ArrayFire v2.0
17 December 2013
ArrayFire has announced the release of ArrayFire v2.0
Things are hotting up in the world of weather and climate forecasting thanks to today’s highly ambitious projects
AccelerEyes
ArrayFire for Intel Xeon Phi
29 November 2012
AccelerEyes has announced the latest release of ArrayFire, adding support for the new Intel Xeon Phi coprocessors
Jacket v2.1
22 May 2012
AccelerEyes rolls up sleeves with new Jacket
Jacket v2.0
12 December 2011
AccelerEyes has released v2.0 of Jacket, adding GPU computing capabilities for use with Matlab. The latest version delivers even more speed through a host of new improvements, maximising GPU device performance and utilisation
ArrayFire
23 November 2011
AccelerEyes has launched ArrayFire, a freely-available GPU software library supporting Cuda and OpenCL devices
LibJacket v1.0
7 June 2011
AccelerEyes has released version 1.0 of LibJacket, enabling programmers to achieve better GPU performance with less programming
Jacket v1.7
22 March 2011
AccelerEyes has released version 1.7 of its Jacket software for GPU computing with Matlab
Jacket v1.5
28 September 2010
AccelerEyes has released version 1.5 of Jacket, its GPU programming platform for Matlab
Jacket 1.4
12 August 2010
AccelerEyes has released version 1.4 of its Jacket software platform for Matlab, adding support the latest Nvidia GPUs based on the Fermi architecture
Jacket version 1.3
16 April 2010
AccelerEyes has introduced version 1.3 of its Jacket GPU computing software that integrates double precision linear algebra, is easier to setup, performs faster, and is less expensive
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Drug discovery is a complex process that requires increasing resources and time to generate new molecules. As the processes have matured there is an increasing reliance on computational methods to accelerate the discovery process.
Patients across the UK will benefit from better healthcare, treatments and faster diagnosis as the government sets out plans to deliver genomic healthcare
One of the most obvious, and immediate challenges when bringing new software into a lab environment is the likely ‘spaghetti soup’ of existing platforms – possibly from multiple vendors – that are already installed, suggests Richard Milne
With the growth of AI and DL comes new opportunities for emerging applications finds Robert Roe
Robert Roe takes a look at the training and skills development opportunities for scientists using HPC in their research
A round-up of the latest cooling technologies for scientists using HPC to support their research
A round-up of the latest storage products and technology available for scientists using HPC as a tool for their research
