The Numerical Algorithms Group (NAG) has added new numerical functionality to its numerical library for C and C++ programmers
The NAG Library has been extended with additional algorithms engineered for efficiency on the current generation of computer systems
Numerical Algorithms Group (NAG) has released a new NAG Library for SMP and Multicore, which will help scientists to make better use of the processing power of multicore computer systems
NAG has released v22 of its NAG Toolbox for Matlab, featuring 1,415 rigrously-tested numerical routines for use by scientists seeking a broad range of mathematical and statistical functionality
Release 5.2, the latest version of IRIS Explorer from NAG, is now available on the Mac OS X platform. IRIS Explorer is an advanced visualisation application development environment and is one of the first modular, multi-purpose visualisation environments
The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Estimates suggest that the global laboratory informatics market, valued at $2.6 billion in 2019, will witness CAGR of 7.5 per cent over the next five years, reaching $3.8 billion in 2024[1].
Modern drug discovery and development workflows incorporate a growing range of automated, high-throughput technologies that can generate data on a truly impressive scale.
‘This will be the life sciences century … because of personalised medicine, information technology, and knowledge on biological systems,’ said Fred Hassan, a partner of Warburg Pincus and former CEO of Schering-Plough.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
