Supercomputer

A supercomputer is a computer that led the world (or was close to doing so) in terms of processing capacity, particularly speed of calculation, at the time of its introduction. The term “Super Computing” was first used by New York World newspaper in 1929[1] to refer to large custom-built tabulators IBM made for Columbia University.

The Top500 list

Since 1993, the fastest supercomputers have been ranked on the Top500 list according to their LINPACK benchmark results. The list does not claim to be unbiased or definitive, but it is the best current definition of the “fastest” supercomputer available at any given time.

To provide this new statistical foundation, we have decided in 1993 to assemble and maintain a list of the 500 most powerful computer systems. Our list has been compiled twice a year since June 1993 with the help of high-performance computer experts, computational scientists, manufacturers, and the Internet community in general who responded to a questionnaire we sent out; we thank all the contributors for their cooperation. We have also used parts of statistical lists published by others for different purposes. from http://www.top500.org

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I like supercomputer to do many jobs. I think to join the supercomputer project in the future. This give the more advantage to human develop their research study. But we not reach human brain speed. If i have intelligent machine in the world can i produce one robot which can think to solve human problem? Think about it…

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Common uses

Supercomputers are used for highly calculation-intensive tasks such as problems involving quantum mechanical physics, weather forecasting, climate research (including research into global warming), molecular modeling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals), physical simulations (such as simulation of airplanes in wind tunnels, simulation of the detonation of nuclear weapons, and research into nuclear fusion), cryptanalysis, and the like. Major universities, military agencies and scientific research laboratories are heavy users.

A particular class of problems, known as Grand Challenge problems, are problems whose full solution requires semi-infinite computing resources.

Relevant here is the distinction between capability computing and capacity computing, as defined by Graham et al. Capability computing is typically thought of as using the maximum computing power to solve a large problem in the shortest amount of time. Oftentimes a capability system is able to solve a problem of a size or complexity that no other computer can. Capacity computing in contrast is typically thought of as using efficient cost-effective computing power to solve somewhat large problems or many small problems or to prepare for a run on a capability system.

Supercomputer and virus infection

The Storm Worm Botnet currently infects between one and ten million computers worldwide, which means that it has access to a huge amount of processing power and somewhere between 1 and 10 petabytes of RAM. This apparently makes it one of the most powerful computers in the world, with more computing power than the ten fastest supercomputers in the world combined.

These interesting but admittedly vague and flaky estimates come from computer scientist Peter Gutman. Although you can pick at the numbers quite easily, the guy makes a very interesting point. While projects like Seti@Home can harness a lot of computing power, a virus or worm that doesn’t need to ask permission from a user could conceivably be vastly more powerful. Imagine the potential if virus writers found more interesting things to do with those cycles than send spam.

Will the first person to find extraterrestrial signals be an amateur hacker, rather than Seti? Could complex protein folding solutions be found by bored crackers? And would the benevolent act of finding a cure for a genetic illness outweigh the malevolent act of creating the worm that rounded up the processing cycles needed to do it?

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