M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. - Hanxue Liang; Zhiwen Fan; Rishov Sarkar; Ziyu Jiang; Tianlong Chen 001; Kai Zou; Yu Cheng 001; Cong Hao; Zhangyang Wang (NeurIPS, 2022)

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration. - Stefan Abi-Karam; Yuqi He; Rishov Sarkar; Lakshmi Sathidevi; Zihang Qiao; Cong Hao (CoRR, 2022)

FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming. - Rishov Sarkar; Stefan Abi-Karam; Yuqi He; Lakshmi Sathidevi; Cong Hao (CoRR, 2022)

M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. - Hanxue Liang; Zhiwen Fan; Rishov Sarkar; Ziyu Jiang; Tianlong Chen 001; Kai Zou; Yu Cheng 001; Cong Hao; Zhangyang Wang (CoRR, 2022)

LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. - Rishov Sarkar; Cong Hao (FCCM, 2023)

From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis. - Rishov Sarkar; Cong Hao (FCCM, 2023)

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference. - Rishov Sarkar; Stefan Abi-Karam; Yuqi He; Lakshmi Sathidevi; Cong Hao (HPCA, 2023)

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. - Stefan Abi-Karam; Rishov Sarkar; Dejia Xu; Zhiwen Fan; Zhangyang Wang; Cong Hao (ICCAD, 2023)

Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts. - Rishov Sarkar; Hanxue Liang; Zhiwen Fan; Zhangyang Wang; Cong Hao (ICCAD, 2023)

Ph.D. Project: Modernizing High-Level Hardware Design Workflows. - Rishov Sarkar; Cong Hao (FCCM, 2024)

LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization. - Rishov Sarkar; Rachel Paul; Cong Hao (FCCM, 2024)

HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. - Stefan Abi-Karam; Rishov Sarkar; Allison Seigler; Sean Lowe; Zhigang Wei; Hanqiu Chen; Nanditha Rao; Lizy Kurian John; Aman Arora 001; Cong Hao (MLCAD, 2024)