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Rex Computing
Existing processor architectures were designed in a time where the amount of energy to move data was roughly equal to the amount of energy required to do useful computation with that data. Moving 64 bits from memory takes over 40x more energy than the actual double precision floating point operation being performed with that data.
“It has been decades since the industry that gave Silicon Valley its name - the business of semiconductors and microprocessors - has managed to produce anything beyond incremental innovation, myopically chasing the Moore's law curve.” said Aaron VanDevender, Chief Scientist at Founders Fund. The Neo architecture addresses these problems by removing unnecessary complexity from hardware, resulting in smaller chip area and less power consumption, instead providing similar functionality more efficiently in a rich software toolchain. The 256-core Neo processor will be the first chip to reach over 50 GFLOPs per watt of double precision processing efficiency, bringing capabilities traditionally restricted to large supercomputers and data centers into low power and embedded application spaces.
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