| Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ... International Symposium on Computer Architecture (ISCA) 43, 267-278, 2016 | 436 | 2016 |
| Aladdin: A pre-rtl, power-performance accelerator simulator enabling large design space exploration of customized architectures YS Shao, B Reagen, GY Wei, D Brooks 2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA …, 2014 | 231 | 2014 |
| MachSuite: Benchmarks for Accelerator Design and Customized Architectures B Reagen, R Adolf, YS Shao, D Wei, Gu-Yeon, Brooks IISWC, 2014 | 164 | 2014 |
| 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 | 154 | 2019 |
| 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 | 117 | 2016 |
| Ares: A framework for quantifying the resilience of deep neural networks B Reagen, U Gupta, L Pentecost, P Whatmough, SK Lee, N Mulholland, ... 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018 | 116 | 2018 |
| 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 | 56 | 2020 |
| The aladdin approach to accelerator design and modeling YS Shao, B Reagen, GY Wei, D Brooks IEEE Micro 35 (3), 58-70, 2015 | 37 | 2015 |
| A case for efficient accelerator design space exploration via bayesian optimization B Reagen, JM Hernández-Lobato, R Adolf, M Gelbart, P Whatmough, ... 2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017 | 36 | 2017 |
| Deep learning for computer architects B Reagen, R Adolf, P Whatmough, GY Wei, D Brooks Synthesis Lectures on Computer Architecture 12 (4), 1-123, 2017 | 32 | 2017 |
| Quantifying acceleration: Power/performance trade-offs of application kernels in hardware B Reagen, YS Shao, GY Wei, D Brooks International Symposium on Low Power Electronics and Design (ISLPED), 395-400, 2013 | 23 | 2013 |
| MASR: A modular accelerator for sparse rnns U Gupta, B Reagen, L Pentecost, M Donato, T Tambe, AM Rush, GY Wei, ... 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 21 | 2019 |
| Recnmp: Accelerating personalized recommendation with near-memory processing L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 20 | 2020 |
| Deeprecsys: A system for optimizing end-to-end at-scale neural recommendation inference U Gupta, S Hsia, V Saraph, X Wang, B Reagen, GY Wei, HHS Lee, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 19 | 2020 |
| Weightless: Lossy weight encoding for deep neural network compression B Reagan, U Gupta, B Adolf, M Mitzenmacher, A Rush, GY Wei, D Brooks International Conference on Machine Learning, 4324-4333, 2018 | 18 | 2018 |
| On-chip deep neural network storage with multi-level eNVM M Donato, B Reagen, L Pentecost, U Gupta, D Brooks, GY Wei Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 18 | 2018 |
| A multi-chip system optimized for insect-scale flapping-wing robots X Zhang, M Lok, T Tong, S Chaput, SK Lee, B Reagen, H Lee, D Brooks, ... 2015 Symposium on VLSI Circuits (VLSI Circuits), C152-C153, 2015 | 17 | 2015 |
| Designing neural network hardware accelerators with decoupled objective evaluations JM Hernández-Lobato, MA Gelbart, B Reagen, R Adolf, ... NIPS workshop on Bayesian Optimization, 10, 2016 | 16 | 2016 |
| Maxnvm: Maximizing dnn storage density and inference efficiency with sparse encoding and error mitigation L Pentecost, M Donato, B Reagen, U Gupta, S Ma, GY Wei, D Brooks Proceedings of the 52Nd Annual IEEE/ACM International Symposium on …, 2019 | 13 | 2019 |
| A fully integrated battery-powered system-on-chip in 40-nm CMOS for closed-loop control of insect-scale pico-aerial vehicle X Zhang, M Lok, T Tong, SK Lee, B Reagen, S Chaput, PEJ Duhamel, ... IEEE Journal of Solid-State Circuits 52 (9), 2374-2387, 2017 | 11 | 2017 |
David BrooksHaley Family Professor of Computer Science, Harvard UniversityVerifierad e-postadress på eecs.harvard.edu
