There’s a story circulating that Amazon purchased more than 10,000 NVIDIA Kepler-based boards for its EC2 service.
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover NCSA’s newest 153-teraflop supercomputer; Dassault Systèmes latest SIMULIA Abaqus release; an optimistic forecast for technical software spending; NVIDIA’s fastest parallel processing Tesla GPU; the Fraunhofer Parallel File System upgrade.
AMD pitches FirePro V7800P against NVIDIA’s Tesla M2070Q.
GPU maker NVIDIA has ratcheted up the core count and clock speed on its Tesla GPU processor. The new M2090 module for servers delivers 665 double precision gigaflops, representing close to a 30 percent increase over the previous generation Tesla part. The memory bandwidth on the device was bumped up as well, from 150 GB/second to 178 GB/second. The new GPU boosts performance significantly across a number of HPC codes.
If there was a dominating theme at the Supercomputing Conference this year, it had to be GPU computing.
NVIDIA builds its case for GPU computing.
The NVIDIA GPU Technology Conference (GTC) kicked off on Tuesday amid a flurry of news that suggests the GPGPU HPC business is quickly moving into the mainstream. After just four years since the introduction of commercial-grade GPU computing, the technology has become firmly established and is poised to spill out across every application domain that has a need for data-parallel computing.
In May, Intel announced the Many Integrated Core (MIC) architecture, with a development kit codenamed Knights Ferry. NVIDIA has announced and started to deliver its next-generation architecture, Fermi. PGI’s Michael Wolfe presents an in-depth comparison of the two designs.
AMD today announced its next-generation FireStream GPU accelerator boards for HPC and other technical computing applications. The FireStream 9350 and 9370 represent the company’s attempt to match the pace NVIDIA has set with its “Fermi” Tesla-20 GPU offerings launched this spring.
University is awash in GPGPUs.