| Minerva: Enabling low-power, highly-accurate deep neural network accelerators B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ... 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture …, 2016 | 561 | 2016 |
| 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), 2014 | 212 | 2014 |
| 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), 2016 | 153 | 2016 |
| 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 | 59 | 2017 |
| High-performance computing applied to semantic databases EL Goodman, E Jimenez, D Mizell, S Al-Saffar, B Adolf, D Haglin Extended Semantic Web Conference, 31-45, 2011 | 49 | 2011 |
| Inter-Agency Workshop on HPC Resilience at Extreme Scale J Daly, B Adolf, S Borkar, N DeBardeleben, M Elnozahy, M Heroux, ... | 44 | 2012 |
| Report: Inter-Agency Workshop on HPC Resilience at Extreme Scale J Daly, B Harrod, T Hoang, L Nowell, B Adolf, S Borkar, N DeBardeleben, ... Technical Report. Advanced Computing Systems, National Security Agency, 2012 | 42* | 2012 |
| 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 | 38 | 2017 |
| 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 | 34 | 2018 |
| Designing Neural Network Hardware Accelerators with Decoupled Objective Evaluations JM Hernández-Lobato, MA Gelbart, B Reagan, R Adolf, ... NIPS Workshop on Bayesian Optimization, 2016 | 21 | 2016 |
| Towards Efficient N-x Contingency Selection Using Group Betweenness Centrality M Halappanavar, Y Chen, R Adolf, D Haglin, Z Huang, M Rice Second International Workshop on High-Performance Computing, Networking, and …, 2012 | 16 | 2012 |
| High performance semantic factoring of giga-scale semantic graph databases C Joslyn, B Adolf, S al Saffar, J Feo, E Goodman, D Haglin, G Mackey, ... Semantic Web Challenge, 2010 | 12 | 2010 |
| Scalable, Multithreaded, Partially-in-place Sorting DJ Haglin, RD Adolf, GE Mackey Proceedings of the 2013 IEEE 27th International Symposium on Parallel and …, 2013 | 10 | 2013 |
| New paradigms for intrusion detection using genetic programming B Adolf Technical report January, 2004 | 7 | 2004 |
| Techniques for improving filters in power grid contingency analysis R Adolf, D Haglin, M Halappanavar, Y Chen, Z Huang Machine Learning and Data Mining in Pattern Recognition, 599-611, 2011 | 5 | 2011 |
| High performance descriptive semantic analysis of semantic graph databases C Joslyn, B Adolf, S al-Saffar, J Feo, E Goodman, D Haglin, G Mackey, ... 1st Workshop on High-Performance Computing for the Semantic Web at ESWC, 2011 | 4 | 2011 |
| Deep learning for computer architects B Reagen, R Adolf, P Whatmough, GY Wei, D Brooks Morgan & Claypool Publishers,, 2019 | 1 | 2019 |
| Graph search optimization system based on sorted property techniques D Haglin, D Chavarrìa-Miranda, R Adolf, P Loos US Patent App. 17/341,149, 2022 | | 2022 |
| Graph search optimization system based on derived constraint techniques D Haglin, D Chavarria-Miranda, R Adolf US Patent 10,885,117, 2021 | | 2021 |
| Graph search optimization system based on an edge-count directed techniques D Haglin, D Chavarria-Miranda, R Adolf US Patent 10,885,116, 2021 | | 2021 |
Gu-Yeon WeiRobert and Suzanne Case Professor of EE and CS, Harvard University and Fellow, Samsung ResearchVerified email at eecs.harvard.edu
