Eurotech, a provider of embedded computing and supercomputing, introduced at the International Supercomputer Conference (ISC) in Leipzig the new version of the Aurora Tigon supercomputers, powered by the coprocessors Intel Xeon Phi 5120D.
Cray has announced that its CS300 line of cluster supercomputers is now available with the new Intel Xeon Phi coprocessor x100 family
Silicon Mechanics now offers a range of products built with the newly launched Intel Xeon processor E3-1200 v3 product family, the latest generation of processors for entry-level servers.
E4 Computer Engineering, an Italian manufacturer for HPC environments, has released product additions to its Arka series, powered by SECO
Numerical Algorithms Group (NAG) has launched its latest mathematical and statistical library, the NAG Library for Intel Xeon Phi
NCore HPC, a provider of high-performance, low-latency HPC systems, services and solutions, has announced the BrownDwarf Y-class supercomputer
Cray has announced the launch of a new Hadoop solution, which it says will allow customers to apply the combination of supercomputing technologies and an enterprise-strength approach to big data analytics to high-value Hadoop applications
Cray has introduced the Cray XC30-AC supercomputer - the companys addition to its series of Cray XC30 systems
Dell has launched its Active Infrastructure for HPC Life Sciences solution, a pre-integrated, high-performance computing (HPC) platform optimised for the analysis of genomic sequences.
Nallatech, a supplier of FPGA solutions, has become a member of the Altera Preferred Board Partner Program for OpenCL
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
