Auto-parallelisation of Sieve C++ Programs. - Alastair F. Donaldson; Colin Riley; Anton Lokhmotov; Andrew Cook (Euro-Par Workshops, 2007)

Delayed Side-Effects Ease Multi-core Programming. - Anton Lokhmotov; Alan Mycroft; Andrew Richards (Euro-Par, 2007)

Revisiting SIMD Programming. - Anton Lokhmotov; Benedict R. Gaster; Alan Mycroft; Neil Hickey; David Stuttard (LCPC, 2007)

Optimal bit-reversal using vector permutations. - Anton Lokhmotov; Alan Mycroft (SPAA, 2007)

Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor. - Alastair F. Donaldson; Paul Keir; Anton Lokhmotov (Euro-Par Workshops, 2008)

Programming and compiling for embedded SIMD architectures. - Anton Lokhmotov (2008)

Towards Metaprogramming for Parallel Systems on a Chip. - Lee W. Howes; Anton Lokhmotov; Alastair F. Donaldson; Paul H. J. Kelly (Euro-Par Workshops, 2009)

Deriving Efficient Data Movement from Decoupled Access/Execute Specifications. - Lee W. Howes; Anton Lokhmotov; Alastair F. Donaldson; Paul H. J. Kelly (HiPEAC, 2009)

Generating GPU Code from a High-Level Representation for Image Processing Kernels. - Richard Membarth; Anton Lokhmotov; Jürgen Teich (Euro-Par Workshops (1), 2010)

Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures. - Alexander Monakov; Anton Lokhmotov; Arutyun Avetisyan (HiPEAC, 2010)

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation. - Dominik Grewe; Anton Lokhmotov (GPGPU, 2011)

PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs - Riyadh Baghdadi; Albert Cohen 001; Serge Guelton; Sven Verdoolaege; Jun Inoue 001; Tobias Grosser; Georgia Kouveli; Alexey Kravets; Anton Lokhmotov; Cedric Nugteren; Fraser Waters; Alastair F. Donaldson (CoRR, 2013)

VOBLA: a vehicle for optimized basic linear algebra. - Ulysse Beaugnon; Alexey Kravets; Sven van Haastregt; Riyadh Baghdadi; David Tweed; Javed Absar; Anton Lokhmotov (LCTES, 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)

PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming. - Riyadh Baghdadi; Ulysse Beaugnon; Albert Cohen 001; Tobias Grosser; Michael Kruse; Chandan Reddy 001; Sven Verdoolaege; Adam Betts; Alastair F. Donaldson; Jeroen Ketema; Javed Absar; Sven van Haastregt; et al. (PACT, 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)

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)

GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication. - Anton Lokhmotov (CoRR, 2015)

Collective Knowledge: Towards R&D sustainability. - Grigori Fursin; Anton Lokhmotov; Ed Plowman (DATE, 2016)

Optimizing convolutional neural networks on embedded platforms with OpenCL. - Anton Lokhmotov; Grigori Fursin (IWOCL, 2016)

Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework. - Anton Lokhmotov; Grigori Fursin (IWOCL, 2016)

Multi-objective autotuning of MobileNets across the full software/hardware stack. - Anton Lokhmotov; Nikolay Chunosov; Flavio Vella; Grigori Fursin (ReQuEST@ASPLOS, 2018)

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

A model-driven approach for a new generation of adaptive libraries. - Marco Cianfriglia; Flavio Vella; Cedric Nugteren; Anton Lokhmotov; Grigori Fursin (CoRR, 2018)

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; et al. (ISCA, 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 001; Danilo Pau; et al. (CoRR, 2020)

Dynamic Network Selection for the Object Detection Task: Why It Matters and What We (Didn't) Achieve. - Emanuele Vitali; Anton Lokhmotov; Gianluca Palermo (SAMOS, 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)

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 002; Pawan Ambalkar; Ritika Borkar; Ramesh Chukka; Trevor Cockrell; Oliver Curtis; Grigori Fursin; et al. (CoRR, 2024)

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. - Arya Tschand; Arun Tejusve Raghunath Rajan; Sachin Idgunji; Anirban Ghosh; Jeremy Holleman; Csaba Király 002; Pawan Ambalkar; Ritika Borkar; Ramesh Chukka; Trevor Cockrell; Oliver Curtis; Grigori Fursin; et al. (HPCA, 2025)