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update link to "N-Ways to GPU programming" #116

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update link to "N-Ways to GPU programming" #116

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0f2f7c9
Update link to Nways to GPU programming
MFTabriz Jul 3, 2023
ae6a97d
use old org name
MFTabriz Jul 3, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -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/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 |

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