Anton Lokhmotov

According to our database, Anton Lokhmotov authored at least 30 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

CoRR, 2024

2021

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

Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri, Osvaldo Gervasi, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo, Flavio Vella

ACM Trans. Archit. Code Optim., 2021

Dynamic Network Selection for the Object Detection Task: Why It Matters and What We (Didn't) Achieve.

Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021

2020

Benchmarking TinyML Systems: Challenges and Direction.

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

CoRR, 2020

MLPerf Inference Benchmark.

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2018

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

Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin

CoRR, 2018

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

Grigori Fursin, Anton Lokhmotov, Dmitry Savenko, Eben Upton

CoRR, 2018

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

Thierry Moreau, Anton Lokhmotov, Grigori Fursin

CoRR, 2018

Multi-objective autotuning of MobileNets across the full software/hardware stack.

Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin

Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, 2018

2016

Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework.

Anton Lokhmotov, Grigori Fursin

Proceedings of the 4th International Workshop on OpenCL, 2016

Optimizing convolutional neural networks on embedded platforms with OpenCL.

Anton Lokhmotov, Grigori Fursin

Proceedings of the 4th International Workshop on OpenCL, 2016

Collective Knowledge: Towards R&D sustainability.

Grigori Fursin, Anton Lokhmotov, Ed Plowman

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015

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

Anton Lokhmotov

CoRR, 2015

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

Frank Hannig, Dietmar Fey, Anton Lokhmotov

CoRR, 2015

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

Grigori Fursin, Abdul Wahid Memon, Christophe Guillon, Anton Lokhmotov

CoRR, 2015

PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming.

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

Proceedings of the 2015 International Conference on Parallel Architectures and Compilation, 2015

2014

Collective mind: Towards practical and collaborative auto-tuning.

Grigori Fursin, Renato Miceli, Anton Lokhmotov, Michael Gerndt, Marc Baboulin, Allen D. Malony, Zbigniew Chamski, Diego Novillo, Davide Del Vento

Sci. Program., 2014

VOBLA: a vehicle for optimized basic linear algebra.

Ulysse Beaugnon, Alexey Kravets, Sven van Haastregt, Riyadh Baghdadi, David Tweed, Javed Absar, Anton Lokhmotov

Proceedings of the SIGPLAN/SIGBED Conference on Languages, 2014

2013

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

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

CoRR, 2013

2011

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation.

Dominik Grewe, Anton Lokhmotov

Proceedings of 4th Workshop on General Purpose Processing on Graphics Processing Units, 2011

2010

Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures.

Alexander Monakov, Anton Lokhmotov, Arutyun Avetisyan

Proceedings of the High Performance Embedded Architectures and Compilers, 2010

Generating GPU Code from a High-Level Representation for Image Processing Kernels.

Richard Membarth, Anton Lokhmotov, Jürgen Teich

Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2010

2009

Deriving Efficient Data Movement from Decoupled Access/Execute Specifications.

Lee W. Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H. J. Kelly

Proceedings of the High Performance Embedded Architectures and Compilers, 2009

Towards Metaprogramming for Parallel Systems on a Chip.

Lee W. Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H. J. Kelly

Proceedings of the Euro-Par 2009, 2009

2008

Programming and compiling for embedded SIMD architectures.

Anton Lokhmotov

PhD thesis, 2008

Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor.

Alastair F. Donaldson, Paul Keir, Anton Lokhmotov

Proceedings of the Euro-Par 2008 Workshops, 2008

2007

Optimal bit-reversal using vector permutations.

Anton Lokhmotov, Alan Mycroft

Proceedings of the SPAA 2007: Proceedings of the 19th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2007

Revisiting SIMD Programming.

Anton Lokhmotov, Benedict R. Gaster, Alan Mycroft, Neil Hickey, David Stuttard

Proceedings of the Languages and Compilers for Parallel Computing, 2007

Delayed Side-Effects Ease Multi-core Programming.

Anton Lokhmotov, Alan Mycroft, Andrew Richards

Proceedings of the Euro-Par 2007, 2007

Auto-parallelisation of Sieve C++ Programs.

Alastair F. Donaldson, Colin Riley, Anton Lokhmotov, Andrew Cook

Proceedings of the Euro-Par 2007 Workshops: Parallel Processing, 2007