25 Apr '17, 3pm

Computational graphs to cut power consumption, says @Cadence

Computational graphs to cut power consumption, says @Cadence

Today’s projections bear Feynman out. According to Prof Milutinovic, a double-precision floating-point multiplication performed on a computer built in 2018 should consume 10pJ. But writing the result to memory costs 2000pJ. Professor Mark Horowitz of Stanford University said at last year’s Design Automation Conference: “You quickly realise that, in a modern microprocessor, most of the energy goes into the memory system. I really don’t want to read and write the DRAM because it uses 1000 times more energy than accessing the data locally.” Power is a problem that has become more than noticeable in data-centre applications. Professor Jason Cong of UCLA says: “Data-centre energy consumption is now a very big deal. We are looking at having to build 50 additional large power plants by 2020 to support them.” But some of the hungriest applications that are now running in data cent...

Full article: http://www.newelectronics.co.uk/electronics-technology/co...

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