Thierry Tambe

According to our database, Thierry Tambe authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

Application-level Validation of Accelerator Designs Using a Formal Software/Hardware Interface.

Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Gus Henry Smith, Thierry Tambe, Akash Gaonkar, Vishal Canumalla, Andrew Cheung, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik

ACM Trans. Design Autom. Electr. Syst., March, 2024

14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration.

Maico Cassel dos Santos, Tianyu Jia, Joseph Zuckerman, Martin Cochet, Davide Giri, Erik Jens Loscalzo, Karthik Swaminathan, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Sarita V. Adve, Pradip Bose, David Brooks, Luca P. Carloni, Kenneth L. Shepard, Gu-Yeon Wei

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning.

Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs.

Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei

IEEE J. Solid State Circuits, February, 2023

CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning.

Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks

CoRR, 2023

A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management.

Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning.

Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi

IROS, 2023

2022

Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface.

Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Thierry Tambe, Gus Henry Smith, Akash Gaonkar, Vishal Canumalla, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik

CoRR, 2022

ASAP: automatic synthesis of area-efficient and precision-aware CGRAs.

Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators.

Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots.

Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi

CoRR, 2021

Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models.

Coleman Hooper, Thierry Tambe, Gu-Yeon Wei

CoRR, 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

9.8 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.

Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33^rd Hot Chips Symposium - August 22-24, 2021.

Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE Hot Chips 33 Symposium, 2021

Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology.

Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, Vijay Janapa Reddi

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 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

A 3mm² Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm.

Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE Symposium on VLSI Circuits, 2020

A Scalable Bayesian Inference Accelerator for Unsupervised Learning.

Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks

Proceedings of the IEEE Hot Chips 32 Symposium, 2020

Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference.

Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference.

Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei

CoRR, 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