<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/top-500_small.PNG” alt=”” width=”99″ height=”66″ />In the battle of the DOE labs, Oak Ridge Lab’s Titan supercomputer has taken the title from the former TOP500 champ, Lawrence Livermore’s Sequoia. The GPU-charged Titan, using the new NVIDIA K20X-equipped XK7 blades from Cray, delivered 17.6 petaflops to Sequoia’s 16.3 petaflops on Linpack, the sole metric for TOP500 rankings.
DOE lab is taking applications from researchers who want time on 8-petaflop super.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Hans_Meuer.jpg” alt=”” width=”85″ height=”85″ />With the upcoming release of the TOP500 next week, the latest rankings are usually a hot topic of discussion this time of year. Over the past 20 years, the list has proven to be a useful and popular compilation of supercomputers for the HPC community. In this exclusive interview, Professor Hans Meuer, considered by many to be the driving force behind the project, offers his thoughts on the TOP500; its past, present, and future.
Newest Intel Xeon chip proves its worth for artithmetic-heavy codes.
Just three and half years after IBM broke the petaflop barrier with its Roadrunner supercomputer, Fujitsu’s “K Computer” has passed the 10 petaflops mark. Fujitsu and RIKEN announced on Tuesday that they have completed the final build-out of the system and achieved 10.51 petaflops on Linpack, reaching a major milestone of Japan’s Next-Generation Supercomputing Project.
Tablet delivers 1990s-era TOP500 performance.
Data-intensive applications are quickly emerging as a significant new class of HPC workloads. For this class of applications, a new kind of supercomputer, and a different way to assess them, will be required. That is the impetus behind the Graph 500, a set of benchmarks that aim to measure the suitability of systems for data-intensive analytics applications.
Given the recent ascent of the GPU-powered Tianhe-1A system to the top of the supercomputing heap, a current paper from Department of Computer Science at the University of Warwick should be of particular interest to those in the market for a petascale supercomputer. Essentially their study asks the question: As an organization, should I commit to a platform based on general-purpose GPUs or an IBM Blue Gene?
Tianhe-1A sets Linpack mark of 2.5 petaflops.
Grape-DR machine delivers 815 megaflops per watt.