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[[Category:Tutorials|GPU Computing (CUDA C)]]<nowiki /> {{DISPLAYTITLE:GPU Computing (CUDA C)}}<nowiki /> {{Syllabus Introduction to GPU Computing}}<nowiki /> __TOC__ This video discusses the SAXPY via NVIDIA CUDA C/C++. === Video === <!--T:5--> <youtube width="600" height="340" right>rgqORzT1oCw</youtube> ([[Media:GPU_tutorial_saxpy_cuda_c.pdf | Slides as pdf]]) === Quiz === <!--T:5--> {{hidden begin |title = 1. For which kind of programm can we expect improvements with GPUs?}} <quiz display=simple> { |type="()"} + serial programs || 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) </quiz> {{hidden end}} {{hidden begin |title = 2. What does GPU stands for?}} <quiz display=simple> { |type="()"} + graphics processing unit || Correct - grand powerful unit || Wrong </quiz> {{hidden end}} {{hidden begin |title = 3. Why do we expect an onverhead in the GPU timings?}} <quiz display=simple> { |type="()"} - The data must be copied to an extra device first and has to be transferred back later || Correct, but his is not the whole answer. - A GPU core is "weaker" than a CPU core || Correct, but his is not the whole answer. - For "small" problems like the SAXPY, the whole power of a GPU is rarely used || Correct, but his is not the whole answer. + All of the above || Correct! </quiz> {{hidden end}}

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