16 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.AR2024★ 1 cited
Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis
Giuseppe M. Sarda, Nimish Shah, Debjyoti Bhattacharjee +2
GPGPU execution analysis has always been tied to closed-source, proprietary benchmarking tools that provide high-level, non-exhaustive, and/or statistical information, preventing a…
cs.LG2019★ 16 cited
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans +4
Deep neural networks (DNNs) can be made hardware-efficient by reducing the numerical precision of the weights and activations of the network and by improving the network's resilien…