Rishov Sarkar | DeepAI

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∙ 08/11/2023

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing

An increasing number of researchers are finding use for nth-order gradie...

0 Stefan Abi-Karam, et al. ∙

∙ 05/30/2023

Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts

Computer vision researchers are embracing two promising paradigms: Visio...

0 Rishov Sarkar, et al. ∙

∙ 04/21/2023

LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis

High-Level Synthesis allows hardware designers to create complex RTL des...

0 Rishov Sarkar, et al. ∙

∙ 10/26/2022

M^3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Multi-task learning (MTL) encapsulates multiple learned tasks in a singl...

0 Hanxue Liang, et al. ∙

∙ 04/27/2022

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

Graph neural networks (GNNs) have recently exploded in popularity thanks...

10 Rishov Sarkar, et al. ∙

∙ 01/20/2022

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

Graph neural networks (GNNs) have recently exploded in popularity thanks...

0 Stefan Abi-Karam, et al. ∙

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