[HYBRID] Heterogeneous Programming on GPUs with MPI & OmpSs
Objectives
The tutorial will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and clusters with GPUs.
More specifically, the tutorial will:
- Introduce the hybrid MPI/OmpSs parallel programming model for future exascale systems
- Demonstrate how to use MPI/OmpSs to incrementally parallelize/optimize:
- MPI applications on clusters of SMPs, and
- Leverage CUDA kernels with OmpSs on clusters of GPUs
Requirements
Prerequisites:
Good knowledge of C/C++
Basic knowledge of CUDA/OpenCL
Basic knowledge of Paraver/Extrae
Learning Outcomes
Academic Staff
Course Convener: Xavier Martorell
Lecturers:
BSC - Computer Sciences department
Materials
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• The User may not commercially use the material, unless has been granted prior written consent by the Licensor to
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• For further details, please contact BSC‐CNS patc [at] bsc [dot] es
Further information
All PATC Courses at BSC do not charge fees.
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Sponsors:
- BSC
- This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101083736.