(NAG: Oxford, UK) -- Quality engineers performing data-intensive quality design and analysis modeling who are interested in achieving top performance from graphical processing units (GPUs) in diverse applications using Monte Carlo simulations can now obtain an updated version of NAG numeric routines for GPUs from the Numerical Algorithms Group (NAG).

General purpose GPUs were originally used for 3-D gaming acceleration on personal computers but have recently been at the forefront of numerical and scientific computation. Monte Carlo simulations are used in a wide array of technical computing applications in diverse areas such as finance, engineering simulations, drug discovery, scientific research, oil and gas exploration, and more.

“The ecosystem around GPU computing is growing rapidly and NAG’s additions to their routines for GPU computing could not be more timely. NAG’s numerical libraries are renowned for delivering top performance while maintaining the highest standards of accuracy. There are now some 60,000 active CUDA developers; and providing access to trusted algorithms from NAG is a major milestone that enhances the maturity of NVIDIA’s GPU computing architecture,” says Andrew Cresci, NVIDIA’s general manager of vertical marketing.

NAG’s numerical routines for GPU computing are available to academic researchers involved in collaborative research with the NAG organization. Commercial organizations can also get access to NAG’s GPU code and programming services by contacting the NAG offices in their locale.

The latest release of NAG’s code for GPUs contains routines for Monte Carlo simulations—quasi and pseudo random number generators, Brownian bridge, and associated statistical distributions.

For more details, see www.nag.com/numeric/GPUs.