IBM Roadrunner


IBM Roadrunner :

Roadrunner is the fastest supercomputer in the world. IBM developed Roadrunner for the Los Alamos National Laboratory in New Mexico. The system cost $100 million to develop. When Roadrunner debuted in June 2008, it was the first computer to break what has been called the petaflop barrier-- the ability to operate at a rate of a thousand trillion floating point operations per second (FLOPS). In testing, Roadrunner demonstrated 1.026 quadrillion calculations per second, as recorded by the Linpack measurement system. To illustrate its speed in everyday terms, IBM said that it would take 100,000 high-performance laptop computers to equal Roadrunner's processing power. In another comparison, the company said it would take the entire six billion people on the planet, working on hand-held computers (24 hours a day, seven days a week) 46 years to equal what Roadrunner can do in a single day. Roadrunner's primary application will be work involving nuclear weapons, such as simulation of a nuclear attack. However, its level of processing power makes the supercomputer ideal for simulating complex interactions in many industries. Other potential applications include measurement of nuclear decay, studying complex weather patterns and developing capital market projections or astronomical calculations. Nanotechnologists and biochemists could explore intricate protein folding simulations or molecular interactions to design new drugs or cellular machines. Movie makers and information scientists could create previously unexplored levels of 3Drendering, both for entertainment and potential real-time modeling of cancer, surgical or other biomedical applications. Oil and gas producers could simulate underground geographies, determining the location of unexplored reserves. Roadrunner, like other modern supercomputers, uses cluster computing to achieve higher and higher levels of performance. This approach is both cheaper and more extensible than the supercomputers of the early 90s, using commodity parts to achieve the final machine. Blue Gene, for instance, has been significantly upgraded since its first assembly. Consumers and research institutions with more limited means have used a similar approach to construct Beowulf clusters. dabble

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