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November 16, 2011
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.
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.
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
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The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.