| Squeezellm: Dense-and-sparse quantization S Kim, C Hooper, A Gholami, Z Dong, X Li, S Shen, MW Mahoney, ... arXiv preprint arXiv:2306.07629, 2023 | 165 | 2023 |
| 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 | 122 | 2021 |
| Kvquant: Towards 10 million context length llm inference with kv cache quantization C Hooper, S Kim, H Mohammadzadeh, MW Mahoney, YS Shao, ... arXiv preprint arXiv:2401.18079, 2024 | 111* | 2024 |
| Full stack optimization of transformer inference: a survey S Kim, C Hooper, T Wattanawong, M Kang, R Yan, H Genc, G Dinh, ... arXiv preprint arXiv:2302.14017, 2023 | 103 | 2023 |
| S-lora: Serving thousands of concurrent lora adapters Y Sheng, S Cao, D Li, C Hooper, N Lee, S Yang, C Chou, B Zhu, L Zheng, ... arXiv preprint arXiv:2311.03285, 2023 | 84 | 2023 |
| AI and memory wall A Gholami, Z Yao, S Kim, C Hooper, MW Mahoney, K Keutzer IEEE Micro, 2024 | 75 | 2024 |
| 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 | 42 | 2021 |
| Speed: Speculative pipelined execution for efficient decoding C Hooper, S Kim, H Mohammadzadeh, H Genc, K Keutzer, A Gholami, ... arXiv preprint arXiv:2310.12072, 2023 | 22 | 2023 |
| 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 | 18 | 2023 |
| 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 | 18 | 2022 |
| Tinyagent: Function calling at the edge LE Erdogan, N Lee, S Jha, S Kim, R Tabrizi, S Moon, C Hooper, ... arXiv preprint arXiv:2409.00608, 2024 | 7 | 2024 |
| Property-aware multi-speaker data simulation: A probabilistic modelling technique for synthetic data generation TJ Park, H Huang, C Hooper, N Koluguri, K Dhawan, A Jukic, J Balam, ... arXiv preprint arXiv:2310.12371, 2023 | 7 | 2023 |
| Squeezed attention: Accelerating long context length llm inference C Hooper, S Kim, H Mohammadzadeh, M Maheswaran, J Paik, ... arXiv preprint arXiv:2411.09688, 2024 | 2 | 2024 |
| Learned Best-Effort LLM Serving S Jha, C Hooper, X Liu, S Kim, K Keutzer arXiv preprint arXiv:2401.07886, 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 |
| Quantifying and maximizing the benefits of back-end noise adaption on attention-based speech recognition models C Hooper, T Tambe, GY Wei arXiv preprint arXiv:2105.01134, 2021 | 1 | 2021 |
| Full Stack Optimization of Transformer Inference S Kim, C Hooper, T Wattanawong, M Kang, R Yan, H Genc, G Dinh, ... Architecture and System Support for Transformer Models (ASSYST@ ISCA 2023), 2023 | | 2023 |
| Quantization Methods for Efficient ML Inference S Kim, C Hooper, Z Dong, X Li, S Shen, M Mahoney, K Keutzer | | |
| Combining observations and simulations into improved assessments of tidal resources R Karsten, G Trowse, A Bharath, C Hooper, J Locke, M Guerra&6, ... PAN AMERICAN MARINE ENERGY CONFERENCE PAMEC 2020, 6, 0 | | |
