Key concepts for any procurement, system design, or system analysis are presented in my 2007 Scientific Computing article ( link ). A common sense approach is to keep what works and improve on what doesn’t. In other words, measure the performance characteristics of your current system(s) and keep those characteristics that support your workloads and improve on any that might … [Read more...]
Pragmatic Parallelism Part 1: Introducing OpenACC 1.0
OpenACC lets you program in parallel C/C++ and Fortran in a manner that is concise and where the same source code can be recompiled to run on AMD GPUs, NVIDIA GPUs, Intel Xeon Phi, x86, and ARM. View at Dr. Dobbs (http://www.drdobbs.com/parallel/easy-gpu-parallelism-with-openacc/240001776) This is the first in a series of articles by Rob Farber on OpenACC directives, … [Read more...]
Farber teaches massively parallel computing to grade 6 – 12 students in Saudi Arabia
My book, “CUDA Application Design and Development” [English][Chinese] and Doctor Dobbs tutorials coupled with the rapid adoption of GPU computing have given me the opportunity to speak and teach around the world. This January, I had the pleasure of traveling to Jeddah, Saudi Arabia to speak and teach a short course on OpenACC and CUDA at KAUST (the King Abdullah University of … [Read more...]