@mkvenkit: Google’s Tensor Processing Unit (TPU) uses the systolic array architecture - an idea from 1978 - to accelerate matrix m…
Summary
Google's TPU uses the systolic array architecture from 1978 to accelerate matrix multiplication with less memory movement. The post shares links to the original paper and TPU design, and suggests building a small-scale version on an FPGA.
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Google’s Tensor Processing Unit (TPU) uses the systolic array architecture - an idea from 1978 - to accelerate matrix multiplication with far less memory movement. Fun to build a small scale version on an FPGA. Links to original paper and TPU design: https://t.co/cEznMoForH
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@vivekgalatage: It's super interesting to know the system architecture of the TPUs. https://henryhmko.github.io/posts/tpu/tpu.html…
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