February 17, 2017
Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…
February 16, 2017
In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…
May 5, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover ISRO's newest supercomputer; Tokyo Tech's selection of EM Photonics' CULA library; Intel's 3-D transistor breakthrough; the latest LSF Tools from Platform Computing; and SciNet's new NextIO GPU-based system. Read more…
October 14, 2010
When the TSUBAME 2.0 supercomputer is formally inaugurated in December, it will officially be declared the fastest supercomputer in Japan. However, it’s not simply speed that separates this machine; boasting a raw performance of 2.4 petaflops, the new TSUBAME exceeds the total FLOPS capacity of all other government and academic supercomputers in Japan today. That kind of computational brawn will make it the platform of choice for some of the most powerful scientific applications on the planet. Read more…
Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.
From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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