Difference between revisions of "GPU Tutorial/SAXPY CUDA C"
GPU Tutorial/SAXPY CUDA C
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|type="()"} | |type="()"} | ||
| − | + | - serial programs | |
|| Correct: CPU: optimized for low latency (strong single thread); GPU: optimized for throughput (massive parallelism) | || Correct: CPU: optimized for low latency (strong single thread); GPU: optimized for throughput (massive parallelism) | ||
| − | + | + parallel programs | |
|| Wrong: CPU: optimized for low latency (strong single thread); GPU: optimized for throughput (massive parallelism) | || Wrong: CPU: optimized for low latency (strong single thread); GPU: optimized for throughput (massive parallelism) | ||
</quiz> | </quiz> | ||
Revision as of 17:15, 10 November 2021
| Tutorial | |
|---|---|
| Title: | Introduction to GPU Computing |
| Provider: | HPC.NRW
|
| Contact: | tutorials@hpc.nrw |
| Type: | Multi-part video |
| Topic Area: | GPU computing |
| License: | CC-BY-SA |
| Syllabus
| |
| 1. Introduction | |
| 2. Several Ways to SAXPY: CUDA C/C++ | |
| 3. Several Ways to SAXPY: OpenMP | |
| 4. Several Ways to SAXPY: Julia | |
| 5. Several Ways to SAXPY: NUMBA | |
This video discusses the SAXPY via NVIDIA CUDA C/C++.
Video
Quiz
1. For which kind of programm can we expect improvements with GPUs?
2. What does GPU stands for?
3. Why do we expect an onverhead in the GPU timings?