Fathom: reference workloads for modern deep learning methods. - Robert Adolf; Saketh Rama; Brandon Reagen; Gu-Yeon Wei; David M. Brooks (IISWC, 2016)

Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators. - Brandon Reagen; Paul N. Whatmough; Robert Adolf; Saketh Rama; Hyunkwang Lee; Sae Kyu Lee; José Miguel Hernández-Lobato; Gu-Yeon Wei; David M. Brooks (ISCA, 2016)

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. - Paul N. Whatmough; Sae Kyu Lee; Hyunkwang Lee; Saketh Rama; David M. Brooks; Gu-Yeon Wei (ISSCC, 2017)

Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads. - Yuhao Zhu 001; Vijay Janapa Reddi; Robert Adolf; Saketh Rama; Brandon Reagen; Gu-Yeon Wei; David M. Brooks (IEEE Micro, 2017)

Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. - Brian Plancher; Camelia D. Brumar; Iulian Brumar; Lillian Pentecost; Saketh Rama; David Brooks 001 (HPEC, 2019)

Early DSE and Automatic Generation of Coarse-grained Merged Accelerators. - Iulian Brumar; Georgios Zacharopoulos; Yuan Yao 006; Saketh Rama; David Brooks 001; Gu-Yeon Wei (ACM Trans. Embed. Comput. Syst., 2023)