Nvidia said its new graphics chip -- Tesla M2090 - has achieved the fastest-ever performance in a key measure of scientific computation.

Nvidia claims its latest Tesla graphics chip as the world's fastest parallel processor for high performance computing.

Tesla M2090, which has 512 CUDA parallel processing cores, delivers 665 gigaflops of peak double-precision performance, enabling application acceleration by up to 10 times, compared to using a processing unit (CPU) alone, Nvidia said.

In the latest version of AMBER 11, one of the most widely used applications for simulating behaviors of biomolecules, four Tesla M2090 graphic chips coupled with four CPUs delivered record performance of 69 nanoseconds (ns) of simulation per day.

The fastest AMBER performance recorded on a CPU-only supercomputer is 46 ns/day.

This is the fastest result ever reported. With Tesla M2090 GPUs, AMBER users in university departments can obtain application performance that outstrips what is possible even with extensive supercomputer access, said Ross Walker, assistant research professor at the San Diego Computer Center, and principle contributor to the AMBER code.

The Tesla M2090 GPU will be available in servers such as the new HP ProLiant SL390 G7 4U server. As part of the SL6500 Scalable System of HP server solutions, optimized for scale-out and HPC market segments, the SL390 family was purpose built for hybrid computing environments that combine graphics processing units (GPUs) and CPUs.

The SL390 G7 4U server incorporates up to eight Tesla M2090 GPUs in a half-width 4U chassis and, with a configuration of eight GPUs to two CPUs, offers the highest GPU-to-CPU density on the market. The system is ideally suited for applications ranging from quantum chemistry and molecular dynamics to seismic processing and data analytics.

In addition to AMBER, the Tesla M2090 GPU is ideally suited to a wide range of GPU-accelerated HPC applications. These include molecular dynamics applications, NAMD and GROMACS, computer-aided engineering applications.