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ORCIDRishov Sarkar
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2020 – today
- 2024
[c9]Rishov Sarkar, Rachel Paul, Cong Hao:
LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization. FCCM 2024: 104-114- [c8]Rishov Sarkar, Cong Hao:
Ph.D. Project: Modernizing High-Level Hardware Design Workflows. FCCM 2024: 245-246 - [c7]Stefan Abi-Karam
, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao:
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. MLCAD 2024: 23:1-23:9 - [i8]Rishov Sarkar, Rachel Paul, Cong Hao:
LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization. CoRR abs/2404.09471 (2024) - [i7]Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao:
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. CoRR abs/2405.00820 (2024) - 2023
- [c6]Rishov Sarkar, Cong Hao:
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. FCCM 2023: 1-11 - [c5]Rishov Sarkar, Cong Hao:
From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis. FCCM 2023: 236-238 - [c4]Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao:
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference. HPCA 2023: 1099-1112 - [c3]Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao:
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. ICCAD 2023: 1-9 - [c2]Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao:
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts. ICCAD 2023: 1-9 - [i6]Rishov Sarkar, Cong Hao:
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. CoRR abs/2304.11219 (2023) - [i5]Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao:
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts. CoRR abs/2305.18691 (2023) - [i4]Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao:
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. CoRR abs/2308.05930 (2023) - 2022
- [c1]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS 2022 - [i3]Stefan Abi-Karam, Yuqi He, Rishov Sarkar, Lakshmi Sathidevi, Zihang Qiao, Cong Hao:
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration. CoRR abs/2201.08475 (2022) - [i2]Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao:
FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming. CoRR abs/2204.13103 (2022) - [i1]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. CoRR abs/2210.14793 (2022)
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