Wattch: A framework for architectural-level power analysis and optimizations D Brooks, V Tiwari, M Martonosi ACM SIGARCH Computer Architecture News 28 (2), 83-94, 2000 | 3892 | 2000 |
Dynamic thermal management for high-performance microprocessors D Brooks, M Martonosi Proceedings HPCA Seventh International Symposium on High-Performance …, 2001 | 1127 | 2001 |
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 | 1038 | 2008 |
Applied machine learning at facebook: A datacenter infrastructure perspective K Hazelwood, S Bird, D Brooks, S Chintala, U Diril, D Dzhulgakov, ... 2018 IEEE international symposium on high performance computer architecture …, 2018 | 770 | 2018 |
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 | 768 | 2016 |
Accurate and efficient regression modeling for microarchitectural performance and power prediction BC Lee, DM Brooks ACM SIGOPS operating systems review 40 (5), 185-194, 2006 | 675 | 2006 |
Power-aware microarchitecture: Design and modeling challenges for next-generation microprocessors DM Brooks, P Bose, SE Schuster, H Jacobson, PN Kudva, ... IEEE Micro 20 (6), 26-44, 2000 | 651 | 2000 |
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 | 602 | 2015 |
Machine learning at facebook: Understanding inference at the edge CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ... 2019 IEEE international symposium on high performance computer architecture …, 2019 | 570 | 2019 |
Sustainable ai: Environmental implications, challenges and opportunities CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ... Proceedings of Machine Learning and Systems 4, 795-813, 2022 | 511 | 2022 |
Dynamically exploiting narrow width operands to improve processor power and performance D Brooks, M Martonosi Proceedings Fifth International Symposium on High-Performance Computer …, 1999 | 431 | 1999 |
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 | 407 | 2014 |
Benchmarking TPU, GPU, and CPU platforms for deep learning YE Wang, GY Wei, D Brooks arXiv preprint arXiv:1907.10701, 2019 | 378 | 2019 |
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 | 363 | 2018 |
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 | 362 | 2009 |
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 | 343 | 2014 |
Mlperf training benchmark P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ... Proceedings of Machine Learning and Systems (MLSys) 2020, 2019 | 342 | 2019 |
The architectural implications of facebook's dnn-based personalized recommendation U Gupta, CJ Wu, X Wang, M Naumov, B Reagen, D Brooks, B Cottel, ... 2020 IEEE International Symposium on High Performance Computer Architecture …, 2020 | 332 | 2020 |
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 | 329 | 2011 |
Chasing carbon: The elusive environmental footprint of computing U Gupta, YG Kim, S Lee, J Tse, HHS Lee, GY Wei, D Brooks, CJ Wu 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 328 | 2021 |