Search Results for author: Anton Lokhmotov

Found 8 papers, 6 papers with code

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

no code implementations27 May 2021 Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo

We benchmarked different neural networks to find the optimal detector for the well-known COCO 17 database, and we demonstrate that even if we only consider the quality of the prediction there is not a single optimal network.

Object Detection

Benchmarking TinyML Systems: Challenges and Direction

1 code implementation10 Mar 2020 Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav

In this position paper, we present the current landscape of TinyML and discuss the challenges and direction towards developing a fair and useful hardware benchmark for TinyML workloads.

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

7 code implementations19 Jan 2018 Thierry Moreau, Anton Lokhmotov, Grigori Fursin

Co-designing efficient machine learning based systems across the whole hardware/software stack to trade off speed, accuracy, energy and costs is becoming extremely complex and time consuming.

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

3 code implementations19 Jan 2018 Grigori Fursin, Anton Lokhmotov, Dmitry Savenko, Eben Upton

Developing efficient software and hardware has never been harder whether it is for a tiny IoT device or an Exascale supercomputer.

Human-Computer Interaction Computers and Society

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

1 code implementation12 Nov 2015 Anton Lokhmotov

We introduce GEMMbench, a framework and methodology for evaluating performance of GEMM implementations.

Mathematical Software Performance

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

22 code implementations20 Jun 2015 Grigori Fursin, Abdul Memon, Christophe Guillon, Anton Lokhmotov

Nowadays, engineers have to develop software often without even knowing which hardware it will eventually run on in numerous mobile phones, tablets, desktops, laptops, data centers, supercomputers and cloud services.

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

no code implementations25 Feb 2015 Frank Hannig, Dietmar Fey, Anton Lokhmotov

This volume contains the papers accepted at the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015), held in Grenoble, France, March 13, 2015.

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