"todays 1 gflop/watt" ? The K20X delivers 1.4 Tflop nearly. If i google it's 235 watt TDP.
1.4 Tflop / 235 = 6 gflops/watt On Dec 17, 2012, at 2:21 PM, Eugen Leitl wrote: > > http://www.networkworld.com/community/blog/darpa-awards-20m-nvidia- > stretch-achilles-heel-advanced-computing-power > > > DARPA awards $20M to Nvidia to stretch "Achilles Heel" of advanced > computing: > Power > > Processor-maker Nvidia will get chance to boost power chip output > from 1 > GFLOPS/watt to 75 GFLOPS/watt > > By Layer 8 on Fri, 12/14/12 - 2:43pm. > > > DARPA Nvidia said this week it got a contract worth up to $20 > million from > the Defense Advanced Research Projects Agency (DARPA) to develop > chips for > sensor systems that could bolster power output from today's 1 > GFLOPS/watt to > 75 GFLOPS/watt. > > The five-year award was made under DARPA's Power Efficiency > Revolution For > Embedded Computing Technologies or PERFECT program which aims to > produce a > revolutionary approach to processing power efficiency which has > become the > Achilles Heel of increased computational capability. > > NEWS: The weirdest, wackiest and coolest sci/tech stories of 2012 > >> From DARPA: This approach includes near threshold voltage >> operation, massive > heterogeneous processing concurrency, and novel architectural > developments > combined with techniques to effectively utilize the resulting > concurrency and > tolerate the resulting increased rate of soft errors. The PERFECT > program > will leverage anticipated industry fabrication geometry advances to > 7 nm. > Research and development will specifically address embedded systems > processing power efficiencies and performance, and are not > concerned with > developments that focus on exascale processing issues. No operational > hardware is to be built in this program, instead a simulation > capability will > be developed that will measure and demonstrate progress." > > In the past, computing systems could rely on increasing computing > performance > with each processor generation. Following Moore's Law, each > generation > brought with it double the number of transistors. And according to > Dennard's > Scaling, clock speed could increase 40% each generation without > increasing > power density. This allowed increased performance without the > penalty of > increased power, DARPA stated. > > DARPA said PERFECT system development will address five areas > including: > > Architecture: to address hardware and software power efficiency > innovation and development. Example areas anticipated for > development include > near threshold voltage operation, heterogeneous massive concurrent > architectural approaches, and novel hardware architectural > approaches such as > new memory hierarchies, application-specialized cores, and data > movement > minimizing techniques. At the software level, the goal is to develop > technologies and techniques that tolerate and exploit new hardware > capabilities and overcome the associated limitations. This > specifically will > include addressing concurrency and reliability. > > Concurrency : This element will address the hardware and > software to > support high levels of concurrency - thousands to millions of > concurrent > execution streams. Hardware efforts in this area may include > processing cores > and data stores of varying capabilities and efficiencies and > perhaps include > automatically synthesized processing elements that are optimized > for the > embedded platform's workload. Software efforts in this area may > include > language development or augmentation, compilers, and support > software to > specify and manage concurrent threads. > > Resiliency: Will focus on the issue of soft errors. Such errors > are > expected to increase for near threshold voltage operation. > > Locality: Will focus on minimizing run-time data communication by > managing data location and availability. In particular, the memory > hierarchy > and the software to manage data are included. Languages and language > annotations that enable programmer control of data allocation as > well as > automatic control of data allocation will be investigated. > > Algorithms: Software techniques to minimize energy consumption. In > addition, algorithmic approaches to enable the tolerance of > hardware faults > will be investigated, at both the kernel and the system levels. > > Nvidia calls it program Project Osprey, and the company says it > will research > low-power circuits and extremely efficient architectures and > programming > systems that enable 75 gigaflops per watt, using process > technologies as > advanced as 7 nanometer (nm) compared with today's 28-nm process. > > Project Osprey will utilize the company's heterogeneous computing and > parallel processing technology, which enable more efficient > processing than > traditional CPUs, the firm says. Nvidia said its processors are > used in a > wide variety of embedded applications, including automobiles made > by Audi, > BMW, Tesla and Lamborghini, aircraft including the F-22 Raptor, and > US Army > tanks. > > > _______________________________________________ > Beowulf mailing list, Beowulf@beowulf.org sponsored by Penguin > Computing > To change your subscription (digest mode or unsubscribe) visit > http://www.beowulf.org/mailman/listinfo/beowulf _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org sponsored by Penguin Computing To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
