| Edgebert: Sentence-level energy optimizations for latency-aware multi-task nlp inference T Tambe, C Hooper, L Pentecost, T Jia, EY Yang, M Donato, V Sanh, ... MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 96 | 2021 |
| Masr: A modular accelerator for sparse rnns U Gupta, B Reagen, L Pentecost, M Donato, T Tambe, AM Rush, GY Wei, ... 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 63 | 2019 |
| Algorithm-hardware co-design of adaptive floating-point encodings for resilient deep learning inference T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 62 | 2020 |
| Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology SM Neuman, B Plancher, T Bourgeat, T Tambe, S Devadas, VJ Reddi Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 44 | 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 … T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 158-160, 2021 | 37 | 2021 |
| Adaptivfloat: A floating-point based data type for resilient deep learning inference T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei arXiv preprint arXiv:1909.13271, 2019 | 29 | 2019 |
| A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm GG Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, ... 2020 IEEE Symposium on VLSI Circuits, 1-2, 2020 | 12 | 2020 |
| EdgeBERT: Optimizing On-chip inference for multi-task NLP T Tambe, C Hooper, L Pentecost, EY Yang, M Donato, V Sanh, AM Rush, ... arXiv preprint arXiv:2011.14203, 2020 | 12 | 2020 |
| A 16-nm soc for noise-robust speech and nlp edge ai inference with bayesian sound source separation and attention-based dnns T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... IEEE Journal of Solid-State Circuits 58 (2), 569-581, 2022 | 11 | 2022 |
| Autosoc: Automating algorithm-soc co-design for aerial robots S Krishnan, T Tambe, Z Wan, VJ Reddi arXiv preprint arXiv:2109.05683, 2021 | 10 | 2021 |
| Goldeneye: A platform for evaluating emerging numerical data formats in dnn accelerators A Mahmoud, T Tambe, T Aloui, D Brooks, GY Wei 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems …, 2022 | 9 | 2022 |
| 22.9 A 12nm 18.1 TFLOPs/W sparse transformer processor with entropy-based early exit, mixed-precision predication and fine-grained power management T Tambe, J Zhang, C Hooper, T Jia, PN Whatmough, J Zuckerman, ... 2023 IEEE International Solid-State Circuits Conference (ISSCC), 342-344, 2023 | 8 | 2023 |
| Specialized accelerators and compiler flows: Replacing accelerator apis with a formal software/hardware interface BY Huang, S Lyubomirsky, Y Li, M He, T Tambe, GH Smith, A Gaonkar, ... arXiv preprint arXiv 2203, 2022 | 8* | 2022 |
| ASAP: automatic synthesis of area-efficient and precision-aware CGRAs C Tan, T Tambe, J Zhang, B Fang, T Geng, GY Wei, D Brooks, A Tumeo, ... Proceedings of the 36th ACM International Conference on Supercomputing, 1-13, 2022 | 7 | 2022 |
| Study of posit numeric in speech recognition neural inference Z Wan, E Mibuari, EY Yang, T Tambe Harvard Univ., Cambridge, MA, USA, Tech. Rep. CS247r, 2018 | 6 | 2018 |
| Vapr: Variable-precision tensors to accelerate robot motion planning YS Hsiao, SKS Hari, B Sundaralingam, J Yik, T Tambe, C Sakr, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| A scalable bayesian inference accelerator for unsupervised learning G Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, GY Wei, ... 2020 IEEE Hot Chips 32 Symposium (HCS), 1-27, 2020 | 4 | 2020 |
| Camel: Co-designing ai models and embedded drams for efficient on-device learning SQ Zhang, T Tambe, N Cuevas, GY Wei, D Brooks arXiv preprint arXiv:2305.03148, 2023 | 3 | 2023 |
| A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management, and Flexible NoC-Based Data Orchestration MC Dos Santos, T Jia, J Zuckerman, M Cochet, D Giri, E Loscalzo, ... IEEE International Solid-State Circuits Conference, 2024 | 2 | 2024 |
| SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium – August 22-24, 2021 T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... 2021 IEEE Hot Chips 33 Symposium (HCS), 1-13, 2021 | 2 | 2021 |
