Vijay Janapa Reddi
Cited by
Cited by
Pin: building customized program analysis tools with dynamic instrumentation
CK Luk, R Cohn, R Muth, H Patil, A Klauser, G Lowney, S Wallace, ...
Acm sigplan notices 40 (6), 190-200, 2005
GPUWattch: Enabling energy optimizations in GPGPUs
J Leng, T Hetherington, A ElTantawy, S Gilani, NS Kim, TM Aamodt, ...
ACM SIGARCH Computer Architecture News 41 (3), 487-498, 2013
Tensorflow lite micro: Embedded machine learning for tinyml systems
R David, J Duke, A Jain, V Janapa Reddi, N Jeffries, J Li, N Kreeger, ...
Proceedings of Machine Learning and Systems 3, 800-811, 2021
Mlperf inference benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
Deep reinforcement learning for cyber security
TT Nguyen, VJ Reddi
IEEE Transactions on Neural Networks and Learning Systems, 2019
A dynamic compilation framework for controlling microprocessor energy and performance
Q Wu, VJ Reddi, Y Wu, J Lee, D Connors, D Brooks, M Martonosi, ...
38th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'05 …, 2005
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
Web search using mobile cores: quantifying and mitigating the price of efficiency
V Janapa Reddi, BC Lee, T Chilimbi, K Vaid
ACM SIGARCH Computer Architecture News 38 (3), 314-325, 2010
Pin: a binary instrumentation tool for computer architecture research and education
VJ Reddi, A Settle, DA Connors, RS Cohn
Proceedings of the 2004 workshop on Computer architecture education: held in …, 2004
Benchmarking tinyml systems: Challenges and direction
CR Banbury, VJ Reddi, M Lam, W Fu, A Fazel, J Holleman, X Huang, ...
arXiv preprint arXiv:2003.04821, 2020
High-performance and energy-efficient mobile web browsing on big/little systems
Y Zhu, VJ Reddi
2013 IEEE 19th International Symposium on High Performance Computer …, 2013
PLR: A software approach to transient fault tolerance for multicore architectures
A Shye, J Blomstedt, T Moseley, VJ Reddi, DA Connors
IEEE Transactions on Dependable and Secure Computing 6 (2), 135-148, 2008
Mobile CPU's rise to power: Quantifying the impact of generational mobile CPU design trends on performance, energy, and user satisfaction
M Halpern, Y Zhu, VJ Reddi
2016 IEEE International Symposium on High Performance Computer Architecture …, 2016
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers
C Banbury, C Zhou, I Fedorov, R Matas, U Thakker, D Gope, ...
Proceedings of Machine Learning and Systems 3, 517-532, 2021
Using process-level redundancy to exploit multiple cores for transient fault tolerance
A Shye, T Moseley, VJ Reddi, J Blomstedt, DA Connors
37th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2007
Voltage emergency prediction: Using signatures to reduce operating margins
VJ Reddi, MS Gupta, G Holloway, GY Wei, MD Smith, D Brooks
2009 IEEE 15th International Symposium on High Performance Computer …, 2009
MLPerf: An industry standard benchmark suite for machine learning performance
P Mattson, VJ Reddi, C Cheng, C Coleman, G Diamos, D Kanter, ...
IEEE Micro 40 (2), 8-16, 2020
Voltage smoothing: Characterizing and mitigating voltage noise in production processors via software-guided thread scheduling
VJ Reddi, S Kanev, W Kim, S Campanoni, MD Smith, GY Wei, D Brooks
2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 77-88, 2010
Event-based scheduling for energy-efficient qos (eqos) in mobile web applications
Y Zhu, M Halpern, VJ Reddi
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
Shadow profiling: Hiding instrumentation costs with parallelism
T Moseley, A Shye, VJ Reddi, D Grunwald, R Peri
International Symposium on Code Generation and Optimization (CGO'07), 198-208, 2007
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