IBM supercomputer simulates 530 billion neurons and a whole lot of synapses

IBM Research, in collaboration with DARPA's Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program, has reached another brain simulation milestone. Powered by its new TrueNorth system on the world's second faster supercomputer, IBM was capable of crafting a 2.084 billion neurosynaptic cores and 100 trillion synapses -- all at a speed "only" 1,542 times slower than real life. The abstract explains that this isn't a biologically realistic simulation of the human brain, but rather mathematically abstracted -- and little more dour -- versions steered towards maximizing function and minimizing cost. DARPA's SyNAPSE project aims to tie together supercomputing, neuroscience and neurotech for a future cognitive computing architecture far beyond what's running behind your PC screen at the moment.

[Source: Engadget]

China's Tianhe-2 supercomputer could hit 100 petaflops in 2015, may have a race on its hands

China's supercomputer development is as much driven by national reputation as by military prowess and science; the country chose to build the Sunway BlueLight MPP with domestic chips knowing that it wouldn't get the absolute performance crown. It won't be quite so modest the next time around. China's National University of Defense Technology wants the Tianhe-2 supercomputer due in 2015 to crack an extremely high 100 petaflops, or five times faster than the record-setting Titan over in the US and a whopping 40 times faster than the Tianhe-1A. Before we hand the crown over, though, Top 500 supercomputer chart keeper Jack Dongarra notes to ITworld that China might have to sprint if it wants the symbolic title: the EU, Japan and US are all striving for the same benchmark, and they're not backing off anytime soon. The nation's trump card may have to be long-term plans for an exaflop-strength supercomputer by 2018, at which point we suspect the bragging will simmer down. For awhile.

[Source: Engadget]

Cray's Jaguar supercomputer upgraded with NVIDIA Tesla GPUs, renamed Titan

Cray's Jaguar (or XK7) supercomputer at Oak Ridge National Laboratory has been loaded up with the first shipping NVIDIA Telsa K20 GPUs and renamed Titan. Loaded with 18,688 of the Kepler-based K20s, Titan's peak performance is more than 20 petaflops. Sure, the machine has an equal number of 16-core AMD Opteron 6274 processors as it does GPUs, but the Tesla hardware packs 90 percent of the entire processing punch. Titan is roughly ten times faster and five times more energy efficient than it was before the name change, yet it fits into the same 200 cabinets as its predecessor. Now that it's complete, the rig will analyze data and create simulations for scientific projects ranging from topics including climate change to nuclear energy. The hardware behind Titan isn't meant to power your gaming sessions, but the NVIDIA says lessons learned from supercomputer GPU development trickle back down to consumer-grade cards. For the full lowdown on the beefed-up supercomputer, hit the jump for a pair of press releases.

[Source: Engadget]