However, most of distributed and parallel graph algorithms in the MPC model are designed for static ... research on 15 August 2024 in Frontiers of Computer Science co-published by Higher Education ...

CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures (shared memory, distributed memory, CPU vs. GPU, multicore vs. multiprocessor), ...

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by ... software and a many-core GPU Computing Processor called Tesla. Writing highly parallel code is hard, but many ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for ... signal processing, and parallel algorithms. In general, CUDA libraries support all families of NVIDIA ...

In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. Measuring and reporting performance of parallel computers constitutes the basis for ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model.

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.

A new technical paper titled “Computing high-degree polynomial gradients ... work could enable even higher-performance systems after co-designing algorithms to exploit massively parallel gradient ...