Anton Lokhmotov

34 papers A* 2A 1B 3Journal 13Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. HPCA Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Király, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi
2024	J	`jnl`	MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI. CoRR Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Király, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi
2021	—	`conf`	Dynamic Network Selection for the Object Detection Task: Why It Matters and What We (Didn't) Achieve. SAMOS Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo
2021	J	`jnl`	Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve. CoRR Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo
2021	J	`jnl`	On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond. ACM Trans. Archit. Code Optim. Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri, Osvaldo Gervasi, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo, Flavio Vella
2020	J	`jnl`	Benchmarking TinyML Systems: Challenges and Direction. CoRR Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav
2020	A*	`conf`	MLPerf Inference Benchmark. ISCA Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2019	J	`jnl`	MLPerf Inference Benchmark. CoRR Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2018	J	`jnl`	A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques. CoRR Grigori Fursin, Anton Lokhmotov, Dmitry Savenko, Eben Upton
2018	J	`jnl`	A model-driven approach for a new generation of adaptive libraries. CoRR Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
2018	J	`jnl`	Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments. CoRR Thierry Moreau, Anton Lokhmotov, Grigori Fursin
2018	—	`conf`	Multi-objective autotuning of MobileNets across the full software/hardware stack. ReQuEST@ASPLOS Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin
2018	—	`ed.`	Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, ReQuEST@ASPLOS 2018, Williamsburg, VA, USA, March 24, 2018 ReQuEST@ASPLOS Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell
2016	—	`conf`	Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework. IWOCL Anton Lokhmotov, Grigori Fursin
2016	A	`conf`	Collective Knowledge: Towards R&D sustainability. DATE Grigori Fursin, Anton Lokhmotov, Ed Plowman
2016	—	`conf`	Optimizing convolutional neural networks on embedded platforms with OpenCL. IWOCL Anton Lokhmotov, Grigori Fursin
2015	J	`jnl`	Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science. CoRR Grigori Fursin, Abdul Wahid Memon, Christophe Guillon, Anton Lokhmotov
2015	J	`jnl`	GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication. CoRR Anton Lokhmotov
2015	B	`conf`	PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming. PACT Riyadh Baghdadi, Ulysse Beaugnon, Albert Cohen, Tobias Grosser, Michael Kruse, Chandan Reddy, Sven Verdoolaege, Adam Betts, Alastair F. Donaldson, Jeroen Ketema, Javed Absar, Sven van Haastregt, Alexey Kravets, Anton Lokhmotov, Robert David, Elnar Hajiyev
2015	J	`jnl`	Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015). CoRR Frank Hannig, Dietmar Fey, Anton Lokhmotov
2014	J	`jnl`	Collective mind: Towards practical and collaborative auto-tuning. Sci. Program. Grigori Fursin, Renato Miceli, Anton Lokhmotov, Michael Gerndt, Marc Baboulin, Allen D. Malony, Zbigniew Chamski, Diego Novillo, Davide Del Vento
2014	B	`conf`	VOBLA: a vehicle for optimized basic linear algebra. LCTES Ulysse Beaugnon, Alexey Kravets, Sven van Haastregt, Riyadh Baghdadi, David Tweed, Javed Absar, Anton Lokhmotov
2013	J	`jnl`	PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs CoRR Riyadh Baghdadi, Albert Cohen, Serge Guelton, Sven Verdoolaege, Jun Inoue, Tobias Grosser, Georgia Kouveli, Alexey Kravets, Anton Lokhmotov, Cedric Nugteren, Fraser Waters, Alastair F. Donaldson
2011	—	`conf`	Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation. GPGPU Dominik Grewe, Anton Lokhmotov
2010	—	`conf`	Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures. HiPEAC Alexander Monakov, Anton Lokhmotov, Arutyun Avetisyan
2010	—	`conf`	Generating GPU Code from a High-Level Representation for Image Processing Kernels. Euro-Par Workshops (1) Richard Membarth, Anton Lokhmotov, Jürgen Teich
2009	—	`conf`	Deriving Efficient Data Movement from Decoupled Access/Execute Specifications. HiPEAC Lee W. Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H. J. Kelly
2009	—	`conf`	Towards Metaprogramming for Parallel Systems on a Chip. Euro-Par Workshops Lee W. Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H. J. Kelly
2008	—	`conf`	Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor. Euro-Par Workshops Alastair F. Donaldson, Paul Keir, Anton Lokhmotov
2008	—	`—`	Programming and compiling for embedded SIMD architectures. Anton Lokhmotov
2007	—	`conf`	Auto-parallelisation of Sieve C++ Programs. Euro-Par Workshops Alastair F. Donaldson, Colin Riley, Anton Lokhmotov, Andrew Cook
2007	—	`conf`	Delayed Side-Effects Ease Multi-core Programming. Euro-Par Anton Lokhmotov, Alan Mycroft, Andrew Richards
2007	B	`conf`	Optimal bit-reversal using vector permutations. SPAA Anton Lokhmotov, Alan Mycroft
2007	—	`conf`	Revisiting SIMD Programming. LCPC Anton Lokhmotov, Benedict R. Gaster, Alan Mycroft, Neil Hickey, David Stuttard