July 19, 2012
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At the cutting edge of HPC, bigger has always been seen as better and user demand has been the justification. However, as we now grapple with trans-petaflop machines and strive for exaflop ones, is evidence emerging that contradicts these notions? Might computers be getting too big to effectively serve up those FLOPS?
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In a report published this week, researchers documented that GPU-equipped supercomputers enabled application speedups between 1.4x and 6.1x across a range of well-known science codes. While those results aren't the order of magnitude performance increases that were being bandied about in the early days of GPU computing, the researchers were encouraged that the technology is producing consistently good results with some of the most popular HPC science applications in the world.
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Intel Corporation has acquired Whamcloud, a startup devoted to supporting the open source Lustre parallel file system and its user community. The deal marks the latest in a line of high performance computing acquisitions that Intel has made over the past few years to expand its HPC footprint.
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Jul 18, 2012 |
Blue Gene/Q super gives researchers better picture of drug-virus interaction.
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Jul 17, 2012 |
Co-creator of Gordon supercomputer suffers fatal heart attack.
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Jul 16, 2012 |
EUV lithography, the technology chipmakers are counting on to keep Moore's Law alive, is behind schedule.
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Jul 12, 2012 |
State says supercomputing center can’t pay bills to keep machine running.
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Jul 11, 2012 |
Computer scientist builds intelligent machine with single-core laptop and some slick algorithms.
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06/25/2012 | NetApp | A single hour of data collection can result in 7+ million files from just one camera. Collection opportunities are limited and must be successful every time. As defense and intelligence agencies seek to use the data collected to make mission-critical battlefield decisions, there’s greater emphasis on smart data and imagery collection, capture, storage and analysis to drive real-time intelligence. The data gathered must accurately and systematically be analyzed, integrated and disseminated to those who need it – troops on the ground. This reality leads to an inevitable challenge – warfighters swimming in sensors, drowning in data. With the millions, if not billions, of sensors providing all-seeing reports of the combat environment, managing the overload demands a file system and storage infrastructure that scales and performs while protecting the data collected. Part II of our whitepaper series highlights NetApp’s scalable, modular, and flexible storage solution to handle the demanding requirements of sophisticated ISR environments.
Join Michael for a look at the first PGI Accelerator Fortran and C compilers to include comprehensive support for OpenACC, the new open standard for programming accelerators using compiler directives.