BSC Training Courses are free of charge. The attendees would need to cover the expenses for travel, accommodation and meals.
This course will be held in person.
You will need to bring your own laptop.
Course Convener: Xavier Martorell, BSC Computer Sciences/ Parallel Programming Models Group Manager
Lecturers:
BSC - Computer Sciences department
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
Learning Outcomes: The students who finish this course will be able to develop benchmarks and simple applications with the MPI/OmpSs programming model to be executed in clusters and clusters of GPUs, and with the OmpSs@FPGA, to be executed on FPGA boards, like the Zedboard, or Xilinx ZCU102 and Alveo.
Prerequisites:
Good knowledge of C/C++
Basic knowledge of CUDA/OpenCL
Basic knowledge of Paraver/Extrae