Thierry Tambe
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
10
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | $\mathrm{P}^{3}$-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats. | Yuzong Chen, Chao Fang, Xilai Dai, Yuheng Wu, Thierry Tambe, Marian Verhelst, Mohamed S. Abdelfattah |
| 2025 | ICML | BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference. | Wonsuk Jang, Thierry Tambe |
| 2024 | HPCA | CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. | Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks |
| 2024 | ISLPED | JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. | Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks |
| 2023 | IROS | 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 |
| 2022 | DSN | GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators. | Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei |
| 2022 | ICS | 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 |
| 2021 | ASPLOS | 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 |
| 2021 | MICRO | 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 |
| 2020 | DAC | 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 |