Jacob R. Stevens

According to our database1, Jacob R. Stevens authored at least 12 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
X-Former: In-Memory Acceleration of Transformers.
IEEE Trans. Very Large Scale Integr. Syst., August, 2023

2022
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models.
Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient ensembles of graph neural networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models.
CoRR, 2020

Emerging Neural Workloads and Their Impact on Hardware.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Manna: An Accelerator for Memory-Augmented Neural Networks.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
AxBA: an approximate bus architecture framework.
Proceedings of the International Conference on Computer-Aided Design, 2018

ACCLIB: Accelerators as libraries.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in Intermittently-Powered IoT Devices.
ACM Trans. Embed. Comput. Syst., 2017


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