5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization
Jiayi Tian, Jinming Lu, Hai Li +4
Transformer models have achieved state-of-the-art performance across a wide range of machine learning tasks. There is growing interest in training transformers on resource-constrai…
cs.AR2024
Exploring and Exploiting Runtime Reconfigurable Floating Point Precision in Scientific Computing: a Case Study for Solving PDEs
Cong "Callie" Hao
Scientific computing applications, such as computational fluid dynamics and climate modeling, typically rely on 64-bit double-precision floating-point operations, which are extreme…
cs.NE2022★ 5 cited
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process
Dongning Ma, Xun Jiao
Hyperdimensional Computing (HDC) has obtained abundant attention as an emerging non von Neumann computing paradigm. Inspired by the way human brain functions, HDC leverages high di…