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@@ -1,14 +1,22 @@
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# GPUBootcamp Official Training Materials
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-This repository consists of GPU bootcamp material for both HPC and AI:
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+This repository consists of GPU bootcamp material for HPC, AI and convergence of both:
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- [AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/ai)
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- [HPC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc)
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-- [HPC_AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc_ai)
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+- [Convergence of HPC and AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc_ai)
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# System Requirements
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-Each lab contains docker and singularity definition files. Follow the readme files inside each on how to build the container and run the labs inside it.
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+Each lab contains docker and singularity definition files. Follow the readme files inside each on how to build the container and run the labs inside it.
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+
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+# Contribution
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+- The repository uses Apache 2.0 license. For more details on folder structure developers may refer to CONTRIBUTING.md file.
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+- A project template for reference is located at [Template](https://github.com/bharatk-parallel/gpubootcamp-1/tree/nways_md_fortran/misc/jupyter_lab_template/appName)
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+
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+# Feature Request or filing issues
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+- Bootcamp users may request for newer training material or file a bug by filing a github issues
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+- Please do go through the existing list of issues to get more details of upcoming features and bugs currently being fixed [Issues](https://github.com/gpuhackathons-org/gpubootcamp/issues)
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<!--# Slides:
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The slides associated with these training materials can be downloaded from [Google Slides](https://drive.google.com/drive/folders/1laRYdu6mtSA29M6Xthc1jP8AEOtVnbBo?usp=sharing)-->
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Bharatkumar Sharma