Lillian Pentecost

According to our database, Lillian Pentecost authored at least 22 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RoboPrec: Enabling Reliable Embedded Computing for Robotics by Providing Accuracy Guarantees Across Mixed-Precision Datatypes.

Alp Eren Yilmaz, Thomas Bourgeat, Lillian Pentecost, Brian Plancher, Sabrina M. Neuman

IEEE Robotics Autom. Lett., February, 2026

COFFEE: A Carbon-Modeling and Optimization Framework for HZO-based FeFET eNVMs.

Hongbang Wu, Xuesi Chen, Shubham Jadhav, Amit Lal, Lillian Pentecost, Udit Gupta

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2023

Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory.

Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

CompressionGPT: Evaluating Fault Tolerance of a Compressed Large Language Model.

Neil Kapur, America Rangel, Lillian Pentecost

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs).

Sandesh Ghimire, Shinsaku Kataoka, Lillian Pentecost

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022

NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories.

Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Introducing Programming Concepts via A Social History of Computing.

Lillian Pentecost

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.

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

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories.

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

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

2020

EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.

Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei

CoRR, 2020

MLPerf Training Benchmark.

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

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019

MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge.

Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei

IEEE Micro, 2019

MLPerf Training Benchmark.

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

CoRR, 2019

A 16nm 25mm² SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators.

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

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance.

Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2019

MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation.

Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM.

Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

MASR: A Modular Accelerator for Sparse RNNs.

Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

A Creative First Assignment in the Modern Graphics Pipeline.

Elodie Fourquet, Lillian Pentecost

Proceedings of the 39th Annual Conference of the European Association for Computer Graphics, 2018

Ares: a framework for quantifying the resilience of deep neural networks.

Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei

Proceedings of the 55th Annual Design Automation Conference, 2018

On-chip deep neural network storage with multi-level eNVM.

Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei

Proceedings of the 55th Annual Design Automation Conference, 2018

2015

Accelerating dynamically typed languages with a virtual function cache.

Lillian Pentecost, John A. Stratton

Proceedings of the 2nd International Workshop on Hardware-Software Co-Design for High Performance Computing, 2015