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ORCIDLillian Pentecost
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2020 – today
- 2023
[c17]Sandesh Ghimire, Shinsaku Kataoka, Lillian Pentecost:
NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs). IISWC 2023: 229-231- [c16]Neil Kapur, America Rangel, Lillian Pentecost:
CompressionGPT: Evaluating Fault Tolerance of a Compressed Large Language Model. IISWC 2023: 232-234 - [c15]Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei:
Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. ISPASS 2023: 134-144 - 2022
- [c14]Lillian Pentecost
, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks:
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. HPCA 2022: 938-956 - 2021
- [c13]Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato:
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. ISLPED 2021: 1-6 - [c12]Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO 2021: 830-844 - [c11]Lillian Pentecost:
Introducing Programming Concepts via A Social History of Computing. SIGCSE 2021: 1256 - [i4]Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato:
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. CoRR abs/2106.11757 (2021) - [i3]Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks:
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. CoRR abs/2109.01188 (2021) - 2020
- [c10]Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. MLSys 2020 - [i2]Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. CoRR abs/2011.14203 (2020)
2010 – 2019
- 2019
- [j1]Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei:
MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. IEEE Micro 39(6): 73-81 (2019) - [c9]Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks:
MASR: A Modular Accelerator for Sparse RNNs. PACT 2019: 1-14 - [c8]Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks:
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. HPEC 2019: 1-7 - [c7]Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks:
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. MICRO 2019: 769-781 - [c6]Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch:
CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. ProTools@SC 2019: 55-61 - [c5]Paul N. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh, Sam Likun Xi, Udit Gupta, Lillian Pentecost, Glenn G. Ko, David M. Brooks, Gu-Yeon Wei:
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. VLSI Circuits 2019: 34- - [i1]Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. CoRR abs/1910.01500 (2019) - 2018
- [c4]Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei:
Ares: a framework for quantifying the resilience of deep neural networks. DAC 2018: 17:1-17:6 - [c3]Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei:
On-chip deep neural network storage with multi-level eNVM. DAC 2018: 169:1-169:6 - [c2]Elodie Fourquet, Lillian Pentecost:
A Creative First Assignment in the Modern Graphics Pipeline. Eurographics (Education Papers) 2018: 43-46 - 2015
- [c1]Lillian Pentecost, John A. Stratton:
Accelerating dynamically typed languages with a virtual function cache. Co-HPC@SC 2015: 3:1-3:6
Coauthor Index
aka: David M. Brooks
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