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2020 – today
- 2021
[j2]Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri
, Osvaldo Gervasi, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo, Flavio Vella:
On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond. ACM Trans. Archit. Code Optim. 18(1): 16:1-16:24 (2021)- [c18]Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo:
Dynamic Network Selection for the Object Detection Task: Why It Matters and What We (Didn't) Achieve. SAMOS 2021: 467-480 - [i10]Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo:
Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve. CoRR abs/2105.13279 (2021) - 2020
- [c17]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:
MLPerf Inference Benchmark. ISCA 2020: 446-459 - [i9]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:
Benchmarking TinyML Systems: Challenges and Direction. CoRR abs/2003.04821 (2020)
2010 – 2019
- 2019
- [i8]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:
MLPerf Inference Benchmark. CoRR abs/1911.02549 (2019) - 2018
- [c16]Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin:
Multi-objective autotuning of MobileNets across the full software/hardware stack. ReQuEST@ASPLOS 2018: 6 - [e1]Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell:
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. ACM 2018 [contents] - [i7]Thierry Moreau, Anton Lokhmotov, Grigori Fursin:
Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments. CoRR abs/1801.06378 (2018) - [i6]Grigori Fursin, Anton Lokhmotov, Dmitry Savenko, Eben Upton:
A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques. CoRR abs/1801.08024 (2018) - [i5]Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin:
A model-driven approach for a new generation of adaptive libraries. CoRR abs/1806.07060 (2018) - 2016
- [c15]Grigori Fursin, Anton Lokhmotov, Ed Plowman:
Collective Knowledge: Towards R&D sustainability. DATE 2016: 864-869 - [c14]Anton Lokhmotov, Grigori Fursin:
Optimizing convolutional neural networks on embedded platforms with OpenCL. IWOCL 2016: 10:1-10:4 - [c13]Anton Lokhmotov, Grigori Fursin:
Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework. IWOCL 2016: 20:1-20:2 - 2015
- [c12]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:
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming. PACT 2015: 138-149 - [i4]Frank Hannig, Dietmar Fey, Anton Lokhmotov:
Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015). CoRR abs/1502.07241 (2015) - [i3]Grigori Fursin, Abdul Wahid Memon, Christophe Guillon, Anton Lokhmotov:
Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science. CoRR abs/1506.06256 (2015) - [i2]Anton Lokhmotov:
GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication. CoRR abs/1511.03742 (2015) - 2014
- [j1]Grigori Fursin, Renato Miceli, Anton Lokhmotov, Michael Gerndt, Marc Baboulin, Allen D. Malony, Zbigniew Chamski, Diego Novillo, Davide Del Vento:
Collective mind: Towards practical and collaborative auto-tuning. Sci. Program. 22(4): 309-329 (2014) - [c11]Ulysse Beaugnon, Alexey Kravets, Sven van Haastregt, Riyadh Baghdadi, David Tweed, Javed Absar, Anton Lokhmotov:
VOBLA: a vehicle for optimized basic linear algebra. LCTES 2014: 115-124 - 2013
- [i1]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:
PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs. CoRR abs/1302.5586 (2013) - 2011
- [c10]Dominik Grewe, Anton Lokhmotov:
Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation. GPGPU 2011: 12 - 2010
- [c9]Richard Membarth, Anton Lokhmotov, Jürgen Teich:
Generating GPU Code from a High-Level Representation for Image Processing Kernels. Euro-Par Workshops (1) 2010: 270-280 - [c8]Alexander Monakov, Anton Lokhmotov, Arutyun Avetisyan:
Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures. HiPEAC 2010: 111-125
2000 – 2009
- 2009
- [c7]Lee W. Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H. J. Kelly:
Towards Metaprogramming for Parallel Systems on a Chip. Euro-Par Workshops 2009: 36-45 - [c6]Lee W. Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H. J. Kelly:
Deriving Efficient Data Movement from Decoupled Access/Execute Specifications. HiPEAC 2009: 168-182 - 2008
- [b1]Anton Lokhmotov:
Programming and compiling for embedded SIMD architectures. University of Cambridge, UK, 2008 - [c5]Alastair F. Donaldson, Paul Keir, Anton Lokhmotov:
Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor. Euro-Par Workshops 2008: 163-173 - 2007
- [c4]Alastair F. Donaldson, Colin Riley, Anton Lokhmotov, Andrew Cook:
Auto-parallelisation of Sieve C++ Programs. Euro-Par Workshops 2007: 18-27 - [c3]Anton Lokhmotov, Alan Mycroft, Andrew Richards:
Delayed Side-Effects Ease Multi-core Programming. Euro-Par 2007: 641-650 - [c2]Anton Lokhmotov, Benedict R. Gaster, Alan Mycroft, Neil Hickey, David Stuttard:
Revisiting SIMD Programming. LCPC 2007: 32-46 - [c1]Anton Lokhmotov, Alan Mycroft:
Optimal bit-reversal using vector permutations. SPAA 2007: 198-199
Coauthor Index
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