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November 16, 2011
NAG Unveils New Parallel Numerical Routines
SEATTLE, Nov. 14 -- The NAG Library http://www.nag.com/numeric/numerical_libraries.asp, a de facto standard for numerical code, has been extended with additional algorithms engineered for efficiency on the current generation of computer systems. With new functions in important areas that include optimization, statistics, matrix operations, PDE and ODE solvers, this update to the NAG Library will benefit particularly software developers whose applications utilize systems with a multiple cores.
Making full use of current computer architectures has required a change in thinking for the numerical computation community. To take advantage of the latest processor and memory configurations, NAG has re-implemented many algorithms so that they are more efficient when running on multiple cores. Additionally, new parallel routines will now appear in the NAG Library. These routines, such as Particle Swarm Optimization, have been chosen because the algorithm is intrinsically parallel and can be applied to solving important classes of problems.
NAG has a longstanding reputation for providing reliable access to modern numerical techniques. The NAG Library is used in fields that are as diverse as science modelling, weather forecasting, financial modelling and complex engineering design. NAG is also well-known to many leading technology organisations who rely on NAG numerical code as a cornerstone for their own products.
The newly-engineered NAG Library routines will be available in December in two NAG Library packages appropriate to either shared or distributed memory computation. The NAG Library for SMP & multicore http://www.nag.com/numeric/FL/FSdescription.asp uses OpenMP (Open Multi-Processing) to effect parallelism for shared memory system. A separate package, the NAG Parallel Library, is designed for distributed memory systems and is based on MPI (Message Passing Interface) techniques.
About NAG
The Numerical Algorithms Group (NAG, www.nag.com), a long established not-for-profit numerical software development organization that collaborates with world-leading researchers and practitioners in academia and industry. With offices in Oxford, Manchester, Chicago, Tokyo and Taipei, and a worldwide partner network, NAG provides high-quality computational software and high performance computing services to tens of thousands of users, from Global 500 companies, major learning academies, the world's leading supercomputing sites, numerous independent software vendors and many others.
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Source: NAG
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