| A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53, to eFPGA, and Cache-Coherent Accelerators PN Whatmough, SK Lee, M Donato, HC Hsueh, SL Xi, U Gupta, ... IEEE Symposium on VLSI Circuits (VLSIC), 2019 | 39 | 2019 |
| 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 … T Tambe, ... 2021 IEEE International Solid-State Circuits Conference, 2021 | 34 | 2021 |
| CHIPKIT: An agile, reusable open-source framework for rapid test chip development PN Whatmough, M Donato, GG Ko, SK Lee, D Brooks, GY Wei IEEE Micro 40 (4), 32-40, 2020 | 21 | 2020 |
| Stereophonic spectrogram segmentation using Markov random fields M Kim, P Smaragdis, GG Ko, RA Rutenbar 2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012 | 18 | 2012 |
| INT2. 1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation Y Chai, J Gkountouras, GG Ko, D Brooks, GY Wei arXiv preprint arXiv:2306.08162, 2023 | 15 | 2023 |
| SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators SK Lee, PN Whatmough, M Donato, GG Ko, D Brooks, GY Wei IEEE Journal of Solid-State Circuits 57 (2), 639-650, 2021 | 15 | 2021 |
| SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators SK Lee, PN Whatmough, M Donato, GG Ko, D Brooks, GY Wei IEEE Journal of Solid-State Circuits 57 (2), 639-650, 2021 | 15 | 2021 |
| 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, 2022 | 12 | 2022 |
| 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, ... IEEE International Symposium on VLSI Circuits (VLSIC), 2020 | 12 | 2020 |
| Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling GG Ko, Y Chai, RA Rutenbar, D Brooks, GY Wei International Conference on Field-Programmable Logic and Applications (FPL), 2019 | 12 | 2019 |
| A case study of machine learning hardware: Real-time source separation using Markov random fields via sampling-based inference GG Ko, RA Rutenbar 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 12 | 2017 |
| Demystifying Bayesian Inference Workloads YE Wang, Y Zhu, GG Ko, B Reagen, GY Wei, D Brooks 2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019 | 10 | 2019 |
| FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs GG Ko, Y Chai, RA Rutenbar, D Brooks, GY Wei 2019 IEEE International Symposium On Field-Programmable Custom Computing …, 2019 | 10 | 2019 |
| Real-time and low-power streaming source separation using markov random field GG Ko, RA Rutenbar ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-22, 2018 | 8 | 2018 |
| 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 … T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... IEEE, 2021 | 5 | 2021 |
| CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators Y Chai, GG Ko, L Bailey, D Brooks, GY Wei 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 4 | 2022 |
| 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 |
| 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 |
| EMERALD: Characterization of emerging applications and algorithms for low-power devices C Zhang, GG Ko, JW Choi, S Tsai, M Kim, AG Rivera, R Rutenbar, ... 2013 IEEE International Symposium on Performance Analysis of Systems and …, 2013 | 2 | 2013 |
| SpeedLimit: Neural Architecture Search for Quantized Transformer Models Y Chai, L Bailey, Y Jin, G Ko, M Karle, D Brooks, GY Wei, H Kung Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | | 2023 |
