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Michael LeBeane

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2020 – today

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2021
[c16]
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  - conf/micro/KotraLKL21
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Jagadish B. Kotra, Michael LeBeane, Mahmut T. Kandemir, Gabriel H. Loh:
Increasing GPU Translation Reach by Leveraging Under-Utilized On-Chip Resources. MICRO 2021: 1169-1181
2020
[c15]
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Khaled Hamidouche, Michael LeBeane:
GPU initiated OpenSHMEM: correct and efficient intra-kernel networking for dGPUs. PPoPP 2020: 336-347

2010 – 2019

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2019
[c14]
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  - conf/iiswc/AlsopZYBSBDGKLP19
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Johnathan Alsop, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Brandon Potter, Sooraj Puthoor:
Optimizing GPU Cache Policies for MI Workloads. IISWC 2019: 243-248
[i1]
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Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann:
Optimizing GPU Cache Policies for MI Workloads. CoRR abs/1910.00134 (2019)
2018
[c13]
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Michael LeBeane, Khaled Hamidouche, Brad Benton, Maurício Breternitz, Steven K. Reinhardt, Lizy K. John:
ComP-net: command processor networking for efficient intra-kernel communications on GPUs. PACT 2018: 29:1-29:13
[c12]
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Shomit Das, Michael LeBeane, Bradford M. Beckmann, Greg Sadowski:
Case Study of Process Variation-Based Domain Partitioning of GPGPUs. ASYNC 2018: 119-120
[c11]
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Anthony Gutierrez, Bradford M. Beckmann, Alexandru Dutu, Joseph Gross, Michael LeBeane, John Kalamatianos, Onur Kayiran, Matthew Poremba, Brandon Potter, Sooraj Puthoor, Matthew D. Sinclair, Mark Wyse, Jieming Yin, Xianwei Zhang, Akshay Jain, Timothy G. Rogers:
Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level. HPCA 2018: 608-619
[c10]
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Seunghee Shin, Michael LeBeane, Yan Solihin, Arkaprava Basu:
Neighborhood-Aware Address Translation for Irregular GPU Applications. MICRO 2018: 352-363
2017
[c9]
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Michael LeBeane, Khaled Hamidouche, Brad Benton, Maurício Breternitz, Steven K. Reinhardt, Lizy K. John:
GPU triggered networking for intra-kernel communications. SC 2017: 22
2016
[c8]
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Shuang Song, Meng Li, Xinnian Zheng, Michael LeBeane, Jee Ho Ryoo, Reena Panda, Andreas Gerstlauer, Lizy K. John:
Proxy-Guided Load Balancing of Graph Processing Workloads on Heterogeneous Clusters. ICPP 2016: 77-86
[c7]
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Reena Panda, Xinnian Zheng, Shuang Song, Jee Ho Ryoo, Michael LeBeane, Andreas Gerstlauer, Lizy K. John:
Genesys: Automatically generating representative training sets for predictive benchmarking. SAMOS 2016: 116-123
[c6]
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Michael LeBeane, Brandon Potter, Abhisek Pan, Alexandru Dutu, Vinay Agarwala, Wonchan Lee, Deepak Majeti, Bibek Ghimire, Eric Van Tassell, Samuel Wasmundt, Brad Benton, Maurício Breternitz, Michael L. Chu, Mithuna Thottethodi, Lizy K. John, Steven K. Reinhardt:
Extended task queuing: active messages for heterogeneous systems. SC 2016: 933-944
2015
[c5]
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Jee Ho Ryoo, Saddam Jamil Quirem, Michael LeBeane, Reena Panda, Shuang Song, Lizy K. John:
GPGPU Benchmark Suites: How Well Do They Sample the Performance Spectrum? ICPP 2015: 320-329
[c4]
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  - conf/sbac-pad/LeBeaneRPJ15
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Michael LeBeane, Jee Ho Ryoo, Reena Panda, Lizy Kurian John:
Watt Watcher: Fine-Grained Power Estimation for Emerging Workloads. SBAC-PAD 2015: 106-113
[c3]
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Reena Panda, Christopher Erb, Michael LeBeane, Jee Ho Ryoo, Lizy Kurian John:
Performance Characterization of Modern Databases on Out-of-Order CPUs. SBAC-PAD 2015: 114-121
[c2]
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Michael LeBeane, Shuang Song, Reena Panda, Jee Ho Ryoo, Lizy K. John:
Data partitioning strategies for graph workloads on heterogeneous clusters. SC 2015: 56:1-56:12
2014
[c1]
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Jee Ho Ryoo, Michael LeBeane, Muhammad Faisal Iqbal, Lizy K. John:
Control flow behavior of cloud workloads. IISWC 2014: 71-73

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