PRESS RELEASE

Cuda 6

Nvidia has announced Cuda 6, the latest version of its parallel programming language, designed for programming GPUs to accelerate applications by replacing existing CPU-based libraries.

Unified Memory is a new feature introduced with Cuda 6 which aims to simplify programming by enabling applications to access CPU and GPU memory without copying data from one to the other. This enables easier support for GPU acceleration in a range of programming languages, Nvidia claims.

Drop-in libraries have also been added which accelerates applications' BLAS and FFTW calculations by up to 8x by simply replacing the existing CPU libraries with the GPU accelerated equivalents.

Multi-GPU scaling is also now available. Re-designed BLAS and FFT GPU libraries automatically scale performance across up to eight GPUs in a single node, delivering more than nine teraflops of double precision performance per node, and supporting larger workloads than ever before (up to 512GB). In addition to this Multi-GPU scaling compatability has been added for the new BLAS drop-in library.

In addition to the new features, the CUDA 6 platform offers a full suite of programming tools, GPU-accelerated math libraries, documentation and programming guides.

Version 6 of the CUDA Toolkit is expected to be available in early 2014.

Company: 
Analysis and opinion
Feature

Robert Roe looks at research from the University of Alaska that is using HPC to change the way we look at the movement of ice sheets

Feature

Robert Roe talks to cooling experts to find out what innovation lies ahead for HPC users

Analysis and opinion