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Nanotech researchers and product developers, many of whom are already contending with slower performance of legacy applications originally developed for 32-bit processors that are now operating in 64-bit systems or supercomputer-level resources, can now obtain a white paper tailored for concerns of environmental researchers--"The Benefits of Using Rigorously Tested Routines from Numerical Libraries—Nanotechnology Edition" by writing to .
The "The Benefits of Using Rigorously Tested Routines from Numerical Libraries" white paper is geared to help nanotech researchers and engineers understand how and why to incorporate use of extensively documented numerical libraries into their application development practices.
The subject matter discussed in the NAG Library Guide white paper is of growing importance to a wide range of finance, industrial, business, scientific research, and engineering applications because of recent multicore processor developments and the emergence of GPU chips and/or widespread access to high performance computing (HPC) resources.
Rob Meyer, NAG CEO and author of this white paper explains, "This white paper-"The Benefits of Using Rigorously Tested Routines from Numerical Libraries—Nanotechnology Edition" speaks to the many areas of nanotech research and development involving computationally intensive mathematical and statistical methods. Given the size of typical datasets in such projects, it is timely to re-examine how computational frameworks are or are not designed for maximum performance."
Meyer continues, "The Numerical Algorithms Group (NAG), a global not-for-profit numerical software development organization that collaborates with world-leading researchers and practitioners in academia and industry, devotes considerable resources to ongoing development of what is arguably the world's most extensive and rigorously tested numerical library—the NAG Library-- available to application developers in C+, C#, F#, FORTRAN, MATLAB, R, Maple and other environment including routines tuned for multi-core and parallel hardware configurations. In recent years, it became clear that many researchers in a wide range of disciplines have yet to grasp that we have entered a period where investments in software, not hardware, matter most. We penned this white paper to help educate a wide range of technical application developers on how they can use numerical libraries to develop software on par with the processing capabilities of multicore systems and HPC computing environments."
To obtain a copy of this white paper write to .
For other sales or information inquiries write to
With origins in several UK universities, the Numerical Algorithms Group (NAG, www.nag.com), is an Oxford, UK headquartered not-for-profit numerical software development organization that collaborates with world-leading researchers and practitioners in academia and industry. NAG serves its customers from offices in Oxford, Manchester, Chicago, Tokyo and Taipei, through field sales staff in France and Germany, as well as via a global network of distributors.
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