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Glenn G. Ko

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

6

Venues

5

Active years

2013–2022

Best venue rank

A*

Where they publish

Papers

6 indexed papers, newest first.

YearVenueTitleAuthors
2022HPCACoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators.Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
2019FCCMFlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs.Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019FPLAccelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling.Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019ISPASSDemystifying Bayesian Inference Workloads.Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks
2017ICASSPA case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference.Glenn G. Ko, Rob A. Rutenbar
2013ISPASSEMERALD: Characterization of emerging applications and algorithms for low-power devices.Chuanjun Zhang, Glenn G. Ko, Jungwook Choi, Shang-nien Tsai, Minje Kim, Abner Guzmn-Rivera, Rob A. Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen