44 citations · 44 across the 3 of their papers we have counts for
3 papers
cs.AR2022
Democratizing Domain-Specific Computing
Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh +2
In the past few years, domain-specific accelerators (DSAs), such as Google's Tensor Processing Units, have shown to offer significant performance and energy efficiency over general…
cs.AR2022★ 44 cited
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design
Licheng Guo, Yuze Chi, Jason Lau +9
In this paper, we propose TAPA, an end-to-end framework that compiles a C++ task-parallel dataflow program into a high-frequency FPGA accelerator. Compared to existing solutions, T…
cs.AR2022
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs
Weikang Qiao, Licheng Guo, Zhenman Fang +2
The emergence of high-bandwidth memory (HBM) brings new opportunities to boost the performance of sorting acceleration on FPGAs, which was conventionally bounded by the available o…