Nvidia radi superračunalo za DARPA-u

Sry, ali moram malo potkuriti, ovo mi je baš super, kada se ovakve dvije tvrdnje nađu gotovo jedna ispod druge. NHF ;)

ontopic:

Sigurno je da Nvidia neće sama sastavljati superračunalo, ali zašto bi to uopće bio problem? Oni se već dugo guraju u profesionalnu sferu i imaju tu puno bolji rejting od ATi/AMD-a, a ovo je sam stavljanje naglaska na sve ono na čemu godinama rade. Iskreno, ne bi se čudio niti da su platili da im se ime može naći vezano za ovakav projekt. Na kraju će im to sigurno donijeti dodatno iskustvo, tako da se vraćamo na početak - gdje je problem i zašto za Nvidiju tu ne bi bilo mjesta?

Ja kao da objasnjavam zidu, nitko nista od njih ne GRADI I NECE GRADIT i to bar u naredne 4 godine jer postoji jos brdo prepreka koje prvo treba svladat da bi bili u stanju izvlacit takve performase koje se navode

ovi su samo dobili nazovimo to "stipendijom" u iznosu od 25 mil.

ako se pokaze mogucim i isplativim onda ce DARPA dat znak i pljunut pravu lovu jer 25 mil koliko su dobili sad je kikiriki

Bugovci su se ocito igrali gluhog telefona

uostalom evo vam pa procitajte pravo priopcenje a ne ovo pastasutu sta je zavrsila na BOL-u

SANTA CLARA, CA -- (Marketwire) -- 08/09/10 -- A team led by NVIDIA has been awarded a research grant of $25 million by the Defense Advanced Research Projects Agency (DARPA), the U.S. Defense Department's research and development arm, to address what the agency calls a "crisis in computing."

The four-year research contract, awarded under DARPA's Ubiquitous High Performance Computing (UHPC ) program, covers work to develop GPU technologies required to build the new class of exascale supercomputers which will be 1,000-times more powerful than today's fastest supercomputers.

The team -- which also includes Cray Inc., Oak Ridge National Laboratory and six top U.S. universities -- is being funded by DARPA to address the challenge that conventional computing architectures are reaching the practical limits of energy usage and will not meet the challenges of exascale computing. The research team plans to develop new software and hardware technology to dramatically increase computing performance, programmability and reliability.

"This recognizes NVIDIA's substantial investments in the field of parallel processing and highlights GPU Computing's position as one of the most promising paths to exascale computing," said Bill Dally, NVIDIA's chief scientist and senior vice president of research, and the team's principal investigator. "We look forward to collaborating to develop programmable, scalable systems that operate in tight power budgets and deliver increases in performances that are many orders of magnitude above today's systems."

"The DARPA UHPC program is attacking technical issues that are key to the future of high performance computing, from the embedded terascale to the exascale," said Steve Scott, Cray's senior vice president and CTO, and the Cray principal investigator on the team. "We are excited to be working with this team, and we believe the directions we are pursuing will lead to radical improvements to the state-of-the-art in the coming decade."

In addition to the NVIDIA-led team, DARPA awarded contracts to three other teams to study UHPC systems. Prototype systems are expected to be completed by 2018.

The names of those universities on the NVIDIA team will be available once details with them have been finalized. For more information on the DARPA UHPC program, please go here.

=>DESCRIPTION
The Ubiquitous High Performance Computing (UHPC) program will develop the architectures and technologies that will provide the underpinnings, framework, and approaches for the resolution of power consumption, cyber resiliency, and productivity problems. The UHPC program will develop computer systems, from embedded to cabinet level, that have extremely high energy efficiency and are dependable and easily programmable. These systems will have dramatically reduced power consumption while delivering a thousand-fold increase in processing capabilities. Dependability technologies developed under the UHPC program will provide adaptable and hardened cyber resilient computer systems. Productivity will be significantly improved by developing scalable, highly programmable computer systems that will not require significant system expertise for the development of high performance applications.

Nikada GPU nece moci konkuritati CPU po "svestranosti". GPU je striktno napravljen za grafiku i tu mu nema pramca. Medjutim, kada se treba radit nesto za sto GPU nije napravljen onda sve pada u vodu.

Mogu uzeti 100GHz CPU bez hardwareskog mnozitelja i pisati ga u softwareu i bil bum daleko sporiji nego sto bi to napravil chip od 5 USD. Tako je i sa GPUom.

DARPA finacira okolo i za malo novaca dolazi do ideja koje poslije iskoristavaju za vojnu primjenu. nVidia je zgodna jer ima iskustva sa paralelnom obradom i mogu za vrlo malo novca doci do ideja, koja mozda muci Cray u izradi super racunala za vojsku.