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jkloostermanon CS 179: GPU Programming

I'm working on a Ph.D. working in GPU architecture, and this course is the real deal. It goes beyond how to run things on a GPU to analyzing the runtime and work efficiency of algorithms suited to the GPU.

Wen-mei Hwu's lectures on "Advanced Algorithmic Techiques for GPUs" (first lecture slides: http://iccs.lbl.gov/assets/docs/2011-01-24/lecture1_computat...) are a gold mine of GPU programming techniques. I believe he has published several books on the topic too, and released a benchmark suite (Parboil http://impact.crhc.illinois.edu/parboil/parboil.aspx) optimized with these techinques.

jkloostermanon Intel DDIO, LLC cache, buffer alignment, prefetching, and packet rates

Computer architecture researchers have been working at this for a long time. Here's a recent paper on a technique to do the division and modulus operations for arbitrary numbers of cache banks and set sizes.

http://www.cs.utexas.edu/~skeckler/pubs/MICRO_2014_Modulus_I...

They evaluate the technique on a GPU because bank and set conflicts can lead to bad performance more easily on a GPU than a CPU.