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Jacob R. Stevens

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

5

Active years

2018–2022

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2022DACEfficient ensembles of graph neural networks.Amrit Nagarajan, Jacob R. Stevens, Anand Raghunathan
2022IJCNNAxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models.Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
2021DACGNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks.Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
2021DACSoftermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers.Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
2020DATEEmerging Neural Workloads and Their Impact on Hardware.David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin
2019DACX-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks.Ashish Ranjan, Shubham Jain, Jacob R. Stevens, Dipankar Das, Bharat Kaul, Anand Raghunathan
2019MICROManna: An Accelerator for Memory-Augmented Neural Networks.Jacob R. Stevens, Ashish Ranjan, Dipankar Das, Bharat Kaul, Anand Raghunathan
2018DATEACCLIB: Accelerators as libraries.Jacob R. Stevens, Yue Du, Vivek Kozhikkott, Anand Raghunathan
2018ICCADAxBA: an approximate bus architecture framework.Jacob R. Stevens, Ashish Ranjan, Anand Raghunathan