Lillian Pentecost
Lillian Pentecost
Graduate Student, Harvard University
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
1392018
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
1132020
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
332019
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
232019
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
212018
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators
PN Whatmough, SK Lee, M Donato, HC Hsueh, SL Xi, U Gupta, ...
2019 Symposium on VLSI Circuits, C34-C35, 2019
182019
MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge
M Donato, L Pentecost, D Brooks, GY Wei
IEEE Micro 39 (6), 73-81, 2019
52019
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference
T Tambe, C Hooper, L Pentecost, T Jia, EY Yang, M Donato, V Sanh, ...
arXiv preprint arXiv:2011.14203, 2020
22020
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP
T Tambe, C Hooper, L Pentecost, EY Yang, M Donato, V Sanh, AM Rush, ...
arXiv e-prints, arXiv: 2011.14203, 2020
22020
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM
B Plancher, CD Brumar, I Brumar, L Pentecost, S Rama, D Brooks
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019
22019
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories
MM Sharifi, L Pentecost, R Rajaei, A Kazemi, Q Lou, GY Wei, D Brooks, ...
arXiv preprint arXiv:2106.11757, 2021
12021
CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance
L Pentecost, U Gupta, E Ngan, J Beyer, GY Wei, D Brooks, M Behrisch
2019 IEEE/ACM International Workshop on Programming and Performance …, 2019
12019
A creative first assignment in the modern graphics pipeline
E Fourquet, L Pentecost
Proceedings of the 39th Annual European Association for Computer Graphics …, 2018
12018
Accelerating dynamically typed languages with a virtual function cache
L Pentecost, J Stratton
Proceedings of the 2nd International Workshop on Hardware-Software Co-Design …, 2015
12015
Analytically Modeling NVM Design Trade-Offs
L Pentecost, M Donato, A Sriraman, GY Wei, D Brooks
1
Logic Compatible High-Performance Ferroelectric Transistor Memory
S Dutta, H Ye, A Khanna, YC Luo, L Pentecost, AA Khandker, ...
arXiv preprint arXiv:2105.11078, 2021
2021
Introducing Programming Concepts via A Social History of Computing
L Pentecost
Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021
2021
Measurement and Analysis of Electron Cloud Induced Emittance Growth at CesrTA
K Sonnad, L Bartnik, M Billing, G Dugan, J Flanagan, M Forster, ...
6th Int. Particle Accelerator Conf.(IPAC'15), Richmond, VA, USA, May 3-8 …, 2015
2015
Quantifying the impact of data encoding on DNN fault tolerance
E Pyne, L Pentecost, U Gupta, GY Wei, D Brooks
MEASUREMENT AND SIMULATION OF ELECTRON CLOUD INDUCED EMITTANCE GROWTH AT CESRTA
L Pentecost, NY Hamilton, L Bartnik, M Billing, M Forster, GD CLASSE
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Articles 1–20