Equation 5 · What an AI Accelerator Actually Is: Silicon, Packaging, and the Memory It Can Reach
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bytes occupied by each element. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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What the article says around this equation
Multiplying an m k matrix by a k n matrix performs 2mnk floating-point operations while touching mk + kn + mn elements. If each element occupies s bytes, the ratio of work done to bytes moved is
Sources cited in the article section
- [1] In-Datacenter Performance Analysis of a Tensor Processing Unit ↗
- [3] TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings ↗
- [10] NVIDIA Hopper Tuning Guide ↗
These citations give research context. Read each source to check which claims it supports.
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