Maailm

Hiinas on valmimisel maailma kiireim arvuti

Toimetas René Piik, 20. juuni 2016, 13:27

3 KOMMENTAARI

a
ab/ 21. juuni 2016, 11:00
kust nad küll niipalju pisikesi hiinlasi leidsid, kes sinna karpi ära mahuvad?
s
Siin veel linke ka quanti kohta.. / 21. juuni 2016, 06:33
D-Wave Two, Vesuvius
http://www.dwavesys.com/press-releases/d-wave-systems-breaks-1000-qubit-quantum-computing-barrier
http://nextbigfuture.com/2015/12/google-finds-dwave-quantum-annealer-is.html (Quantum annealer is 100 million times faster)
http://nextbigfuture.com/2015/08/potentially-big-deal-of-dwave-2x-1000.html ( 1000-2048 qubit )
Extra:
http://www.makeuseof.com/tag/optical-quantum-computers-work/
https://users.cs.duke.edu/~ahsan/SQrIpT/Paper.pdf ( A Designing a Million-Qubit Quantum Computer Using Resource Performance Simulator )
http://dl.acm.org/citation.cfm?id=2830570
http://nextbigfuture.com/2013/12/1-million-qubit-quantum-computers-by.html
Extra 2:
http://www.zdnet.com/article/quantum-computing-gets-10-billion-qubits-closer/
http://futurism.com/new-quantum-processor-brings-quantum-computing-closer-reality/
http://www.nextplatform.com/2015/07/22/google-sees-long-expensive-road-ahead-for-quantum-computing/
https://www.technologyreview.com/s/531606/microsofts-quantum-mechanics/
https://mind-computer.com/2012/05/13/nsa-building-a-2-billion-quantum-computer-artificial-intelligence-spy-center/
Kuid tuleb jah.. arvestada, mis juhtub, kui selliste systeemidega ühedada:
https://mind-computer.com/2016/05/18/a-new-darpa-program-will-explore-using-peripheral-nerve-stimulation-to-enhance-learning-processes-in-the-brain/
.:.
- Margus Waffa Meigo -
t
Tegelikult sedasi, et uudis on suts ajast maas... hiinlastel juba kiirem olemas, kuid see on värreldamatult nõrk võrreldes../ 21. juuni 2016, 06:30
Praegused listid siis:
http://www.top500.org/lists/2016/06/
https://en.wikipedia.org/wiki/TOP500
1# Sunway TaihuLight, NRCPC, China 93.015 to 125.436 PFLOPS ( http://www.top500.org/system/178764)
2# Tianhe-2, NUDT, China 33.863 to 54.902 PFLOPS
3# Titan, Cray XK7, Cray Inc. USA 17.590 to 27.113 PFLOPS
4# Sequoia, Blue Gene/Q, IBM, USA 17.173 to 20.133 PFLOPS
5# K computer, RIKEN, Fujitsu, Japan 10.510 to 11.280 PFLOPS
6# Mira, Blue Gene/Q, IBM, USA; 8.586 to 10.066 PFLOPS
7# Trinity, Cray XC40, Cray Inc., USA 8.101 to 11.079 PFLOPS
8# Piz Daint, Cray XC30, Cray Inc., Switzerland 6.271 to 7.789 PFLOPS
9# Hazel Hen, Cray XC40, Cray Inc., Germany 5.640 to 7.404 PFLOPS
10# Shaheen II, Cray XC40, Cray Inc., Saudi Arabia 5.537 to 7.235 PFLOPS
https://en.wikipedia.org/wiki/Graph500
#1 K computer, Fujitsu - Japan. - 17977 GTEPS
#2 IBM Sequoia, BlueGene USA - 16599 GTEPS
#3 IBM Mira, BlueGene, USA - 14328 GTEPS
#4 JUQUEEN, BlueGene, German 5848 GTEPS
#5 Fermi, Blue Gene, Italy, 2567 GTEPS
#6 Tianhe-2 (NUDT custom China) - 2061 - GTEPS
#7 IBM BlueGenes: Turning, Blue Joule, DIRAC (Scotland), Zumbrota , Avoca ( Victoria, Australia) - 1427 GTEPS
Kuid võrreldes quant masinatega..

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