26 Jul '16, 1pm

Processing Parallel Worlds: MIT Swarm Processor Shows Spectacular Early Results

Swarm doesn’t care. It’s designed to keep most or all of its 64 CPU cores busy, no matter what they have to do, even if it means speculatively executing some tasks and throwing away the results. It’s all about work, work, work, and worry about the outcome later. In MIT’s simulations, this counterintuitive approach yields very good results – at least, for the types of tasks that Swarm’s creators simulated. They’ve seen speedups of 43x to 117x over conventional serialized implementations, and 3x to 18x improvements over “state of the art” parallel implementations. In other words, Swarm appears to be at least three times faster than anything else you can do today. Not bad.

Full article: http://www.eejournal.com/archives/articles/20160726-swarm/

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