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Mathematics and Statistics Application Development and Numerical Libraries White Paper Now Available

1 May 2011 No Comment

Mathematicians and statistical researchers—many of whom are already contending with slower performance of legacy applications developed for 32-bit processors operating in 64-bit systems or supercomputer-level resources—can obtain a white paper tailored to concerns of environmental researchers. “The Benefits of Using Rigorously Tested Routines from Numerical Libraries—Mathematics and Statistics Edition” can be obtained by writing to NAGWWMathstatcs@nag.com.

Estimated Incremental Effort Due to Numerical Code Choices

Estimated Incremental Effort Due to Numerical Code Choices

“The Benefits of Using Rigorously Tested Routines from Numerical Libraries” is geared toward helping math and statistical researchers understand how and why to incorporate use of extensively documented numerical libraries into generic ativan no prescription their application development practices.

The subject matter discussed in the Numerical Algorithms Group (NAG) Library Guide white paper is of growing importance to a 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 … speaks to matters affecting computationally intensive mathematics and statistics research and why it is timely to re-examine how computational frameworks are or are not designed for maximum performance.”

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