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Parallel computing

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A snippet of code from the Cilk language showing the 'spawn' and 'sync' commands.

Language barrier

To take advantage of multicore chips, programmers will need software development systems that let them express themselves in fundamentally new ways.

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No backtalk

One key to making parallel algorithms efficient is to minimize the amount of communication between cores.

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Retooling algorithms

Charles Leiserson and his team are experts at designing parallel algorithms — including one for a chess-playing program that outperformed IBM’s Deep Blue.

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The next operating system

Operating systems for multicore chips will need more information about their own performance — and more resources for addressing whatever problems arise.

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Designing the hardware

Improving communication between distributed processors and managing shared data are two of the central challenges in creating tomorrow’s chips.

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An image of a Quad-Core AMD Opteron™ processor

Parallel course

As chip makers turn to multiple 'cores' to improve performance, MIT researchers help ease programmers' transition to parallel programming.

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