Lillian Pentecost

24 papers A* 5A 2B 2Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COFFEE: A Carbon-Modeling and Optimization Framework for HZO-based FeFET eNVMs. CoRR Hongbang Wu, Xuesi Chen, Shubham Jadhav, Amit Lal, Lillian Pentecost, Udit Gupta
2026	J	`jnl`	RoboPrec: Enabling Reliable Embedded Computing for Robotics by Providing Accuracy Guarantees Across Mixed-Precision Datatypes. IEEE Robotics Autom. Lett. Alp Eren Yilmaz, Thomas Bourgeat, Lillian Pentecost, Brian Plancher, Sabrina M. Neuman
2023	—	`conf`	CompressionGPT: Evaluating Fault Tolerance of a Compressed Large Language Model. IISWC Neil Kapur, America Rangel, Lillian Pentecost
2023	B	`conf`	Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. ISPASS Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei
2023	—	`conf`	NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs). IISWC Sandesh Ghimire, Shinsaku Kataoka, Lillian Pentecost
2022	A*	`conf`	NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. HPCA Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2021	A	`conf`	Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. ISLPED 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
2021	J	`jnl`	Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. CoRR 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
2021	A*	`conf`	EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO 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
2021	A	`conf`	Introducing Programming Concepts via A Social History of Computing. SIGCSE Lillian Pentecost
2021	J	`jnl`	NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. CoRR Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2020	J	`jnl`	EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. CoRR Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	—	`conf`	MLPerf Training Benchmark. MLSys 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
2019	—	`conf`	A 16nm 25mm VLSI Circuits 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
2019	—	`conf`	Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. HPEC Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks
2019	—	`conf`	CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. ProTools@SC Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch
2019	B	`conf`	MASR: A Modular Accelerator for Sparse RNNs. PACT Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2019	J	`jnl`	MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. IEEE Micro Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei
2019	J	`jnl`	MLPerf Training Benchmark. CoRR 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
2019	A*	`conf`	MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. MICRO Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks
2018	—	`conf`	A Creative First Assignment in the Modern Graphics Pipeline. Eurographics (Education Papers) Elodie Fourquet, Lillian Pentecost
2018	A*	`conf`	Ares: a framework for quantifying the resilience of deep neural networks. DAC Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei
2018	A*	`conf`	On-chip deep neural network storage with multi-level eNVM. DAC Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei
2015	—	`conf`	Accelerating dynamically typed languages with a virtual function cache. Co-HPC@SC Lillian Pentecost, John A. Stratton