The Numerical Algorithms Group (NAG) has announced that stem-cell researchers can now download the NAG Library for SMP and Multicore.
The library is said to be suitable for stem-cell researchers seeking better use of the processing power of multicore computer systems along with a simple way to migrate existing applications to multi-processor architectures.
Mathematical and statistical algorithms optimised for performance on multicore architectures have become key to progress in various aspects of stempeutics development, genome mapping using stem cells, cancer research and other research relying on stem-cell technology development.
The NAG Library for SMP and Multicore contains more than 1,600 routines, including more than 100 new routines for this release.
Dr Hartmut Schmider of the computational support team of the High Performance Computing Virtual Laboratory at Queen's University in Kingston, Ontario, said: 'The NAG Library is very good for work on multiple cores because of the reliable parallel design of the algorithms.
'It is also because of the common interface for both serial and multicore libraries.
'This enables users to speed up their code on many multiple core architectures with greatly reduced effort,' added Schmider.
David Cassell, NAG product marketing manager, said: 'Most current processors are multicore and can provide benefits when programmed with parallel techniques.
'In fact, if you do not use routines tuned for multicore architectures, applications are now likely to execute more slowly.
'The NAG Library for SMP and Multicore also has been designed to make it easy to move those applications that currently call serial routines into the parallel world by the use of common calls and common documentation,' he added.
