Variations in hardware and parallel programming models make it increasingly difficult to achieve high performance without disruptive platform-specific changes to application software.

Research Staff David Boehme : performance analysis tools, performance optimization, parallel and distributed architectures, parallel programming paradigms John Bowen : GPU programming, parallel …

David Richards : co-design of HPC systems, proxy applications, parallel programming models, Monte Carlo transport, cardiac simulation, molecular dynamics Kevin Sala Penades : heterogeneous …

The Parallel Systems Group carries out research to facilitate the use of extreme-scale computers for scientific discovery. We are especially focused on tools research to maximize the effectiveness of …

BLT supports external dependencies for MPI, CUDA, OpenMP, and ROCm approaches to parallel programming. Everything required to use a dependency—includes, libraries, compile flags, link flags, …

Lawrence Livermore will participate in the 36th annual International Parallel and Distributed Processing Symposium (IPDPS ), which will be held virtually on May 30 through June 3, 2022. The event is a …

Oct 31, 2012 · Yes.Its better. Though inside TPL , its using QueueUserWorkItem and other similar threads. A primary reason for shift is also the lack of platform dependency.Like for windows …

Dec 14, 2011 · As for reading the files in parallel, it probably isn't best to read a chunk from each file at a time (as far as performance goes). When the Windows File Cache sees that you're reading from the …

Nov 4, 2024 · | Johannes Doerfert (presenter) 1:30pm – 5:00pm | Tutorial | PyOMP: Parallel Programming in Python with OpenMP

The toolset specifically aims at the non-determinism introduced by using today’s most dominant parallel programming models, the Message Passing Interface (MPI) and the OpenMP shared-memory …