Thierry Tambe - RankMe

41 papers A* 5A 4B 1Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	31.9 Alpha-Vision: A Real-Time Always-on Vision Processor with 787µs Face Detection Latency in <5mW. ISSCC Ben Keller, Rangharajan Venkatesan, Steve Dai, Jason Clemons, Matthew Fojtik, Muya Chang, Thierry Tambe, Nathaniel Ross Pinckney, Stephen G. Tell, Qijing Huang, Shalini De Mello, Brucek Khailany
2026	J	`jnl`	EPOCHS-1: A 12 nm Highly Heterogeneous Open-Source SoC With Distributed Coin-Based Power Management and Integrated Hybrid Voltage Regulation. IEEE J. Solid State Circuits Joseph Zuckerman, Martin Cochet, Maico Cassel dos Santos, Erik Jens Loscalzo, Karthik Swaminathan, Tianyu Jia, Davide Giri, 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, Samira Zaliasl, Michael Lekas, Stephen Cahill, Hesam Sadeghi, Joseph Meyer, Noah Sturcken, Sarita V. Adve, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Pradip Bose, Luca P. Carloni
2026	J	`jnl`	Heterogeneous Memory Design Exploration for AI Accelerators with a Gain Cell Memory Compiler. CoRR Xinxin Wang, Lixian Yan, Shuhan Liu, Luke Upton, Zhuoqi Cai, Yiming Tan, Shengman Li, Koustav Jana, Peijing Li, Jesse Cirimelli-Low, Thierry Tambe, Matthew Guthaus, H.-S. Philip Wong
2026	J	`jnl`	LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation. CoRR Yuheng Wu, Berk Gokmen, Zhouhua Xie, Peijing Li, Caroline Trippel, Priyanka Raina, Thierry Tambe
2026	J	`jnl`	SemanticDialect: Semantic-Aware Mixed-Format Quantization for Video Diffusion Transformers. CoRR Wonsuk Jang, Thierry Tambe
2025	J	`jnl`	AttAnchor: Guiding Cross-Modal Token Alignment in VLMs with Attention Anchors. CoRR Junyang Zhang, Tianyi Zhu, Thierry Tambe
2025	A*	`conf`	BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference. ICML Wonsuk Jang, Thierry Tambe
2025	J	`jnl`	BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference. CoRR Wonsuk Jang, Thierry Tambe
2025	J	`jnl`	GainSight: Application-Guided Profiling for Composing Heterogeneous On-Chip Memories in AI Hardware Accelerators. CoRR Peijing Li, Matthew Hung, Yiming Tan, Konstantin Hoßfeld, Jake Cheng Jiajun, Shuhan Liu, Lixian Yan, Xinxin Wang, H.-S. Philip Wong, Thierry Tambe
2025	J	`jnl`	On the Role of Temperature Sampling in Test-Time Scaling. CoRR Yuheng Wu, Azalia Mirhoseini, Thierry Tambe
2025	J	`jnl`	OpenGCRAM: An Open-Source Gain Cell Compiler Enabling Design-Space Exploration for AI Workloads. CoRR Xinxin Wang, Lixian Yan, Shuhan Liu, Luke Upton, Zhuoqi Cai, Yiming Tan, Shengman Li, Koustav Jana, Peijing Li, Jesse Cirimelli-Low, Thierry Tambe, Matthew Guthaus, H.-S. Philip Wong
2025	J	`jnl`	P3-LLM: An Integrated NPU-PIM Accelerator for LLM Inference Using Hybrid Numerical Formats. CoRR Yuzong Chen, Chao Fang, Xilai Dai, Yuheng Wu, Thierry Tambe, Marian Verhelst, Mohamed S. Abdelfattah
2025	J	`jnl`	The Future of Memory: Limits and Opportunities. CoRR Samuel Dayo, Shuhan Liu, Peijing Li, Philip Levis, Subhasish Mitra, Thierry Tambe, David Tennenhouse, H.-S. Philip Wong
2025	J	`jnl`	Token Sequence Compression for Efficient Multimodal Computing. CoRR Yasmine Omri, Parth Shroff, Thierry Tambe
2025	—	`conf`	Towards Memory Specialization: A Case for Long-Term and Short-Term RAM. DIMES@SOSP Peijing Li, Muhammad Shahir Abdurrahman, Rachel Cleaveland, Sergey Legtchenko, Philip Levis, Ioan A. Stefanovici, Thierry Tambe, David Tennenhouse, Caroline Trippel, H.-S. Philip Wong
2025	J	`jnl`	Towards Memory Specialization: A Case for Long-Term and Short-Term RAM. CoRR Peijing Li, Muhammad Shahir Abdurrahman, Rachel Cleaveland, Sergey Legtchenko, Philip Levis, Ioan A. Stefanovici, Thierry Tambe, David Tennenhouse, Caroline Trippel
2025	J	`jnl`	Vision-Language Alignment from Compressed Image Representations using 2D Gaussian Splatting. CoRR Yasmine Omri, Connor Ding, Tsachy Weissman, Thierry Tambe
2024	—	`conf`	14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration. ISSCC 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
2024	J	`jnl`	Application-level Validation of Accelerator Designs Using a Formal Software/Hardware Interface. ACM Trans. Design Autom. Electr. Syst. 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
2024	A*	`conf`	CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. HPCA Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2024	A	`conf`	JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. ISLPED Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks
2023	—	`conf`	A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC 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
2023	J	`jnl`	A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits 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
2023	J	`jnl`	CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning. CoRR Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2023	A	`conf`	VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. IROS Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
2023	J	`jnl`	VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. CoRR Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
2022	A	`conf`	ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. ICS Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2022	A	`conf`	GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators. DSN Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei
2022	J	`jnl`	Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface. CoRR 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
2021	—	`conf`	9.8 A 25mm ISSCC 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
2021	J	`jnl`	AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. CoRR Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi
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	J	`jnl`	Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models. CoRR Coleman Hooper, Thierry Tambe, Gu-Yeon Wei
2021	A*	`conf`	Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. ASPLOS Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, Vijay Janapa Reddi
2021	—	`conf`	SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33 HCS 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
2020	—	`conf`	A 3mm VLSI Circuits Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2020	—	`conf`	A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
2020	A*	`conf`	Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
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
2019	J	`jnl`	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
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