Accelerating dynamically typed languages with a virtual function cache. - Lillian Pentecost; John A. Stratton (Co-HPC@SC, 2015)

On-chip deep neural network storage with multi-level eNVM. - Marco Donato; Brandon Reagen; Lillian Pentecost; Udit Gupta; David Brooks 001; Gu-Yeon Wei (DAC, 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 (DAC, 2018)

A Creative First Assignment in the Modern Graphics Pipeline. - Elodie Fourquet; Lillian Pentecost (Eurographics (Education Papers), 2018)

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 001 (PACT, 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 001 (HPEC, 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 001 (MICRO, 2019)

CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. - Lillian Pentecost; Udit Gupta; Elisa Ngan; Johanna Beyer; Gu-Yeon Wei; David Brooks 001; Michael Behrisch 001 (ProTools@SC, 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 (VLSI Circuits, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Cody Coleman; Greg Diamos; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (CoRR, 2019)

MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. - Marco Donato; Lillian Pentecost; David Brooks 001; Gu-Yeon Wei (IEEE Micro, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Gregory F. Diamos; Cody Coleman; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (MLSys, 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 001; Gu-Yeon Wei (CoRR, 2020)

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 004; X. Sharon Hu; Michael T. Niemier; Marco Donato (ISLPED, 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 001; Gu-Yeon Wei (MICRO, 2021)

Introducing Programming Concepts via A Social History of Computing. - Lillian Pentecost (SIGCSE, 2021)

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 001 (HPCA, 2022)

NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs). - Sandesh Ghimire; Shinsaku Kataoka; Lillian Pentecost (IISWC, 2023)

CompressionGPT: Evaluating Fault Tolerance of a Compressed Large Language Model. - Neil Kapur; America Rangel; Lillian Pentecost (IISWC, 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 001; Gu-Yeon Wei (ISPASS, 2023)