Row-stationary (RS)
Beginner
A way of sharing work across a grid where each cell handles one row of a small image filter, so every kind of number gets reused close by.
Novice
The dataflow introduced with the Eyeriss chip: each PE computes a one-dimensional convolution of a filter row with an input row, keeping the filter row, part of the input row and its partial sum in a small local memory.
Expert
Optimizes reuse of weights, activations and partial sums together in each PE’s register file, rather than one data type; Eyeriss reports 1.4–2.5× lower energy than WS, OS and no-local-reuse dataflows in AlexNet’s conv layers.
Explained in Systolic arrays (Architectures).
See also: Weight-stationary (WS), Output-stationary (OS).