Publications

2021
Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul Whatmough, Alexander M. Rush, David Brooks, and Gu-Yeon Wei. 10/17/2021. “EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference” In IEEE/ACM International Symposium on Microarchitecture (MICRO 2021). tambe_edgebert_micro_2021.pdf
Bo-Yuan Huang*, Steven Lyubomirsky*, Thierry Tambe*, Yi Li, Mike He, Gus Smith, Gu-Yeon Wei, Aarti Gupta, Sharad Malik, and Zachary Tatlock. 4/2021. “From DSLs to Accelerator-rich Platform Implementations: Addressing the Mapping Gap.” In Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE'21). Publisher's Version
Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, and Vijay Janapa Reddi. 4/2021. “Robomorphic Computing: A Design Methodology for Domain-Specific Accelerators Parameterized by Robot Morphology.” In Architectural Support for Programming Languages and Operating Systems (ASPLOS'21). Publisher's Version
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, and Gu-Yeon Wei. 2/2021. “A 25mm2 SoC for IoT Devices with 18ms Noise Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET.” In International Solid-State Circuits Conference (ISSCC'21). tambe_isscc_2021_presentation.pdf
2020
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, and Gu-Yeon Wei. 8/2020. “A Scalable Bayesian Inference Accelerator for Unsupervised Learning.” In IEEE Hot Chips 31 Symposium. Publisher's Version
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, and Gu-Yeon Wei. 7/2020. “Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference.” In Design Automation Conference (DAC'20), Best Paper Award. Publisher's Version
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, and Gu-Yeon Wei. 6/2020. “A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm.” In IEEE Symposium on VLSI Circuits. Publisher's Version
2019
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, and Gu-Yeon Wei. 11/2019. “AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference” arXiv (1909.13271). Publisher's Version
Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, and David Brooks. 9/2019. “MASR: A Modular Accelerator for Sparse RNNs.” In International Conference on Parallel Architectures and Compilation Techniques (PACT'19). Publisher's Version
2017
Marco Escalante, Thierry Tambe, Murshidul Islam, and Steven Poon. 8/2017. “ESD Shift-Left: Simulations for High-Performance Analog IPs.” Intel Design and Test Technology Conference.