ArrayFire has announced the release of ArrayFire v2.0
AccelerEyes has announced the latest release of ArrayFire, adding support for the new Intel Xeon Phi coprocessors
AccelerEyes rolls up sleeves with new Jacket
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
AccelerEyes has launched ArrayFire, a freely-available GPU software library supporting Cuda and OpenCL devices
AccelerEyes has released version 1.0 of LibJacket, enabling programmers to achieve better GPU performance with less programming
AccelerEyes has released version 1.7 of its Jacket software for GPU computing with Matlab
AccelerEyes has released version 1.5 of Jacket, its GPU programming platform for Matlab
AccelerEyes has released version 1.4 of its Jacket software platform for Matlab, adding support the latest Nvidia GPUs based on the Fermi architecture
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
Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
