Posted in | News | Nanoanalysis | Nanobusiness

Updated Version of NAG Numeric Routines for GPUs Now Available for Nanotechnology Scientists

Scientists and engineers doing nanoscale modeling who are interested in achieving top performance from 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).

Nanotechnology Scientists" />

General Purpose GPUs (graphical processing units) were originally used for 3D 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.

Speaking for NVIDIA, a leader in GPU computing, Andrew Cresci, GM Vertical Marketing comments, "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."

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 -- www.nag.com/contact_us.asp.

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.

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.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.