3 ms·
For floating point? Are you sure?
by p1esk 3y ago
For floating point? Are you sure?
- deleted 3y ago[deleted]
- waynecochran 3y agoOpening statement of README This repository contains the source code for ML hardware architectures that require nearly half the number of multiplier units to achieve the same performance, by executing alternative inner-product algorithms that trade nearly half the multiplications for cheap low-bitwidth additions, while still producing identical output as the conventional inner product.
- p1esk 3y agoI just looked at the paper: the answer is no, floating point is not supported.