200 citations · 258 across the 10 of their papers we have counts for
3 papers · 1 filter
A model-driven approach for a new generation of adaptive libraries
Marco Cianfriglia, Flavio Vella, Cedric Nugteren +2
Efficient high-performance libraries often expose multiple tunable parameters to provide highly optimized routines. These can range from simple loop unroll factors or vector sizes…
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…
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…