This paper will discuss high performance clustering from a series of critical topics: architectural design, system software infrastructure, and programming environment. This will ...
David A. Bader, Arthur B. Maccabe, Jason R. Mastal...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...
Clusters of networked, off-the-shelf workstations are currently used for computationintensive, parallel applications. However, it is hardly possible to predict the timing behaviou...
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
An important means of validating the design of commercial-grade shared memory multiprocessors is to run a large number of pseudo-random test programs on them. However, when intent...