The eighth-ranked Blue Gene/Q Vulcan system at Lawrence Livermore National Lab has opened its doors for business–at least to companies reliant on advanced modeling and simulation. The 5-petaflop super has already been used in a number of incubator projects but now that they are extending the focus of….
Chalk up another win for Sequoia and high-performance computing. The IBM Blue Gene breaks two more records.
LLNL researchers have successfully harnessed all 1,572,864 of Sequoia’s cores for one impressive simulation.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Stanford_jet_noise_simulation_150x.jpg” alt=”” width=”95″ height=”54″ />The 20 petaflop, third-generation IBM BlueGene system, Sequoia, may be the number two supercomputer according to the latest TOP500 rankings, but when it comes to max core usage, Sequoia has apparently set a new record. A team of Stanford engineers harnessed one million of Sequoia’s nearly 1.6 CPUs in parallel to solve a sophisticated fluid dynamics problem.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/doe-logo-small.png” alt=”” width=”96″ height=”96″ />The national labs at Oak Ridge, Argonne and Lawrence Livermore are banding together for their next refresh of supercomputers. In late 2016 or early 2017, all three Department of Energy (DOE) centers are looking to deploy their first 100-plus petaflop systems, which will serve as precursors to their exascale machine further down the line. The labs will issue a request for proposal (RFP) later this year with the goal of awarding the work to two prime subcontractors.
Lawrence Livermore machine sets new record for sustained application performance.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Cardioid_code_image_LLNL_IBM_180x.jpg” alt=”” width=”92″ height=”90″ />The world’s fastest computer has created the fastest computer simulation of the human heart. The Lawrence Livermore National Laboratory’s Sequoia supercomputer, a TOP500 chart topper, was built to handle top secret nuclear weapons simulations, but before it goes behind the classified curtain, it is generating sophisticated cardiac simulations.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Vulcan_Blue_Gene_Q_small.jpg” alt=”” width=”126″ height=”70″ />One by one, US government HPC labs are getting into the industry partnership business. The latest is Lawrence Livermore National Laboratory (LLNL), who this week announced it was teaming with IBM to form “Deep Computing Solutions,” a collaboration that is being folded into LLNL’s new High Performance Computing Innovation Center,
NetApp flexed its newly acquired supercomputing muscles this week when it announced it would be supplying one of the largest Lustre storage system in the world for the Sequoia supercomputer to be installed at Lawrence Livermore National Laboratory next year. NetApp’s E-Series storage, which they inherited when the company purchased LSI’s Engenio business, will be used to provide 55 petabytes of disk arrays for the 20-petaflop Sequoia machine.
Johns Hopkins University researchers are developing a specialized machine for uncovering hidden patterns in data; and Appro HyperPower Cluster will support data analysis at Lawrence Livermore National Laboratory. We recap those stories and more in our weekly wrapup.