Metallurgy application development and numerical libraries white paper now available

Citation

(2011), "Metallurgy application development and numerical libraries white paper now available", Anti-Corrosion Methods and Materials, Vol. 58 No. 4. https://doi.org/10.1108/acmm.2011.12858daa.014

Metallurgy application development and numerical libraries white paper now available

Article Type: Conferences, training and publications From: Anti-Corrosion Methods and Materials, Volume 58, Issue 4

Metallurgical 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 – metallurgy edition”.

The “The benefits of using rigorously tested routines from numerical libraries” white paper is geared to help metallurgy researchers 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 – metallurgy edition’ speaks to the difficulties metallurgists now have in using boxed products for intensive mathematical and statistical calculations for thermal processing, metal forming, and optimizing yields in metal casting operations. Larger datasets make it 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 NAGWWMetallurgy@nag.com