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Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning

Oct 19, 2021
Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu

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Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

Sep 29, 2021
Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu

* This work appears at the 30th International Conference on Parallel Architectures and Compilation Techniques (PACT 2021). arXiv admin note: substantial text overlap with arXiv:2103.00768 

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Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload

Sep 08, 2021
Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Antonio Miele, Onur Mutlu, Juha Plosila

* Accepted to be published on 2021 International Conference on Intelligent Robots and Systems (IROS) 

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GateKeeper-GPU: Fast and Accurate Pre-Alignment Filtering in Short Read Mapping

Mar 31, 2021
Zülal Bingöl, Mohammed Alser, Onur Mutlu, Ozcan Ozturk, Can Alkan

* 26 pages 

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GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra

Mar 05, 2021
Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beranek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Ozdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Pavel Kalvoda, Marek Konieczny, Onur Mutlu, Torsten Hoefler

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Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models

Mar 01, 2021
Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu

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COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model

Feb 06, 2021
Mohammed Alser, Jeremie S. Kim, Nour Almadhoun Alserr, Stefan W. Tell, Onur Mutlu

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Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

Jan 04, 2021
Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi

* IEEE Design and Test (Volume: 37, Issue: 2, April 2020): 30-57 
* Final version appears in 

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An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration

May 04, 2020
Behzad Salami, Erhan Baturay Onural, Ismail Emir Yuksel, Fahrettin Koc, Oguz Ergin, Adrian Cristal Kestelman, Osman S. Unsal, Hamid Sarbazi-Azad, Onur Mutlu

* To appear in the DSN 2020 conference 

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EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM

Oct 12, 2019
Skanda Koppula, Lois Orosa, Abdullah Giray Yağlıkçı, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu

* This work is to appear at MICRO 2019 

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The Non-IID Data Quagmire of Decentralized Machine Learning

Oct 01, 2019
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons

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Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)

Mar 28, 2019
Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang

* PVLDB, 2019 
* 18 pages 

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Focus: Querying Large Video Datasets with Low Latency and Low Cost

Jan 10, 2018
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodik, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu

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