Gu-Yeon Wei
Gu-Yeon Wei
Robert and Suzanne Case Professor of EE and CS, Harvard University and Fellow, Samsung Research
Verified email at
Cited by
Cited by
System level analysis of fast, per-core DVFS using on-chip switching regulators
W Kim, MS Gupta, GY Wei, D Brooks
2008 IEEE 14th International Symposium on High Performance Computer …, 2008
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
Profiling a warehouse-scale computer
S Kanev, JP Darago, K Hazelwood, P Ranganathan, T Moseley, GY Wei, ...
Proceedings of the 42nd Annual International Symposium on Computer …, 2015
Aladdin: A pre-rtl, power-performance accelerator simulator enabling large design space exploration of customized architectures
YS Shao, B Reagen, GY Wei, D Brooks
ACM SIGARCH Computer Architecture News 42 (3), 97-108, 2014
Thread motion: fine-grained power management for multi-core systems
KK Rangan, GY Wei, D Brooks
ACM SIGARCH Computer Architecture News 37 (3), 302-313, 2009
A fully-integrated 3-level DC-DC converter for nanosecond-scale DVFS
W Kim, D Brooks, GY Wei
IEEE Journal of Solid-State Circuits 47 (1), 206-219, 2011
MachSuite: Benchmarks for accelerator design and customized architectures
B Reagen, R Adolf, YS Shao, GY Wei, D Brooks
2014 IEEE International Symposium on Workload Characterization (IISWC), 110-119, 2014
Ares: A framework for quantifying the resilience of deep neural networks
B Reagen, U Gupta, L Pentecost, P Whatmough, SK Lee, N Mulholland, ...
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Mlperf training benchmark
P Mattson, C Cheng, G Diamos, C Coleman, P Micikevicius, D Patterson, ...
Proceedings of Machine Learning and Systems 2, 336-349, 2020
Benchmarking TPU, GPU, and CPU platforms for deep learning
YE Wang, GY Wei, D Brooks
arXiv preprint arXiv:1907.10701, 2019
Understanding voltage variations in chip multiprocessors using a distributed power-delivery network
MS Gupta, JL Oatley, R Joseph, GY Wei, DM Brooks
2007 Design, Automation & Test in Europe Conference & Exhibition, 1-6, 2007
Driving high voltage piezoelectric actuators in microrobotic applications
M Karpelson, GY Wei, RJ Wood
Sensors and actuators A: Physical 176, 78-89, 2012
A portable, low-power, wireless two-lead EKG system
TRF Fulford-Jones, GY Wei, M Welsh
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
A fully digital, energy-efficient, adaptive power-supply regulator
GY Wei, M Horowitz
IEEE Journal of solid-state Circuits 34 (4), 520-528, 1999
An ultra low power system architecture for sensor network applications
M Hempstead, N Tripathi, P Mauro, GY Wei, D Brooks
32nd International Symposium on Computer Architecture (ISCA'05), 208-219, 2005
A review of actuation and power electronics options for flapping-wing robotic insects
M Karpelson, GY Wei, RJ Wood
2008 IEEE international conference on robotics and automation, 779-786, 2008
Adaptive bandwidth DLLs and PLLs using regulated supply CMOS buffers
S Sidiropoulos, D Liu, J Kim, G Wei, M Horowitz
2000 Symposium on VLSI Circuits. Digest of Technical Papers (Cat. No …, 2000
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
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
A low power switching power supply for self-clocked systems
GY Wei, M Horowitz
Proceedings of 1996 International Symposium on Low Power Electronics and …, 1996
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