Sun’s New Super Computer Equals 1/20 of Human Brain; Spare Brain by 2020 Sun的新超級電腦,等於1 / 20人腦;備件腦,到2020年
Sun Microsystems announced today that its hardware will power the largest supercomputer ever built, with 62,976 CPU cores, 125 terabytes of memory, 1.7 petabytes of disk space, and 504 teraflops of performance. Sun Microsystems公司今天宣布,它的硬件將權力最大的超級計算機都建成,與62976 CPU內核, 125千兆字節的內存, 1.7 PB的磁盤空間,和504萬億次的性能。
Ranger will be hosted at the Texas Advanced Computing Center at the University of Texas, Austin.浪人將設在德州先進計算機中心在德克薩斯大學奧斯汀。 It is due to go online on January 1, 2008.這是由於去網上對2008年1月1日。 Ranger costs $30 million in hardware alone, and an additional $29 million for staffing and maintenance.浪人成本3000萬美元,僅在硬件,並會增設二千九百點○萬美元為工作人員和維修。 It is funded by a grant from the National Science Foundation.這是資助撥款由美國國家科學基金會。 link鏈接
Update:更新:
The first supercomputer capable of crunching through a thousand trillion mathematical operations every second has been announced by IBM.第一的超級計算機能夠通過業績1000萬億的數學運算,每一秒鐘已經宣布由IBM 。 This is roughly equivalent to the combined processing power of a 2.4-kilometre-high pile of laptop computers.這是大約相等於合併後的處理能力為2.4公里的高樁的筆記本電腦。
Blue Gene/P will be capable of a peak performance of 3000 trillion calculations, or floating point operations, per second (3 petaflops).藍色基因/ p只會有能力的高峰期的表現3000000000000000計算,或浮點運算,每秒( 3 petaflops ) 。 But its sustained performance is expected to level out at around 1 petaflop.但其持續的表現,預計水平,在約1 petaflop 。
The IBM machine’s capacity shifts the date earlier for a single, huge and very expensive, machine able to fully simulate the human brain to ~2012……software notwithstanding, of course. IBM的機器的能力,輪班的日期較早,為一個單一的,巨大的和非常昂貴,機器能完全模擬人腦〜 2012年… …軟件儘管如此,當然。
Human Brain capacity 人腦的能力
A human brain capacity is approximately 10,000 TeraFlops = 10 Petaflop = number of neurons X average number of connections between neurons X neuron firing capacity per second). 1人腦容量大約是10000萬億次浮點= 10 petaflop =神經元數X平均數目之間的聯繫,神經元的神經元x射擊能力每秒) 。 Ranger will be 1/20 of that capacity.浪人將1 / 20的能力。
How much is 1 petabyte exactly? 有多少是一PB的正是?
To give you an overview of the numbers involved:給你一概述涉及的人數:
1000 - kilo 1000年-基洛
1000000 - mega 1000000 -大型
1000000000 - giga 1000000000 -千兆
1000000000000 - tera萬億-萬億
1000000000000000 - peta 1000000000000000 -塔
Validity of Moore’s Law in 10 years 有效性穆爾定律在10年內
It is apparent that Moore’s law will hold good for at least another 10 years thanks to two promising technology and materials hafnium and graphene.很明顯,摩爾定律將舉行為好,至少再過10年感謝兩個有前途的技術和材料,石墨和鉿。
Speaking of a reinvigorated Moore’s Law, Intel’s regional vice president for sales and marketing, John Antone said in Bangkok that Intel’s latest 45-nanometer transistor had a gate that used a new element called hafnium that significantly improved the electrical characteristics by cutting down leakage current.談到重振摩爾定律,英特爾的區域副總裁,銷售和市場營銷,約翰安邦說,在曼谷表示,英特爾最新的45納米晶體管有一個門所用的一個新內容,所謂的鉿 ,顯著改善了電氣特性由降低漏電流。
“So in these 45 nanometer transistors we actually deposited hafnium…It’s more like a metal, so the switching capabilities are significantly better than the capacitance associated with silicon dioxide.” “因此,在這些45納米晶體管,我們其實交存鉿… …它更象一個金屬的,因此開關的能力顯著優於電容與二氧化矽” 。
Antone said that Gordon Moore himself had called this “the biggest breakthrough in processor technology in 40 years”.安邦說,戈登摩爾自己所謂的這個“最大的突破,在處理器技術,在40年” 。
“We’ve demonstrated the 45 nanometer, which will begin production in the second half of this year, we’ve talked about and shown pictures of 35 nanometers. “我們已經表明, 45納米,這將開始生產,在今年下半年,我們已經談到,並顯示圖片35毫微米。 I believe the we’ve put a road map out for 10 years that goes down below 10 nanometers,” he said.我相信我們已提出一個路線圖,為10年來下降低於10納米的, “他說。 link鏈接
There is another very exciting nano-technology material, graphen e, which is strictly two dimensional crystals something like unrolled carbon nanotubes.還有另外一個令人振奮的納米技術材料, graphen英,這是嚴格的二維晶體的東西一樣, unrolled碳納米管。 Graphene can act as good transistors at 10 nanometers where silica currently has problems below 15 nanometers.石墨可作為良好的晶體管在10納米二氧化矽的地方目前有問題的15歲以下毫微米。 link鏈接
When can computers equal human brain? 什麼時候可以平等電腦人腦呢?
So, with doubling of processor capacity every 18 months in 7 or 8 years, by around 2015, individual supercomputers will have the calculating capacity of a human brain.因此,增加一倍的處理器的能力每18個月在7月或8年,由2015年左右,個別的超級計算機將有計算的能力,一人腦。
5 years later or so – 2020 - we will be spending $1,000 on a second brain, so we’ll have two heads, which are supposed to be better than one五年後,或使-2 020年-我們會動用10 00元就第二次腦,因此我們將有兩國元首,這是為了更好地超過1 ![]()
Pleo for now 華晶現在
For right now, we’ll just have to settle for the $350右現在,我們將只是解決為350元 Pleo華晶 from the inventor of the Furby.從發明的菲比。
Original Author: Joel B原作者:約珥b
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June 28th, 2007 at 8:39 pm 2007年6月28日在下午8時39分
Interesting article.有趣的文章。 However you are making a huge mistake here, comparing pears to apples, and as a result brain processing capacity has been severely underestimated.但是,您作出了巨大的錯誤在這裡,比較,以梨,蘋果,由於腦的加工能力已被嚴重低估。 Instead of just counting “firing” events (aka “action potentials”) in the brain as flops, as you do, you should consider how much processing it takes to compute each one of these events and multiply that by the number you got.而不是只計數“射擊”事件(又名“動作電位” )在大腦中作為失敗,正如你這樣做,你應該考慮有多少處理需計算的每一個這些事件和乘以人數,通過你明白。 An thats actually quite a lot. 1 ,其實這就是不少。 It’s humungus.它的humungus 。 In fact, your yr 2020 workstation won’t even approach a single neuron.事實上,在您的里亞爾,到2020年將工作站的做法,甚至沒有一個單一的神經元。 The “transistors” of the brain are not neurons, but ion channels, receptors, g proteins, molecular motors, proteins in the synaptic complex etc.. “晶體管”腦的神經元不會,但離子通道,受體, G蛋白,分子馬達,蛋白質在突觸複雜等。 and there are quite a lot of those within a neuron.也有不少,這些在一個神經元。
December 20th, 2007 at 8:15 pm 2007年12月20日在下午8時15分
Interesting.有趣的。 Does the supercomputer use cell processors?是否使用超級計算機的Cell處理器? If you just used 500 ps3s, then you could achieve 500 teraflops with only about 250 thousand dollars… seems like a cheaper alternative.如果你只是使用500 ps3s ,那麼你就可以達到500萬億次,大約只有25.0萬美元…似乎像一個較廉價的選擇。