4 papers · 1 filter
ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis
Zedong Peng, Zeju Li, Mingzhe Gao +3
High-Level Synthesis (HLS) plays a crucial role in modern hardware design by transforming high-level code into optimized hardware implementations. However, progress in applying mac…
AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models
Chenhao Xue, Kezhi Li, Jiaxing Zhang +7
Arithmetic circuits, such as adders and multipliers, are fundamental components of digital systems, directly impacting the performance, power efficiency, and area footprint. Howeve…
DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization
Yi Ren, Chenhao Xue, Jiaxing Zhang +5
The proliferation of deep learning accelerators calls for efficient and cost-effective hardware design solutions, where parameterized modular hardware generator and electronic desi…
DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators
Chenhao Xue, Yi Ren, Jinwei Zhou +6
Multipliers and multiply-accumulators (MACs) are fundamental building blocks for compute-intensive applications such as artificial intelligence. With the diminishing returns of Moo…