| Benchmarking with a cross-platform open-source flow solver, PyFR |
Tool |
finite-element-analysis, benchmarking, parallelization, github, fluid-dynamics, openmpi, c++, cuda, mpi |
|
| Cornell Virtual Workshop |
Learning |
jetstream, stampede2, cloud-computing, data-analysis, performance-tuning, parallelization, file-transfer, globus, slurm, training, cuda, matlab, python, r, mpi |
|
| Examples of Thrust code for GPU Parallelization |
Learning |
parallelization, gpu, cuda |
|
| GPU Acceleration in Python |
Learning |
machine-learning, big-data, data-analysis, optimization, parallelization, gpu, cuda, python |
|
| GPU Computing Workshop Series for the Earth Science Community |
Learning |
optimization, performance-tuning, profiling, parallelization, github, pytorch, tensorflow, oceanography, gpu, hpc-arch-and-perf, training, c, c++, fortran, cuda, jupyterhub, programming, programming-best-practices, python |
|
| Introduction to Parallel Programming for GPUs with CUDA |
Learning |
gpu, nvidia, c, c++, cuda |
|
| Setting up PyFR flow solver on clusters |
Learning |
faster, fluid-dynamics, c++, cuda, python, mpi, software-installation |
|