Accelerator Use Surges in World's Top Supercomputers - Seite 2

Hundreds of HPC Applications Support GPU Accelerators
The Tesla Platform has grown steadily since 2008 in the number of supported scientific, engineering, data analytics and other applications, with 370 GPU-accelerated applications now available.

A new study by Intersect360 Research, a tech research firm, shows that nearly 70 percent of the 50 most widely used HPC applications -- and 90 percent of the top 10 -- support GPU accelerated computing. Among them are the ANSYS Fluent computational fluid dynamics application; the GROMACS molecular dynamics application; and now -- as announced separately today -- VASP, an atomistic simulation application used by researchers around the world to model the behavior of individual atoms at the electronic level.

One of the study's authors, Addison Snell, CEO of Intersect360 Research, said: "Accelerated computing has reached the tipping point in HPC, with NVIDIA's Tesla GPUs as the leader in the market. The adoption of accelerators and availability of GPU-accelerated versions of top HPC codes have been steadily increasing."

Improved Datacenter Throughput with GPUs
Supercomputing and hyperscale datacenters can cost hundreds of millions of dollars. In the past, the steady progression of Moore's Law allowed them to upgrade with new CPUs to keep up with ever-increasing demand. That's no longer possible. With the advent of GPU-accelerated computing, these large datacenter investments can be extended with the addition of NVIDIA Tesla accelerators which boost throughput required to meet these demands. 

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Since 1993, NVIDIA (NASDAQ: NVDA) has pioneered the art and science of visual computing. The company's technologies are transforming a world of displays into a world of interactive discovery -- for everyone from gamers to scientists, and consumers to enterprise customers. More information at http://nvidianews.nvidia.com/ and http://blogs.nvidia.com/.

Certain statements in this press release including, but not limited to, statements as to: the effect of accelerated systems, Moore's Law and investments in accelerators; all supercomputers being accelerated one day; the increasing trend of GPU-accelerated computing; computational demands continuing to increase; and the adoption of accelerators and availability of GPU-accelerated HPC codes increasing are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended July 26, 2015. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.