activity
20132021
most citedA Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques

11 citations · 36 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2021

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

Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo

In this paper, we want to show the potential benefit of a dynamic auto-tuning approach for the inference process in the Deep Neural Network (DNN) context, tackling the object detec…

cs.PF2020

Benchmarking TinyML Systems: Challenges and Direction

Colby R. Banbury, Vijay Janapa Reddi, Max Lam +14

Recent advancements in ultra-low-power machine learning (TinyML) hardware promises to unlock an entirely new class of smart applications. However, continued progress is limited by…

cs.HC201811 cited

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

Grigori Fursin, Anton Lokhmotov, Dmitry Savenko +1

Developing efficient software and hardware has never been harder whether it is for a tiny IoT device or an Exascale supercomputer. Apart from the ever growing design and optimizati…

stat.ML20185 cited

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

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…

cs.SE201510 cited

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

Grigori Fursin, Abdul Memon, Christophe Guillon +1

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…

cs.AR2015

Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 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, Fran…