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
Through the use of cutting-edge simulation, software engineers are developing innovative new wind energy technology and increasing the efficiency and durability of wind turbines. The drive to find sustainable energy sources is one of the most pressing concerns facing society.
Dame Sally Davies, the outgoing Chief Medical Officer for England, pulls no punches when it comes to the threat of antibiotic resistance. She has called for an ‘Extinction Rebellion-type’ response to it, describing it as ‘catastrophic’ and ‘as dangerous as climate change’.
The Pistoia Alliance has been pioneering initiatives that will support organisations as they work to enable and engage Fair (findable, accessible, interoperable, reusable) principles of data management and stewardship in their organisations.
Achronix and Bittware collaborate on a new FPGA designed for cloud, AI and machine learning applications, writes Robert Roe
By increasing the energy efficiency of a supercomputer scientists can save huge amounts of money over the total lifecycle of the system. With ever-increasing core counts and increasingly large supercomputers, the drive for increased computational power comes at a cost.
