Lillian Pentecost

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Programming Concepts

Design Space Exploration

Fault Tolerance

Top Venues

Publications

Neil Kapur, America Rangel, Lillian Pentecost
CompressionGPT: Evaluating Fault Tolerance of a Compressed Large Language Model. IISWC (2023)
Sandesh Ghimire, Shinsaku Kataoka, Lillian Pentecost
NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs). IISWC (2023)
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)
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)
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)
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)
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 (2021)
Lillian Pentecost
Introducing Programming Concepts via A Social History of Computing. SIGCSE (2021)
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 (2021)
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 (2020)
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)
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)
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) (2019)
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 (2019)
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)
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)
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)
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
SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. VLSI Circuits (2019)
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)
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)
Elodie Fourquet, Lillian Pentecost
A Creative First Assignment in the Modern Graphics Pipeline. Eurographics (Education Papers) (2018)
Lillian Pentecost, John A. Stratton
Accelerating dynamically typed languages with a virtual function cache. Co-HPC@SC (2015)