New services to underpin and innovate your numerical computing revealed by NAG

DENVER, USA: The Numerical Algorithms Group (NAG) has revealed new services to enable users of numerical computing to benefit from NAG's 4 decades of experience and expertise in numerical solutions.

Numerical computing is the core of much of modern business analytics, data processing, modelling and research - i.e. it is often fundamental to the operations and future of the business. Thus, it is critical to be able to rely on the results of numerical computing and to be able to develop a computing advantage over competitors.

NAG has delivered proven solutions in this area through its trusted Numerical Libraries for over 4 decades. In response to customer interest, NAG is now launching its Numerical Services to deliver the expertise and experience behind these highly reputed Libraries directly to developers and users of numerical computing applications - whether they use NAG products or not.

This follows the success of NAG's HPC Services business and enables customer access to the full range of NAG experts - numerical analysts, computer scientists, mathematicians, algorithm developers, software engineers, and more.

At the worlds' largest HPC event, SC13, NAG will be showing how the utilization of NAG expertise can be the bridge to an organisation's cutting-edge use of numerical computation. For example, one pervasive issue driving the need for such services is the changes in hardware towards greater parallelism, sometimes resulting in codes experiencing diminished performance or incorrect results.

NAG now provides a full range of support including HPC services, software and algorithm tuning, custom algorithm development, numerical method selection and specialist numerical and parallel code training, and much more.

Recent successes of the NAG Numerical Services include:

* Helping a pharmaceutical company deliver a tool to run scenario analysis on complete product lifecycles with robust and tested methods.
* A consumer products firm, with a focus on pricing models, used NAG to access some sophisticated regression techniques.
* The financial systems division of a technology services company needed NAG to enhance key statistical models.
* An analysis and pricing firm used NAG to help speed up their application by x 10.
* A precision engineering business had NAG verify their in-house algorithms.