دنبال کردن
Saketh Rama
عنوان
نقل شده توسط
نقل شده توسط
سال
Minerva: Enabling low-power, highly-accurate deep neural network accelerators‏
B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ...‏
ACM SIGARCH Computer Architecture News 44 (3), 267-278, 2016‏
7782016
14.3 A 28nm SoC with a 1.2 GHz 568nJ/prediction sparse deep-neural-network engine with> 0.1 timing error rate tolerance for IoT applications‏
PN Whatmough, SK Lee, H Lee, S Rama, D Brooks, GY Wei‏
2017 IEEE International Solid-State Circuits Conference (ISSCC), 242-243, 2017‏
2112017
Fathom: Reference workloads for modern deep learning methods‏
R Adolf, S Rama, B Reagen, GY Wei, D Brooks‏
2016 IEEE International Symposium on Workload Characterization (IISWC), 1-10, 2016‏
2092016
Early dse and automatic generation of coarse-grained merged accelerators‏
I Brumar, G Zacharopoulos, Y Yao, S Rama, D Brooks, GY Wei‏
ACM Transactions on Embedded Computing Systems 22 (2), 1-29, 2023‏
102023
Application of approximate matrix multiplication to neural networks and distributed SLAM‏
B Plancher, CD Brumar, I Brumar, L Pentecost, S Rama, D Brooks‏
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019‏
82019
Methods of communication avoidance in parallel solutions of partial differential equations‏
LS White, G Dasika, SV Rama‏
US Patent App. 17/561,227, 2023‏
2023
Machine learning based stabilizer for numerical methods‏
SV Rama, G Dasika, LS White‏
US Patent App. 17/550,882, 2023‏
2023
The Design and Evolution of Deep Learning Workloads‏
R Adolf, S Rama, B Reagen, GY Wei, D Brooks‏
IEEE MICRO 37 (1), 18-21, 2017‏
2017
Using neural networks to reduce communication in numerical solution of partial differential equations‏
L White, G Dasika, S Rama‏
2 Counting Distinct Elements in a Stream‏
JN Scribe, S Rama‏
2 Load Balancing‏
JN Scribe, S Rama‏
ISSCC 2017/SESSION 14/DEEP-LEARNING PROCESSORS/14.3‏
PN Whatmough, SK Lee, H Lee, S Rama, D Brooks, GY Wei‏
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–12