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Figure shows the speed increases of using the NAG library
for SMP and multicore – NAG routine used “Nearest Correlation Matrix” problem size of N = 10,000 Numerical Algorithms Group
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This not-for-profit numerical software development organization offers a library of numerical algorithms for chemical research that are optimized for performance on multicore computing architectures. The downloadable NAG Library for Symmetric Multiprocessors (SMP) and Multicore (photo) is designed to help industrial and academic chemical researchers make the best use of the processing power available through the shared-memory parallelism of multicore computer systems. The mathematical and statistical algorithms are key tools in modeling, chemometrics and other chemical engineering research, especially at the nanoscale, the organization says. — Numerical Algorithms Group, Oxford, U.K.