Low-energy toolset for heterogeneous computing (LEGaTO)
Forskningsprojekt, 2017
– 2020
Due to fundamental limitations of scaling at the atomic scale, coupled with heat density problems of packing an ever increasing number of transistors in a unit area, Moore’s Law has slowed down. Heterogeneity aims to solve the problems associated with the end of Moore’s Law by incorporating more specialized compute units in the system hardware and by utilizing the most efficient compute unit for each computation. However, while software-stack support for heterogeneity is relatively well developed for performance, for power- and energy-efficient computing it is severely lacking. The primary ambition of the LEGaTO project is to address this challenge by starting with a Made-in-Europe mature software stack, and optimizing this stack to support energy-efficient computing on a commercial cutting-edge European-developed CPU–GPU–FPGA heterogeneous hardware substrate and FPGA-based Dataflow Engines (DFE), which will lead to an order of magnitude increase in energy efficiency.
The main objectives of the LEGATO project are the following: - One order of magnitude improvement in energy-efficiency for heterogeneous hardware through the use of the energy-optimized programming model and runtime - Size reduction of the trusted computing base by at least an order of magnitude - 5× decrease in Mean Time to Failure through energy-efficient software-based fault tolerance. - 5× increase in FPGA designer productivity through the design of novel features for hardware design using dataflow languages
Deltagare
Miquel Pericas (kontakt)
Chalmers, Data- och informationsteknik, Datorteknik
Mustafa Abduljabbar
Chalmers, Data- och informationsteknik, Datorteknik
Jing Chen
Chalmers, Data- och informationsteknik, Datorteknik
Pirah Noor Soomro
Chalmers, Data- och informationsteknik, Datorteknik
Samarbetspartners
Barcelona Supercomputing Center (BSC)
Barcelona, Spain
Christmann Informationstechnik + Medien
Ilsede, Germany
Data Intelligence Sweden AB
Göteborg, Sweden
Helmholtz
Berlin, Germany
Maxeler Technologies
London, United Kingdom
Technion – Israel Institute of Technology
Haifa, Israel
Technische Universität Dresden
Dresden, Germany
Universität Bielefeld
Bielefeld, Germany
Université de Neuchâtel
Neuchâtel, Switzerland
Finansiering
Europeiska kommissionen (EU)
Projekt-id: EC/H2020/780681
Finansierar Chalmers deltagande under 2018–2021
Relaterade styrkeområden och infrastruktur
Hållbar utveckling
Drivkrafter
Grundläggande vetenskaper
Fundament