Rishov Sarkar

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Multitask Learning

Inference Engine

Graph Representation

Top Venues

Publications

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 (2024)
Rishov Sarkar, Rachel Paul, Cong Hao
LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization. CoRR (2024)
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 (2023)
Rishov Sarkar, Cong Hao
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. FCCM (2023)
Rishov Sarkar, Cong Hao
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. CoRR (2023)
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)
Rishov Sarkar, Cong Hao
From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis. FCCM (2023)
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)
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 (2023)
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)
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 (2022)
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)
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. CoRR (2022)
Stefan Abi-Karam, Yuqi He, Rishov Sarkar, Lakshmi Sathidevi, Zihang Qiao, Cong Hao
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration. CoRR (2022)