Fixed the download links for profiler and zip files

ai/DeepStream/English/python/jupyter_notebook/Multi-stream_Multi_DNN.ipynb

@@ -726,7 +726,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

ai/DeepStream/English/python/jupyter_notebook/Multi-stream_pipeline.ipynb

@@ -616,7 +616,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

ai/DeepStream_Perf_Lab/English/python/jupyter_notebook/Performance_Analysis_using_NSight_systems.ipynb

@@ -156,7 +156,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Click Here](../source_code/reports/report1.qdrep) to download the report file.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/reports/report1.qdrep) .\n",
     "\n",
     "Opening the above in NSight Compute we can notice that Stream Muxer is the key bottleneck and the pipeline is waiting for the Muxer to finish. \n",
     "\n",
@@ -262,7 +262,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Click Here](../source_code/reports/report2.qdrep) to download the report file.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/reports/report2.qdrep)\n",
     "\n",
     "Let us now open this in NSight systems and view it.\n",
     "\n",
@@ -350,7 +350,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Click Here](../source_code/reports/report3.qdrep) to download the report file.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/reports/report3.qdrep)\n",
     "\n",
     "Let us now download and open the NSight systems report to review it.\n",
     "\n",
@@ -504,7 +504,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

ai/DeepStream_Perf_Lab/English/python/jupyter_notebook/Performance_Analysis_using_NSight_systems_Continued.ipynb

@@ -609,7 +609,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Click Here](../source_code/reports/report4.qdrep) to download the report file.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/reports/report4.qdrep)\n",
     "\n",
     "![report4](images/report4.PNG)\n",
     "\n",
@@ -655,7 +655,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Click Here](../source_code/reports/report5.qdrep) to download the report file.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/reports/report5.qdrep)\n",
     "\n",
     "![report5](images/report5.PNG)\n",
     "\n",
@@ -768,7 +768,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/C/jupyter_notebook/profiling-c-lab1.ipynb

@@ -136,7 +136,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)"
    ]
   },
   {
@@ -191,7 +191,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/C/jupyter_notebook/profiling-c-lab2.ipynb

@@ -83,7 +83,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can see that the changes made actually slowed down the code and it runs slower compared to the non-accelerated CPU only version. Let's checkout the profiler's report. [Download the profiler output](../source_code/lab2/miniWeather_3.qdrep) and open it via the GUI. \n",
+    "You can see that the changes made actually slowed down the code and it runs slower compared to the non-accelerated CPU only version. Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/lab2/miniWeather_3.qdrep) and open it via the GUI. \n",
     "\n",
     "From the \"timeline view\" on the top pane, double click on the \"CUDA\" from the function table on the left and expand it. Zoom in on the timeline and you can see a pattern similar to the screenshot below. The blue boxes are the compute kernels and each of these groupings of kernels is surrounded by purple and teal boxes (annotated with red color) representing data movements. **Screenshots represents profiler report for the values of 400,200,1500.**\n",
     "\n",
@@ -121,7 +121,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)"
    ]
   },
   {
@@ -176,7 +176,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/C/jupyter_notebook/profiling-c-lab3.ipynb

@@ -121,7 +121,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Download the profiler output](../source_code/lab3/miniWeather_4.qdrep) and open it via the GUI. Now have a close look at the kernel functions on the timeline and the occupancy.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/lab3/miniWeather_4.qdrep) and open it via the GUI. Now have a close look at the kernel functions on the timeline and the occupancy.\n",
     "\n",
     "<img src=\"images/occu-3.png\" width=\"40%\" height=\"40%\">\n",
     "\n",
@@ -186,7 +186,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)"
    ]
   },
   {
@@ -241,7 +241,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/C/jupyter_notebook/profiling-c-lab4.ipynb

@@ -90,7 +90,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Download the profiler output](../source_code/lab4/miniWeather_5.qdrep) and open it via the GUI. Have a look at the example expected output below:\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/lab4/miniWeather_5.qdrep) and open it via the GUI. Have a look at the example expected output below:\n",
     "\n",
     "<img src=\"images/nsys_fast_mv.png\">\n",
     "\n",
@@ -124,7 +124,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)"
    ]
   },
   {
@@ -179,7 +179,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/C/jupyter_notebook/profiling-c.ipynb

@@ -219,7 +219,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/Fortran/jupyter_notebook/miniweather.ipynb

@@ -106,7 +106,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/Fortran/jupyter_notebook/profiling-fortran-lab1.ipynb

@@ -129,7 +129,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)."
    ]
   },
   {
@@ -184,7 +184,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/Fortran/jupyter_notebook/profiling-fortran-lab2.ipynb

@@ -100,7 +100,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can see that the changes made actually slowed down the code and it runs slower compared to the non-accelerated CPU only version. Let's checkout the profiler's report. [Download the profiler output](../source_code/lab2/miniWeather_3.qdrep) and open it via the GUI. \n",
+    "You can see that the changes made actually slowed down the code and it runs slower compared to the non-accelerated CPU only version. Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/lab2/miniWeather_3.qdrep) and open it via the GUI. \n",
     "\n",
     "From the \"timeline view\" on the top pane, double click on the \"CUDA\" from the function table on the left and expand it. Zoom in on the timeline and you can see a pattern similar to the screenshot below. The blue boxes are the compute kernels and each of these groupings of kernels is surrounded by purple and teal boxes (annotated with red color) representing data movements. **Screenshots represents profiler report for the values of 400,200,1500.**\n",
     "\n",
@@ -138,7 +138,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)."
    ]
   },
   {
@@ -193,7 +193,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/Fortran/jupyter_notebook/profiling-fortran-lab3.ipynb

@@ -115,7 +115,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Download the profiler output](../source_code/lab3/miniWeather_4.qdrep) and open it via the GUI. Now have a close look at the kernel functions on the timeline and the occupancy.\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/lab3/miniWeather_4.qdrep) and open it via the GUI. Now have a close look at the kernel functions on the timeline and the occupancy.\n",
     "\n",
     "<img src=\"images/occu-3.png\" width=\"40%\" height=\"40%\">\n",
     "\n",
@@ -174,7 +174,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file [here] by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)."
    ]
   },
   {
@@ -229,7 +229,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/Fortran/jupyter_notebook/profiling-fortran-lab4.ipynb

@@ -91,7 +91,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[Download the profiler output](../source_code/lab4/miniWeather_5.qdrep) and open it via the GUI. Have a look at the example expected output below:\n",
+    "Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../source_code/lab4/miniWeather_5.qdrep) and open it via the GUI. Have a look at the example expected output below:\n",
     "\n",
     "<img src=\"images/nsys_fast_mv.png\">\n",
     "\n",
@@ -125,7 +125,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_profiler_files.zip)."
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_profiler_files.zip)."
    ]
   },
   {
@@ -180,7 +180,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/miniprofiler/English/Fortran/jupyter_notebook/profiling-fortran.ipynb

@@ -230,7 +230,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/cudac/nways_cuda.ipynb

@@ -319,7 +319,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/cudac/rdf_cuda.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/cudac/rdf_cuda.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/cuda_profile_timeline.png\">\n",
     "\n",
@@ -372,7 +372,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip)\n",
+    ".Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -418,7 +419,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/openacc/nways_openacc_opt_1.ipynb

@@ -65,7 +65,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_parallel.qdrep) and open it via the GUI."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_parallel.qdrep) and open it via the GUI."
    ]
   },
   {
@@ -147,7 +147,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_gang_vector.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_gang_vector.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/gang_128.png\">\n",
     "\n",
@@ -228,7 +228,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/collapse_thread.png\">\n",
     "\n",
@@ -288,7 +288,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: If you wish to dig deeper and profile the kernel with the Nsight Compute profiler, go to the next notebook. Otherwise, please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code. \n",
     "\n",
@@ -335,7 +337,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/openmp/nways_openmp.ipynb

@@ -325,7 +325,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/openmp_multicore.png\">\n",
     "\n",
@@ -408,7 +408,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/openmp_gpu.png\">"
    ]
@@ -468,7 +468,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip)\n",
+    ".Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "<!--\n",
     "**IMPORTANT**: If you would like to continue and optimize this application further with OpenMP, please click on the **NEXT** button, otherwise click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
@@ -521,7 +522,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/openmp/nways_openmp_opt_1.ipynb

@@ -60,7 +60,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_offload.qdrep) and open it via the GUI."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_offload.qdrep) and open it via the GUI."
    ]
   },
   {
@@ -158,7 +158,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_offload_split.qdrep) and open it via the GUI. Compare the execution time for the `Pair_Calculation` from the NVTX row with the previous section and see how much the performance was improved.\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split.qdrep) and open it via the GUI. Compare the execution time for the `Pair_Calculation` from the NVTX row with the previous section and see how much the performance was improved.\n",
     "\n",
     "Feel free to checkout the [solution](../../source_code/openmp/SOLUTION/rdf_offload_split.cpp) to help you understand better."
    ]
@@ -188,7 +188,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: If you wish to dig deeper and profile the kernel with the Nsight Compute profiler, go to the next notebook. Otherwise, please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code. \n",
     "\n",
@@ -237,7 +238,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/openmp/nways_openmp_opt_2.ipynb

@@ -57,7 +57,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_offload_split.qdrep) and open it via the GUI. Now, right click on the kernel and click on \"Analyze the Selected Kernel with NVIDIA Nsight Compute\" (see below screenshot). \n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split.qdrep) and open it via the GUI. Now, right click on the kernel and click on \"Analyze the Selected Kernel with NVIDIA Nsight Compute\" (see below screenshot). \n",
     "\n",
     "<img src=\"../images/compute_analyz.png\">\n",
     "\n",
@@ -84,7 +84,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_offload_split.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/openmp_offload_split_cmp.png\">\n",
     "\n",
@@ -171,7 +171,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_offload_split_num.qdrep) and open it via the GUI. Let's dig deeper and profile the `pair_gpu` kernel with Nsight Compute and compare it with the baseline."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split_num.qdrep) and open it via the GUI. Let's dig deeper and profile the `pair_gpu` kernel with Nsight Compute and compare it with the baseline."
    ]
   },
   {
@@ -188,7 +188,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_offload_split_num.ncu-rep) and open it via the GUI. \n",
+    "Let's checkout the Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split_num.ncu-rep) and open it via the GUI. \n",
     "\n",
     "<img src=\"../images/openmp_offload_split_cmp2.png\">\n",
     "\n",
@@ -285,7 +285,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/openmp_gpu_collapse.png\">\n",
     "\n",
@@ -308,7 +308,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_collapse.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (yellow is the base version, blue is the current):\n",
+    "Let's checkout the Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (yellow is the base version, blue is the current):\n",
     "\n",
     "<img src=\"../images/openmp_offload_collapse.png\">\n",
     "\n",
@@ -378,7 +378,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_collapse_regcount.qdrep) and open it via the GUI. Let's dig deeper and profile the `pair_gpu` kernel with Nsight Compute and compare it with the baseline."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse_regcount.qdrep) and open it via the GUI. Let's dig deeper and profile the `pair_gpu` kernel with Nsight Compute and compare it with the baseline."
    ]
   },
   {
@@ -395,7 +395,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_collapse_regcount.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (pink is the previous version using `collapse` clause, blue is the current after limiting the register count):\n",
+    "Let's checkout the Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse_regcount.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (pink is the previous version using `collapse` clause, blue is the current after limiting the register count):\n",
     "\n",
     "<img src=\"../images/openmp_collapse_reg.png\">\n",
     "\n",
@@ -450,7 +450,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -498,7 +500,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/serial/rdf_overview.ipynb

@@ -68,7 +68,7 @@
     "\n",
     "<img src=\"../images/serial.png\" width=\"70%\" height=\"70%\">\n",
     "\n",
-    "To view the profiler report, you would need to [Download the profiler output](../../source_code/serial/rdf_serial.qdrep) and open it via the GUI. For more information on how to open the report via the GUI, please checkout the section on [How to view the report](../../../../../profiler/English/jupyter_notebook/profiling-c.ipynb#gui-report). \n",
+    "To view the profiler report, you would need to Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/serial/rdf_serial.qdrep) and open it via the GUI. For more information on how to open the report via the GUI, please checkout the section on [How to view the report](../../../../../profiler/English/jupyter_notebook/profiling-c.ipynb#gui-report). \n",
     "\n",
     "From the timeline view, right click on the nvtx row and click the \"show in events view\". Now you can see the nvtx statistic at the bottom of the window which shows the duration of each range. In the following labs, we will look in to the profiler report in more detail. \n",
     "\n",
@@ -121,7 +121,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/C/jupyter_notebook/stdpar/nways_stdpar.ipynb

@@ -209,7 +209,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/stdpar/rdf_stdpar_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/stdpar/rdf_stdpar_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/stdpar_multicore.png\">\n",
     "\n",
@@ -281,7 +281,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/stdpar/rdf_stdpar_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/stdpar/rdf_stdpar_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/stdpar_gpu.png\">\n",
     "\n",
@@ -336,7 +336,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip). \n",
+    "\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -381,7 +383,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/cudafortran/nways_cuda.ipynb

@@ -419,7 +419,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/cudafortran/rdf_cuda.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/cudafortran/rdf_cuda.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/cuda_profile_timeline.jpg\">\n",
     "\n",
@@ -468,7 +468,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and zip the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -514,7 +516,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/doconcurrent/nways_doconcurrent.ipynb

@@ -166,7 +166,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/doconcurrent/rdf_doconcurrent_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/doconcurrent/rdf_doconcurrent_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/do_concurrent_multicore.jpg\">\n",
     "\n",
@@ -244,7 +244,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/doconcurrent/rdf_doconcurrent_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/doconcurrent/rdf_doconcurrent_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/do_concurrent_gpu.jpg\">\n",
     "\n",
@@ -298,7 +298,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -343,7 +345,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/openacc/nways_openacc_opt_1.ipynb

@@ -63,7 +63,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_parallel.qdrep) and open it via the GUI."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_parallel.qdrep) and open it via the GUI."
    ]
   },
   {
@@ -166,7 +166,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_gang_vector.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_gang_vector.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/f_gang_128.png\">\n",
     "\n",
@@ -265,7 +265,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openacc/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openacc/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/f_collapse_thread.png\">\n",
     "\n",
@@ -321,7 +321,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: If you wish to dig deeper and profile the kernel with the Nsight Computer profiler, go to the next notebook. Otherwise, please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code. \n",
     "\n",
@@ -368,7 +370,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/openmp/nways_openmp.ipynb

@@ -321,7 +321,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_multicore.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/f_openmp_multicore.png\">\n",
     "\n",
@@ -410,7 +410,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_offload_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_gpu.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/f_openmp_gpu.png\">"
    ]
@@ -470,7 +470,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -516,7 +517,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/openmp/nways_openmp_opt_2.ipynb

@@ -56,7 +56,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_offload_split.qdrep) and open it via the GUI. Now, right click on the kernel and click on \"Analyze the Selected Kernel with NVIDIA Nsight Compute\" (see below screenshot). \n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split.qdrep) and open it via the GUI. Now, right click on the kernel and click on \"Analyze the Selected Kernel with NVIDIA Nsight Compute\" (see below screenshot). \n",
     "\n",
     "<img src=\"../images/compute_analyz.png\">\n",
     "\n",
@@ -83,7 +83,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_offload_split.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/f_openmp_offload_split_cmp.png\">\n",
     "\n",
@@ -170,7 +170,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_offload_split_num.qdrep) and open it via the GUI. Let's dig deeper and profile the application with Nsight Compute and compare it with the baseline."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split_num.qdrep) and open it via the GUI. Let's dig deeper and profile the application with Nsight Compute and compare it with the baseline."
    ]
   },
   {
@@ -187,7 +187,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_offload_split_num.ncu-rep) and open it via the GUI. \n",
+    "Let's checkout the Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_offload_split_num.ncu-rep) and open it via the GUI. \n",
     "\n",
     "<img src=\"../images/f_openmp_offload_split_cmp2.png\">\n",
     "\n",
@@ -280,7 +280,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse.qdrep) and open it via the GUI. Have a look at the example expected profiler report below:\n",
     "\n",
     "<img src=\"../images/f_openmp_gpu_collapse.png\">\n",
     "\n",
@@ -303,7 +303,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_collapse.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (yellow is the base version, blue is the current):\n",
+    "Let's checkout the Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (yellow is the base version, blue is the current):\n",
     "\n",
     "<img src=\"../images/f_openmp_offload_collapse.png\">\n",
     "\n",
@@ -373,7 +373,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the profiler's report. [Download the profiler output](../../source_code/openmp/rdf_collapse_regcount.qdrep) and open it via the GUI. Let's dig deeper and profile the application with Nsight Compute and compare it with the baseline."
+    "Let's checkout the profiler's report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse_regcount.qdrep) and open it via the GUI. Let's dig deeper and profile the application with Nsight Compute and compare it with the baseline."
    ]
   },
   {
@@ -390,7 +390,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's checkout the Nsight Compute report. [Download the profiler output](../../source_code/openmp/rdf_collapse_regcount.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (pink is the previous version using `collapse` clause, blue is the current after limiting the register count):\n",
+    "Let's checkout the Nsight Compute report. Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/openmp/rdf_collapse_regcount.ncu-rep) and open it via the GUI. Have a look at the example expected profiler report below (pink is the previous version using `collapse` clause, blue is the current after limiting the register count):\n",
     "\n",
     "<img src=\"../images/f_openmp_collapse_reg.png\">\n",
     "\n",
@@ -445,7 +445,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip). Let us now go back to parallelizing our code using other approaches.\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
+    "Let us now go back to parallelizing our code using other approaches.\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -493,7 +494,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/serial/rdf_overview.ipynb

@@ -66,7 +66,7 @@
     "\n",
     "<img src=\"../images/serial.jpg\" width=\"70%\" height=\"70%\">\n",
     "\n",
-    "To view the profiler report, you would need to [Download the profiler output](../../source_code/serial/rdf_serial.qdrep) and open it via the GUI. For more information on how to open the report via the GUI, please checkout the section on [How to view the report](../../../../../profiler/English/jupyter_notebook/profiling-c.ipynb#gui-report). \n",
+    "To view the profiler report, you would need to download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/serial/rdf_serial.qdrep) and open it via the GUI. For more information on how to open the report via the GUI, please checkout the section on [How to view the report](../../../../../profiler/English/jupyter_notebook/profiling-c.ipynb#gui-report). \n",
     "\n",
     "From the timeline view, right click on the nvtx row and click the \"show in events view\". Now you can see the nvtx statistic at the bottom of the window which shows the duration of each range. In the following labs, we will look in to the profiler report in more detail. \n",
     "\n",
@@ -119,7 +119,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Python/jupyter_notebook/cupy/cupy_guide.ipynb

@@ -750,7 +750,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip).\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -806,7 +806,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Python/jupyter_notebook/cupy/serial_RDF.ipynb

@@ -323,7 +323,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To view the profiler report, you need to [download the profiler output](../../source_code/serial/serial_cpu_rdf.qdrep) and open it via the graphical user interface (GUI). A sample expected profile report is shown below:\n",
+    "To view the profiler report, you need to Download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/serial/serial_cpu_rdf.qdrep) and open it via the graphical user interface (GUI). A sample expected profile report is shown below:\n",
     "\n",
     "<img src=\"../images/cupy_nsys1.png\"/>\n",
     "<img src=\"../images/cupy_nsys3.png\"/>\n",
@@ -359,7 +359,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip).\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -405,7 +405,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Python/jupyter_notebook/numba/numba_guide.ipynb

@@ -539,7 +539,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip).\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -595,7 +595,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Python/jupyter_notebook/numba/serial_RDF.ipynb

@@ -323,7 +323,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To view the profiler report, you need to [download the profiler output](../../source_code/serial/serial_cpu_rdf.qdrep) and open it via the graphical user interface (GUI). A sample expected profile report is given below:\n",
+    "To view the profiler report, you need to download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/serial/serial_cpu_rdf.qdrep) and open it via the graphical user interface (GUI). A sample expected profile report is given below:\n",
     "\n",
     "<img src=\"../images/numba_nsys1.png\"/>\n",
     "<img src=\"../images/numba_nsys2.png\"/>\n",
@@ -356,7 +356,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "**After** executing the above zip command, you should be able to download the zip file [here](../nways_files.zip).\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file [here] by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../nways_files.zip).\n",
     "\n",
     "**IMPORTANT**: Please click on **HOME** to go back to the main notebook for *N ways of GPU programming for MD* code.\n",
     "\n",
@@ -402,7 +402,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/nways/nways_labs/nways_MD/English/Python/jupyter_notebook/serial/rdf_overview.ipynb

@@ -69,7 +69,7 @@
     "<img src=\"../images/serial_cpu_rdf1.png\" width=\"700px\" height=\"600px\"/>\n",
     "<img src=\"../images/serial_cpu_rdf2.png\" width=\"700px\" height=\"400px\"/>\n",
     "\n",
-    "To view the profiler report, you need to [download the profiler output](../../source_code/serial/serial_cpu_rdf.qdrep) and open it via the graphical user interface (GUI). For more information on how to open the report via the GUI, please check out the section on [how to view the report](../../../../../profiler/English/jupyter_notebook/profiling-c.ipynb#gui-report). \n",
+    "To view the profiler report, you need to download and save the report file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../../source_code/serial/serial_cpu_rdf.qdrep) and open it via the graphical user interface (GUI). For more information on how to open the report via the GUI, please check out the section on [how to view the report](../../../../../profiler/English/jupyter_notebook/profiling-c.ipynb#gui-report). \n",
     "\n",
     "From the timeline view, right click on the nvtx row and click the \"show in events view\". You can see the nvtx statistic at the bottom of the window which shows the duration of each range. In the following labs, we will explore the profiler report in more detail. \n",
     "\n",
@@ -104,13 +104,6 @@
     "\n",
     "This material is released by OpenACC-Standard.org, in collaboration with NVIDIA Corporation, under the Creative Commons Attribution 4.0 International (CC BY 4.0). "
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -129,7 +122,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/C/jupyter_notebook/openacc_c_lab1.ipynb

@@ -516,7 +516,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_files.zip)\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_files.zip)\n",
     "\n",
     "---\n",
     "## Licensing\n",
@@ -540,7 +540,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/C/jupyter_notebook/openacc_c_lab2.ipynb

@@ -642,7 +642,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_files.zip)\n",
+    "**After** executing the above zip command, you should be able to download and share the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_files.zip)\n",
     "\n",
     "--- \n",
     "\n",
@@ -668,7 +668,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/C/jupyter_notebook/openacc_c_lab3-bonus.ipynb

@@ -235,7 +235,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/C/jupyter_notebook/openacc_c_lab3.ipynb

@@ -377,7 +377,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_files.zip)\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_files.zip)\n",
     "\n",
     "### Other Bootcamps\n",
     "The contents of this Bootcamp originates from [OpenACC GPU Bootcamp Github](https://github.com/gpuhackathons-org/gpubootcamp).  Here are some addional Bootcamp which might of interest: \n",
@@ -408,7 +408,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/Fortran/jupyter_notebook/openacc_fortran_lab1.ipynb

@@ -517,7 +517,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_files.zip)\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_files.zip)\n",
     "\n",
     "--- \n",
     "\n",
@@ -543,7 +543,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/Fortran/jupyter_notebook/openacc_fortran_lab2.ipynb

@@ -626,7 +626,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_files.zip)\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_files.zip)\n",
     "\n",
     "--- \n",
     "\n",
@@ -652,7 +652,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

hpc/openacc/English/Fortran/jupyter_notebook/openacc_fortran_lab3.ipynb

@@ -361,7 +361,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**After** executing the above zip command, you should be able to download the zip file [here](../openacc_files.zip)\n",
+    "**After** executing the above zip command, you should be able to download and save the zip file by holding down <mark>Shift</mark> and <mark>Right-Clicking</mark> [Here](../openacc_files.zip)\n",
     "\n",
     "### Other Bootcamps\n",
     "The contents of this Bootcamp originates from [OpenACC GPU Bootcamp Github](https://github.com/gpuhackathons-org/gpubootcamp).  Here are some addional Bootcamp which might of interest: \n",
@@ -392,7 +392,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,