“Bulk leverages Hyper-Q and CUDA streams to run concurrent tasks on the GPU. It lets the programmer describe a parallel task (e.g. sort, for_each, reduction, etcetera) as a hierarchical grouping of execution agents.”
How New Features in CUDA 6 Make GPU Acceleration Easier
February 1, 2014 by
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.”
CUDA 6 Release Simplifies Parallel Programming With Unified Memory, Drop-In Libraries
November 14, 2013 by
Today Nvidia announced CUDA 6, the latest version of the company’s parallel computing platform designed to make parallel programming easier than ever.
Allinea DDT Announces Support for NVIDIA CUDA 5.5 and CUDA on ARM
November 12, 2013 by
Today Allinea Software announced support for version 5.5 of the NVIDIA CUDA parallel programming toolkit. The new release includes debugging support for C++11, GNU 4.8 compilers, and ARMv7 architectures, which will soon power hybrid platforms with lower energy consumption for HPC.
