3 papers
cs.LG2025
FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
Jingxiao Ma, Priyadarshini Panda, Sherief Reda
Backpropagation has been the cornerstone of neural network training for decades, yet its inefficiencies in time and energy consumption limit its suitability for resource-constraine…
cs.LG2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
Marina Neseem, Conor McCullough, Randy Hsin +8
Low-precision quantization is recognized for its efficacy in neural network optimization. Our analysis reveals that non-quantized elementwise operations which are prevalent in laye…
cs.AI2024
torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem
Abdelrahman Hosny, Sherief Reda
The remarkable achievements of machine learning techniques in analyzing discrete structures have drawn significant attention towards their integration into combinatorial optimizati…