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Demystifying Bayesian Inference Workloads.

Y. Wang, Y. Zhu, G. Ko, B. Reagen, G. Wei, and D. Brooks. ISPASS, page 177-189. IEEE, (2019)

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Eduardo Glenn Calvo

Andreas Glennemeier

Maria Helena Glennon-Charlier

Paul Artur Glenn

Jürgen Glenneberg

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Demystifying Bayesian Inference Workloads.Y. Wang, Y. Zhu, G. Ko, B. Reagen, G. Wei, and D. Brooks. ISPASS, page 177-189. IEEE, (2019)A case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference.G. Ko, and R. Rutenbar. ICASSP, page 2477-2481. IEEE, (2017)FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs.G. Ko, Y. Chai, R. Rutenbar, D. Brooks, and G. Wei. FCCM, page 334. IEEE, (2019)Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling.G. Ko, Y. Chai, R. Rutenbar, D. Brooks, and G. Wei. FPL, page 159-165. IEEE, (2019)A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm.G. Ko, Y. Chai, M. Donato, P. Whatmough, T. Tambe, R. Rutenbar, D. Brooks, and G. Wei. VLSI Circuits, page 1-2. IEEE, (2020)A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators.P. Whatmough, S. Lee, M. Donato, H. Hsueh, S. Xi, U. Gupta, L. Pentecost, G. Ko, D. Brooks, and G. Wei. VLSI Circuits, page 34-. IEEE, (2019)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 16nm FinFET.T. Tambe, E. Yang, G. Ko, Y. Chai, C. Hooper, M. Donato, P. Whatmough, A. Rush, D. Brooks, and G. Wei. ISSCC, page 158-160. IEEE, (2021)CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development.P. Whatmough, M. Donato, G. Ko, S. Lee, D. Brooks, and G. Wei. IEEE Micro, 40 (4): 32-40 (2020)EMERALD: Characterization of emerging applications and algorithms for low-power devices.C. Zhang, G. Ko, J. Choi, S. nien Tsai, M. Kim, A. Guzmán-Rivera, R. Rutenbar, P. Smaragdis, M. Park, V. Narayanan and 5 other author(s). ISPASS, page 122-123. IEEE Computer Society, (2013)A Scalable Bayesian Inference Accelerator for Unsupervised Learning.G. Ko, Y. Chai, M. Donato, P. Whatmough, T. Tambe, R. Rutenbar, G. Wei, and D. Brooks. Hot Chips Symposium, page 1-27. IEEE, (2020)

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Disambiguation of "Ko, Glenn G."

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Demystifying Bayesian Inference Workloads.

Please choose a person to relate this publication to

Eduardo Glenn Calvo

Andreas Glennemeier

Maria Helena Glennon-Charlier

Paul Artur Glenn

Jürgen Glenneberg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ko, Glenn G."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Demystifying Bayesian Inference Workloads.

Please choose a person to relate this publication to

Eduardo Glenn Calvo

Andreas Glennemeier

Maria Helena Glennon-Charlier

Paul Artur Glenn

Jürgen Glenneberg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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Demystifying Bayesian Inference Workloads.