Saketh Rama

Fathom: reference workloads for modern deep learning methods

Gu-Yeon Wei, David M. Brooks, Robert Adolf, 2016, 2016 IEEE International Symposium on Workload Characterization (IISWC).

Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

Gu-Yeon Wei, José Miguel Hernández-Lobato, Sae Kyu Lee, 2016, 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).

Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

Gu-Yeon Wei, David M. Brooks, José Miguel Hernández-Lobato, 2016, 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).

Sketching Algorithms for Big Data Fall 2017 Lecture 2 — September 5

Saketh Rama, Jelani Nelson, 2017 .

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

Gu-Yeon Wei, David M. Brooks, Sae Kyu Lee, 2017, 2017 IEEE International Solid-State Circuits Conference (ISSCC).

Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM

David Brooks, Saketh Rama, Lillian Pentecost, 2019, 2019 IEEE High Performance Extreme Computing Conference (HPEC).

Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads

Gu-Yeon Wei, David M. Brooks, Vijay Janapa Reddi, 2017, IEEE Micro.