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Google將在台大交大推廣雲端運算學術計畫
 

【CTIMES/SmartAuto 鍾榮峰 報導】   2008年01月31日 星期四

瀏覽人次:【5586】

Google將與台灣大學、交通大學等學校合作雲端運算學術計畫(Academic Cloud Computing Initiative),與其分享核心的網路軟體技術,並推廣使用類似叢集運算(cluster computing)模式的解決方案。

Google於1月29、30日在台灣大學舉辦Google雲端運算工作坊,工作坊的參與者可學習到Google發表的MapReduce以及GFS(Google File System)技術,並且檢視雲端運算計劃的教材,同時實際體驗Hadoop這套由Apache軟體基金會支持實作以上Google技術的開放原始碼軟體。

雲端運算(cloud computing)技術就是將資料拆成千百個部份,同時在多台分散於各處的伺服器處理資訊,這些伺服器就像天上朵朵的雲一般,資料分散儲存便能加快處理速度效能,而這項運算概念在日常生活各種網路服務中常常可見。

目前一般使用者常用的Google搜尋引擎可在1秒鐘內搜尋出成千上萬個網頁,便是運用此項技術,Yahoo!、Amazon、Microsoft也都採用這項技術。Google其他線上服務如Google Docs、Google Talk、iGoogle、Google Calendar都應用到相關技術。

Google目前已經在美國免費推廣雲端運算技術,包括在美國麻省理工學院、史丹佛、柏克萊加大、卡內基美隆、馬里蘭和西雅圖華盛頓大學等地。Google在美國以外推廣的第一站就是台灣,有助在台灣開發更多具創意的網路服務。Google台灣工程師將會於96學年度下學期(今年2月起至6月)到台灣大學和交通大學的資訊工程學系演講,還會到校作進行雲端運算專題的學生的小師父。

目前Google已計畫和台大劉邦鋒教授開設的平行運算(Parallel Programming),以及交大教授彭文志和黃俊龍的Web Services and Application課程進行相關合作。

關鍵字: cluster computing  Google(谷歌IBM  分散式儲存系統  網際軟體發展工具  資料庫 
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China unseats U.S. in supercomputer ranking

The Jaguar has fallen from the top of the food chain.

When the Top 500 list of the world's most powerful supercomputers is released today, the Cray XT5 system at Oak Ridge National Laboratory and run by the University of Tennessee, called "Jaguar," will drop to No. 2 after a year of eating the lunch of every other supercomputer in the world. In its place will stand Tianhe-1A, a system built by China's National University of Defense Technology, located at the National Supercomputing Center in Tianjin.

Tianhe-1A achieved a performance level of 2.67 petaflop/s (quadrillions of calculations per second). Jaguar achieved 1.75 petaflop/s. Third place went to another Chinese-built system, called Nebulae, which achieved 1.27 petaflop/s.

And while the news of China's achievement is not exactly a surprise, the supercomputing community in the U.S. is looking at it two ways: as both as an assurance that U.S. software and components are still elite in their field, and a wake-up call that the country's prestige in high-performance computing is not a given.

"This is what everybody expected. What the Chinese have done is they're exploiting the power of GPUs (graphic processing unit) which are...awfully close to being uniquely suited to this particular benchmark," said Bill Gropp, computer science professor at the University of Illinois Urbana-Champagne, and co-principal investigator of the Blue Waters project, another supercomputer in the works.

The benchmark he's speaking of is the Linpack, which tests the performance of a system for solving a dense system of linear equations. It's measured in calculations or floating point operations per second, hence flop/s. Not everyone in this field agrees it's the best possible way to compare machines, but it is one way.

By using GPUs to accelerate the performance of the Tianhe-1A, the machine can achieve more floating point operations per second.

"The way most of us look at the Chinese machine, is it's very good at this particular problem (the Linpack benchmark), but not problems the user community is interested in," said Gropp.

For those worried that this is a blow to the United States' leadership in supercomputing, it's actually not a huge cause for alarm if you consider the provenance of the pieces of the Chinese system. Tianhe-1A is a Linux computer built from components from Intel and Nvidia, points out Charlie Zender, professor of Earth Systems Science at the University of California at Irvine.

A timeline of supercomputing speed. (Click to enlarge.)

A timeline of supercomputing speed. (Click to enlarge.)

(Credit: AMD)

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For more statistics on the systems in the Top500 list, please see Top500.org.

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