Rishov Sarkar

According to our database1, Rishov Sarkar authored at least 9 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

2022
M<sup>3</sup>ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.
CoRR, 2022

FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming.
CoRR, 2022

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration.
CoRR, 2022

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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