NAG worked with Mahindra and Google Cloud to enable the OpenFrontEnd Toolkit, adding customizations, providing key interventions and knowledge transfer to optimize Mahindra’s HPC.

Magnetic materials come in many different forms. The most familiar are ferromagnets, such as iron and nickel, which become magnetized in an external magnetic field and retain their magnetization after the field has been switched off.

Faced with an increasingly competitive power supply market and stricter environmental targets, optimizing the performance of its power plants has become a major challenge for PowerGen, a global generator, distributor and supplier of electricity.

The Centre for Environment, Fisheries and Aquaculture Science (Cefas) use an off-line particle tracking model that requires velocity fields from a hydrodynamic model.

zCFD by Zenotech is a computational fluid dynamics (CFD) solver for steady-state or time-dependent flow simulation. It is written in Python and C++ and parallelised with OpenMP and MPI.

The objective of this work was to investigate the possibilities of improving the DFTB application performance on large systems distributed-memory machines.

In today’s highly competitive retail market retailers need the most advanced and up to date software capabilities to achieve advantage over competitors and maximize profits.

The objective of the dCSE project was to develop an improved, more scalable version of CASTEP – a software package which uses density functional theory with a plane wave basis set to calculate electronic properties of solids from first principles.

We performed a broad investigation of the ADF Modeling Suite including assessing the performance of new functionality, locating and fixing bottlenecks and testing multiple approaches on three of the most widely used applications

NAG’s HPC team was chosen to perform the following work because of their experience in working with large HPC centers on specialist business focused projects. It was conducted within NAG’s involvement in the Performance Optimisation and Productivity Centre of Excellence.

NAG, as HPC experts, were asked to investigate the optimal system configuration for the CFD based application to achieve good performance on the chosen HPC cluster platform.

Many of the examples used in Subrata Ray’s latest book ‘Fortran 2018 with Parallel Programming’ are tested using the NAG Fortran Compiler.