Saketh Rama

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Cognitive Computing

Matrix Multiplication

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

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) (2023)
Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, Gu-Yeon Wei, David Brooks
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators. CoRR (2021)
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)
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) (2017)
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)
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)
Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
Fathom: reference workloads for modern deep learning methods. IISWC (2016)
Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
Fathom: Reference Workloads for Modern Deep Learning Methods. CoRR (2016)