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Google将在台大交大推广云端运算学术计划
 

【CTIMES / SMARTAUTO ABC_1 报导】    2008年01月31日 星期四

浏览人次:【5585】

Google将与台湾大学、交通大学等学校合作云端运算学术计划(Academic Cloud Computing Initiative),与其分享核心的网络软件技术,并推广使用类似丛集运算(cluster computing)模式的解决方案。

Google于1月29、30日在台湾大学举办Google云端运算工作坊,工作坊的参与者可学习到Google发表的MapReduce以及GFS(Google File System)技术,并且检视云端运算计划的教材,同时实际体验Hadoop这套由Apache软件基金会支持实作以上Google技术的开放原始码软件。

云端运算(cloud computing)技术就是将数据拆成千百个部份,同时在多台分散于各处的服务器处理信息,这些服务器就像天上朵朵的云一般,数据分散储存便能加快处理速度效能,而这项运算概念在日常生活各种网络服务中常常可见。

目前一般用户常用的Google搜索引擎可在1秒钟内搜寻出成千上万个网页,便是运用此项技术,Yahoo!、Amazon、Microsoft也都采用这项技术。Google其他在线服务如Google Docs、Google Talk、iGoogle、Google Calendar都应用到相关技术。

Google目前已经在美国免费推广云端运算技术,包括在美国麻省理工学院、史丹佛、柏克莱加大、卡内基美隆、马里兰和西雅图华盛顿大学等地。Google在美国以外推广的第一站就是台湾,有助在台湾开发更多具创意的网络服务。Google台湾工程师将会于96学年度下学期(今年2月起至6月)到台湾大学和交通大学的信息工程学系演讲,还会到校作进行云端运算专题的学生的小师父。

目前Google已计划和台大刘邦锋教授开设的平行运算(Parallel Programming),以及交大教授彭文志和黄俊龙的Web Services and Application课程进行相关合作。

關鍵字: cluster computing  Google  IBM  分布式储存系统  網際軟體發展工具  资料库 
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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.

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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)

"So we find ourselves admiring an achievement that certainly couldn't have been done without the know-how of Silicon Valley...and an operating system designed mostly by the United States and Europe," Zender said. "It's a time for reflection that we are now at a stage where a country that's motivated and has the resources can take off-the-shelf components and assemble the world's fastest supercomputer."

Supercomputers will likely get faster every year, points out Jeremy Smith, director of the Center for Molecular Biophysics at the University of Tennessee, so China's rise to the top this month isn't the end of the story. The list will likely be reordered again in June, when the next edition of the Top500 is released.

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And of course these high-performance computer systems aren't just made to race each other, most scientists in the field would argue. They're made to solve complex problems, with eventual real-world consequences like climate change and alternative fuel production.

Smith argues that research like what's being done on Jaguar to solve the problem of superconductivity at high temperatures couldn't necessarily be done on Tianhe-1A effectively because it requires very efficient computing and coming up with the software on a computer to do that well is difficult.

But what China has accomplished is still important for supercomputing, argues Gropp, who called the number of flop/s Tianhe-1A achieved "remarkable."

"I don't want to downplay what they've done," he said. "It's like pooh-poohing the original Toyota. The first Toyota was a pile of junk. But a few years later they were eating our lunch."

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But it's not as if the supercomputing community in the U.S has been sitting still while China sneaked up behind them. There are other projects in the works at U.S. labs that are planning on blowing Jaguar and Tianhe-1A out of the water in terms of speed.

Currently the University of Illinois Urbana-Champagne and the National Science Foundation is building Blue Waters, a supercomputer that researchers say will be the fastest in the world when it is turned on sometime next year.

The Department of Energy, which owns Oak Ridge's Jaguar supercomputer, is already looking at moving from the current peta-scale computing (a quadrillion floating point operations per second) to exa-scale computing (a quintillion floating point operations per second), a speed a thousand times faster than Jaguar is currently capable of processing at. It's a goal that's still a ways out there, but the work is under way.

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

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