Bob Adolf
Bob Adolf
Graduate Student, Harvard University
Verifierad e-postadress på seas.harvard.edu - Startsida
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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
4362016
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
1642014
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
1172016
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
472011
Inter-Agency Workshop on HPC Resilience at Extreme Scale
J Daly, B Adolf, S Borkar, N DeBardeleben, M Elnozahy, M Heroux, ...
392012
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
38*2012
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
362017
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
322017
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
182018
Designing Neural Network Hardware Accelerators with Decoupled Objective Evaluations
JM Hernández-Lobato, MA Gelbart, B Reagan, R Adolf, ...
NIPS Workshop on Bayesian Optimization, 2016
162016
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
142012
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
122010
Scalable, Multithreaded, Partially-in-place Sorting
DJ Haglin, RD Adolf, GE Mackey
Proceedings of the 2013 IEEE 27th International Symposium on Parallel and …, 2013
102013
New paradigms for intrusion detection using genetic programming
B Adolf
Technical report January, 2004
82004
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
52011
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
42011
Deep learning for computer architects
B Reagen, R Adolf, P Whatmough, GY Wei, D Brooks
Morgan & Claypool Publishers,, 2019
12019
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
Graph search optimization system based on sorted property techniques
D Haglin, D Chavarria, B Adolf, P Loos
US Patent App. 15/961,773, 2019
2019
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Artiklar 1–20