Search Results - Lokhmotov, Anton

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  1. 1
    On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond

    On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond by Labini, Paolo Sylos, Cianfriglia, Marco, Perri, Damiano, Gervasi, Osvaldo, Fursin, Grigori, Lokhmotov, Anton, Nugteren, Cedric, Carpentieri, Bruno, Zollo, Fabiana, Vella, Flavio

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  2. 2
    Collective Knowledge: Towards R&D sustainability

    Collective Knowledge: Towards R&D sustainability by Fursin, Grigori, Lokhmotov, Anton, Plowman, Ed

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  3. 3
    Collective Mind: Towards Practical and Collaborative Auto-Tuning

    Collective Mind: Towards Practical and Collaborative Auto-Tuning by Fursin, Grigori, Miceli, Renato, Lokhmotov, Anton, Gerndt, Michael, Baboulin, Marc, Malony, Allen D., Chamski, Zbigniew, Novillo, Diego, Del Vento, Davide

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  4. 4
    Collective mind: Towards practical and collaborative auto-tuning

    Collective mind: Towards practical and collaborative auto-tuning by Fursin, Grigori, Miceli, Renato, Lokhmotov, Anton, Gerndt, Michael, Baboulin, Marc, Malony, Allen D., Chamski, Zbigniew, Novillo, Diego, Vento, Davide Del

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  5. 5
    GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication

    GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication by Lokhmotov, Anton

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  6. 6
    Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve

    Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve by Vitali, Emanuele, Lokhmotov, Anton, Palermo, Gianluca

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  7. 7
    A model-driven approach for a new generation of adaptive libraries

    A model-driven approach for a new generation of adaptive libraries by Cianfriglia, Marco, Vella, Flavio, Nugteren, Cedric, Lokhmotov, Anton, Fursin, Grigori

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  8. 8
    Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

    Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments by Moreau, Thierry, Lokhmotov, Anton, Fursin, Grigori

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  9. 9
    MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI

    MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI by Arya Tschand, Arun Tejusve Raghunath Rajan, Idgunji, Sachin, Ghosh, Anirban, Holleman, Jeremy, Kiraly, Csaba, Ambalkar, Pawan, Borkar, Ritika, Chukka, Ramesh, Cockrell, Trevor, Curtis, Oliver, Fursin, Grigori, Hodak, Miro, Kassa, Hiwot, Lokhmotov, Anton, Miskovic, Dejan, Pan, Yuechao, Manu Prasad Manmathan, Raymond, Liz, Tom St John, Suresh, Arjun, Taubitz, Rowan, Zhan, Sean, Wasson, Scott, Kanter, David, Reddi, Vijay Janapa

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  10. 10
    A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques

    A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques by Fursin, Grigori, Lokhmotov, Anton, Savenko, Dmitry, Upton, Eben

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  11. 11
    Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015)

    Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015) by Hannig, Frank, Fey, Dietmar, Lokhmotov, Anton

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  12. 12
    Benchmarking TinyML Systems: Challenges and Direction

    Benchmarking TinyML Systems: Challenges and Direction by Banbury, Colby R, Reddi, Vijay Janapa, Lam, Max, Fu, William, Fazel, Amin, Holleman, Jeremy, Huang, Xinyuan, Hurtado, Robert, Kanter, David, Lokhmotov, Anton, Patterson, David, Pau, Danilo, Jae-sun, Seo, Sieracki, Jeff, Thakker, Urmish, Verhelst, Marian, Yadav, Poonam

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  13. 13
    Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science

    Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science by Fursin, Grigori, Memon, Abdul, Guillon, Christophe, Lokhmotov, Anton

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  14. 14
    MLPerf Inference Benchmark

    MLPerf Inference Benchmark by Reddi, Vijay Janapa, Cheng, Christine, Kanter, David, Mattson, Peter, Guenther Schmuelling, Carole-Jean Wu, Anderson, Brian, Breughe, Maximilien, Charlebois, Mark, Chou, William, Chukka, Ramesh, Coleman, Cody, Davis, Sam, Deng, Pan, Diamos, Greg, Duke, Jared, Fick, Dave, Gardner, J Scott, Hubara, Itay, Idgunji, Sachin, Jablin, Thomas B, Jiao, Jeff, Tom St John, Kanwar, Pankaj, Lee, David, Liao, Jeffery, Lokhmotov, Anton, Massa, Francisco, Meng, Peng, Micikevicius, Paulius, Osborne, Colin, Pekhimenko, Gennady, Arun Tejusve Raghunath Rajan, Sequeira, Dilip, Sirasao, Ashish, Sun, Fei, Tang, Hanlin, Thomson, Michael, Wei, Frank, Wu, Ephrem, Xu, Lingjie, Yamada, Koichi, Yu, Bing, Yuan, George, Zhong, Aaron, Zhang, Peizhao, Zhou, Yuchen

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  15. 15
    PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs

    PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs by Baghdadi, Riyadh, Cohen, Albert, Guelton, Serge, Verdoolaege, Sven, Inoue, Jun, Grosser, Tobias, Kouveli, Georgia, Kravets, Alexey, Lokhmotov, Anton, Nugteren, Cedric, Waters, Fraser, Donaldson, Alastair F

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