activity
20192025
most citedFADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs

11 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

DAPO: Design Structure-Aware Pass Ordering in High-Level Synthesis with Graph Contrastive and Reinforcement Learning

Jinming Ge, Linfeng Du, Likith Anaparty +8

High-Level Synthesis (HLS) tools are widely adopted in FPGA-based domain-specific accelerator design. However, existing tools rely on fixed optimization strategies inherited from s…

cs.LG2024★ 1 cited

Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration

Hanwei Fan, Ya Wang, Sicheng Li +2

With the continuous advancement of processors, modern micro-architecture designs have become increasingly complex. The vast design space presents significant challenges for human d…

cs.AR2022★ 11 cited

FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs

Linfeng Du, Tingyuan Liang, Sharad Sinha +2

Multi-die FPGAs are widely adopted to deploy large hardware accelerators. Two factors impede the performance optimization of HLS designs implemented on multi-die FPGAs. On the one…

cs.AR2022★ 1 cited

AMF-Placer 2.0: Open Source Timing-driven Analytical Mixed-size Placer for Large-scale Heterogeneous FPGA

Tingyuan Liang, Gengjie Chen, Jieru Zhao +2

On modern field-programmable gate arrays (FPGAs), certain critical path portions of the designs might be prearranged into many multi-cell macros during synthesis. These movable mac…

cs.AR2022

AutoCellLibX: Automated Standard Cell Library Extension Based on Pattern Mining

Tingyuan Liang, Jingsong Chen, Lei Li +1

Custom standard cell libraries can improve the final quality of the corresponding VLSI designs but properly customizing standard cell libraries remains challenging due to the compl…

cs.CV2020★ 2 cited

FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications

Jieru Zhao, Tingyuan Liang, Liang Feng +4

Fast and accurate depth estimation, or stereo matching, is essential in embedded stereo vision systems, requiring substantial design effort to achieve an appropriate balance among…

cs.DC2019★ 1 cited

Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis

Jieru Zhao, Tingyuan Liang, Sharad Sinha +1

High-level synthesis (HLS) shortens the development time of hardware designs and enables faster design space exploration at a higher abstraction level. Optimization of complex appl…