Rishov Sarkar

21 papers A* 3A 2Misc 4Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
FIFOAdvisor: A DSE Framework for Automated FIFO Sizing of High-Level Synthesis Designs.
ASP-DAC
Stefan Abi-Karam, Rishov Sarkar, Suhail Basalama, Jason Cong, Callie Hao
2025 J jnl
FIFOAdvisor: A DSE Framework for Automated FIFO Sizing of High-Level Synthesis Designs.
CoRR
Stefan Abi-Karam, Rishov Sarkar, Suhail Basalama, Jason Cong, Callie Hao
2025 A* conf
OmniSim: Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs.
MICRO
Rishov Sarkar, Cong Hao
2025 J jnl
OmniSim: Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs.
CoRR
Rishov Sarkar, Cong Hao
2024 — conf
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond.
MLCAD
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao
2024 J jnl
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond.
CoRR
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao
2024 Misc conf
LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization.
FCCM
Rishov Sarkar, Rachel Paul, Cong Hao
2024 J jnl
LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization.
CoRR
Rishov Sarkar, Rachel Paul, Cong Hao
2024 Misc conf
Ph.D. Project: Modernizing High-Level Hardware Design Workflows.
FCCM
Rishov Sarkar, Cong Hao
2023 A conf
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts.
ICCAD
Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023 J jnl
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts.
CoRR
Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023 A* conf
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference.
HPCA
Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao
2023 Misc conf
From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis.
FCCM
Rishov Sarkar, Cong Hao
2023 A conf
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.
ICCAD
Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023 J jnl
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.
CoRR
Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023 Misc conf
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis.
FCCM
Rishov Sarkar, Cong Hao
2023 J jnl
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis.
CoRR
Rishov Sarkar, Cong Hao
2022 J jnl
FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming.
CoRR
Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao
2022 J jnl
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration.
CoRR
Stefan Abi-Karam, Yuqi He, Rishov Sarkar, Lakshmi Sathidevi, Zihang Qiao, Cong Hao
2022 J jnl
M
CoRR
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022 A* conf
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.
NeurIPS
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang