PRESS RELEASE

LibJacket v1.0

AccelerEyes has released version 1.0 of LibJacket, enabling programmers to achieve better GPU performance with less programming. Designed for use with any Cuda application, in the same way that the native Cublas and Cufft libraries are used, the library is available for C, C++, Fortran, and Python. It can also be used to avoid writing kernel code, for productivity and performance gains. LibJacket is suitable for all Cuda-capable GPUs, from laptops and workstations to high-end supercomputers, and high-level, matrix style code achieves low-level, down-to-metal speeds so that developers can quickly build high-performance applications. This high-level interface makes it easy to experiment and change various parts of algorithms without having to recode and tune from scratch. This new v1.0 release also incorporates the popular GFOR loop for running FOR loop iterations simultaneously on the GPU.

Company: 
Feature

For functionality and security for externalised research, software providers have turned to the cloud, writes Sophia Ktori

Feature

Robert Roe looks at the latest simulation techniques used in the design of industrial and commercial vehicles

Feature

Robert Roe investigates the growth in cloud technology which is being driven by scientific, engineering and HPC workflows through application specific hardware

Feature

Robert Roe learns that the NASA advanced supercomputing division (NAS) is optimising energy efficiency and water usage to maximise the facility’s potential to deliver computing services to its user community

Feature

Robert Roe investigates the use of technologies in HPC that could help shape the design of future supercomputers