From 0f2f7c9ffb90dbd82f76a20fc8849480699ac444 Mon Sep 17 00:00:00 2001 From: Meisam <39205857+MFTabriz@users.noreply.github.com> Date: Mon, 3 Jul 2023 12:57:23 +0200 Subject: [PATCH 1/2] Update link to Nways to GPU programming --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 57ad6730f..1360ea0b4 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ The bootcamp content focuses on how to follow the Analyze, Parallelize and Optim | Lab | Description | | ----------- | ----------- | -| [N-Ways](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/nways) | This Bootcamp will cover multiple GPU programming models and choose the one that best fits your needs. The material supports different programming langauges including C ( CUDA C, OpenACC C, OpenMP C, C++ stdpar ), Fortran ( CUDA Fortran, OpenACC Fortran, OpenMP Fortran, ISO DO CONCURRENT ) Python ( Numba, CuPy ) | +| [N-Ways](https://github.com/openhackathons-org/gpubootcamp/tree/master/archived/hpc/nways) | This Bootcamp will cover multiple GPU programming models and choose the one that best fits your needs. The material supports different programming langauges including C ( CUDA C, OpenACC C, OpenMP C, C++ stdpar ), Fortran ( CUDA Fortran, OpenACC Fortran, OpenMP Fortran, ISO DO CONCURRENT ) Python ( Numba, CuPy ) | | [OpenACC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/openacc) | The Bootcamp 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 | | [Multi GPU Programming Model](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/multi_gpu_nways) | This bootcamp will cover scaling applications to multiple GPUs across multiple nodes. Moreover, understanding of the underlying technologies and communication topology will help us utilize high-performance NVIDIA libraries to extract more performance out of the system | From ae6a97d947f1faac7e01d18dd30eddd63b7dc998 Mon Sep 17 00:00:00 2001 From: Meisam <39205857+MFTabriz@users.noreply.github.com> Date: Mon, 3 Jul 2023 13:02:19 +0200 Subject: [PATCH 2/2] use old org name --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1360ea0b4..1c10dc157 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ The bootcamp content focuses on how to follow the Analyze, Parallelize and Optim | Lab | Description | | ----------- | ----------- | -| [N-Ways](https://github.com/openhackathons-org/gpubootcamp/tree/master/archived/hpc/nways) | This Bootcamp will cover multiple GPU programming models and choose the one that best fits your needs. The material supports different programming langauges including C ( CUDA C, OpenACC C, OpenMP C, C++ stdpar ), Fortran ( CUDA Fortran, OpenACC Fortran, OpenMP Fortran, ISO DO CONCURRENT ) Python ( Numba, CuPy ) | +| [N-Ways](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/archived/hpc/nways) | This Bootcamp will cover multiple GPU programming models and choose the one that best fits your needs. The material supports different programming langauges including C ( CUDA C, OpenACC C, OpenMP C, C++ stdpar ), Fortran ( CUDA Fortran, OpenACC Fortran, OpenMP Fortran, ISO DO CONCURRENT ) Python ( Numba, CuPy ) | | [OpenACC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/openacc) | The Bootcamp 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 | | [Multi GPU Programming Model](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc/multi_gpu_nways) | This bootcamp will cover scaling applications to multiple GPUs across multiple nodes. Moreover, understanding of the underlying technologies and communication topology will help us utilize high-performance NVIDIA libraries to extract more performance out of the system |