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First look at the Arm Machine Learning Processor

Arm chose this year’s IEEE Hot Chips Symposium to show off their first-generation Machine Learning Processor claiming a design that delivers ‘massive’ efficiency improvements over GPU, CPU, or DSP implementations as well as the ability to scale from IoT to server applications. Being an English design, it probably serves tea in a porcelain cup, as well. Leaving aside the issue ...

Peter McGuinness

Arm chose this year’s IEEE Hot Chips Symposium to show off their first-generation Machine Learning Processor claiming a design that delivers ‘massive’ efficiency improvements over GPU, CPU, or DSP implementations as well as the ability to scale from IoT to server applications. Being an English design, it probably serves tea in a porcelain cup, as well. Leaving aside the issue of whether any architecture can deliver all of that, the implementation described is aimed explicitly at mobile applications and delivers a theoretical MAC throughput of 4096 OPS per clock for a 4 TOPS machine if running at 1 GHz, which
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