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Saketh Rama
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2020 – today
- 2023
- [j2]Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, David Brooks, Gu-Yeon Wei:
Early DSE and Automatic Generation of Coarse-grained Merged Accelerators. ACM Trans. Embed. Comput. Syst. 22(2): 32:1-32:29 (2023) - 2021
- [i2]Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, Gu-Yeon Wei, David Brooks:
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators. CoRR abs/2111.09222 (2021)
2010 – 2019
- 2019
- [c4]Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks:
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. HPEC 2019: 1-7 - 2017
- [j1]Yuhao Zhu, Vijay Janapa Reddi, Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads. IEEE Micro 37(1): 15-21 (2017) - [c3]Paul N. Whatmough, Sae Kyu Lee, Hyunkwang Lee, Saketh Rama, David M. Brooks, Gu-Yeon Wei:
14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications. ISSCC 2017: 242-243 - 2016
- [c2]Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Fathom: reference workloads for modern deep learning methods. IISWC 2016: 148-157 - [c1]Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, José Miguel Hernández-Lobato, Gu-Yeon Wei, David M. Brooks:
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators. ISCA 2016: 267-278 - [i1]Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Fathom: Reference Workloads for Modern Deep Learning Methods. CoRR abs/1608.06581 (2016)
Coauthor Index
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