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KB Resources tagged cuda

Title Category Tags Skill Level
Benchmarking with a cross-platform open-source flow solver, PyFR Tool finite-element-analysis, benchmarking, parallelization, github, fluid-dynamics, openmpi, c++, cuda, mpi Intermediate
Cornell Virtual Workshop Learning jetstream, stampede2, cloud-computing, data-analysis, performance-tuning, parallelization, file-transfer, globus, slurm, training, cuda, matlab, python, r, mpi Beginner, Intermediate, and Advanced
Examples of Thrust code for GPU Parallelization Learning parallelization, gpu, cuda Intermediate and Advanced
GPU Acceleration in Python Learning machine-learning, big-data, data-analysis, optimization, parallelization, gpu, cuda, python Beginner and Intermediate
Introduction to Parallel Programming for GPUs with CUDA Learning gpu, nvidia, c, c++, cuda Intermediate
Setting up PyFR flow solver on clusters Learning faster, fluid-dynamics, c++, cuda, python, mpi, software-installation Advanced
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CCMNet was developed in response to the NSF RCN:CIP solicitation and is funded by NSF Award #2227656. These efforts bring novel structure and consistency to the development of the CIP workforce, enabling a more advanced CIP workforce better able to support today’s research needs, while anticipating future needs.


What is a CIP? CI Professionals is a term developed by the National Science Foundation (NSF). See Transforming Science through Cyberinfrastructure.

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