In this video, Burak Yenier from the HPC Experiment describes the new UberCloud Marketplace. As a One-Stop-Shop for HPC as a Service, the Marketplace is a place where engineers and scientists can discover, try and buy the computing power and expertise on demand they need for their computational and data-intensive tasks.
DK Panda from Ohio State University presented this talk at 2014 HPC Advisory Council Stanford Conference. “This talk will focus on programming models and their designs for upcoming exascale systems with millions of processors and accelerators. Current status and future trends of MPI and PGAS (UPC and OpenSHMEM) programming models will be presented.”
Mark Harris from Nvidia presents this talk from SC13. “The performance and efficiency of CUDA, combined with a thriving ecosystem of programming languages, libraries, tools, training, and services, have helped make GPU computing a leading HPC technology. Learn how powerful new features in CUDA 6 make GPU computing easier than ever, helping you accelerate more of your application with much less code.”
“NumbaPro is a powerful compiler that takes high-level Python code directly to the GPU producing fast-code that is the equivalent of programming in a lower-level language. It contains an implementation of CUDA Python as well as higher-level constructs that make it easy to map array-oriented code to the parallel architecture of the GPU.”