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@@ -3,24 +3,26 @@ GPU Bootcamps are designed to help build confidence in Accelerated Computing and
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This repository consists of GPU bootcamp material for HPC, AI and convergence of both:
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-- [HPC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc)
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+- [HPC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc) ::
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The bootcamp content focuses on how to follow the Analyze, Parallelize and Optimize Cycle to write parallel codes using different parallel programming models accelerating HPC simulations.
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| Lab | Description |
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| ----------- | ----------- |
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-| [N-Ways](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/nways) | Learn about multiple GPU programming models and choose the one that best fits your needs. The material supports different programmin glangauges including C ( CUDA C, OpenACC C, OpenMP C, C++ stdpar ), Fortran ( CUDA Fortran, OpenACC Fortran, OpenMP Fortran, ISO DO CONCURRENT |
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+| [N-Ways](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/nways) | This lab will cover multiple GPU programming models and choose the one that best fits your needs. The material supports different programmin glangauges including C ( CUDA C, OpenACC C, OpenMP C, C++ stdpar ), Fortran ( CUDA Fortran, OpenACC Fortran, OpenMP Fortran, ISO DO CONCURRENT |
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| [OpenACC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/openacc) | The lab will cover how to write portable parallel program that can run on multicore CPUs and accelerators like GPUs and how to apply incremental parallelization strategies using OpenACC |
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-- [Convergence of HPC and 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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The bootcamp content focuses on how AI can accelerate HPC simulations by introducing concepts of Deep Neural Networks, including data pre-processing, techniques on how to build, compare and improve accuracy of deep learning models.
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| Lab | Description |
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| ----------- | ----------- |
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| [Weather Pattern Recognition](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc_ai/ai_science_climate) | This Bootcamp will introduce developers to fundamentals of AI and how data driven approach can be applied to Climate/Weather domain |
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| [CFD Flow Prediction](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc_ai/ai_science_cfd) | This Bootcamp will introduce developers to fundamentals of AI and how they can be applied to CFD (Computational Fluid Dynamics) |
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-- [AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/ai)
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+- [AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/ai)::
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The bootcamp content focuses on using popular accelerated AI frameworks and using optimization techniques to get max performance from accelerators like GPU.
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| Lab | Description |
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| ----------- | ----------- |
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| [Accelerated Intelligent Video Analytics](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/ai/DeepStream) | Learn how Nvidia DeepStream SDK can be used to create optimized Intelligent Video Analytics (IVA) pipeline. Participants will be exposed to the building blocks for creating IVA pipeline followed by profiling exercise to identify hotspots in the pipeline and methods to optimize and get higher throughput |
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bharatk-parallel