6 citations · 13 across the 4 of their papers we have counts for
5 papers
HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills
Yakup Koray Budanaz, Lorenzo Paleari, Marcin Copik +7
Coding agents are increasingly used to optimize code, but existing benchmarks fix one accelerator, programming model or harness, so they cannot isolate what each component contribu…
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu +3
Deep neural networks generate and process large volumes of data, posing challenges for low-resource embedded systems. In-memory computing has been demonstrated as an efficient comp…
Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang +4
Quantum optimization is the most mature quantum computing technology to date, providing a promising approach towards efficiently solving complex combinatorial problems. Methods suc…
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh +2
Recent advancements in neural network quantisation have yielded remarkable outcomes, with three-bit networks reaching state-of-the-art full-precision accuracy in complex tasks. The…
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks
Xiu Qi Chang, Ann Feng Chew, Benjamin Chen Ming Choong +6
Deep neural networks (DNN) are a promising tool in medical applications. However, the implementation of complex DNNs on battery-powered devices is challenging due to high energy co…