LEGaTO project concludes with major contributions to energy efficiency in heterogeneous computing

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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.

5× improvement in Mean Time to Failure through energy-efficient software-based fault tolerance.

Size reduction of the trusted computing base by at least an order of magnitude.

5× increase in FPGA designer productivity through the design of novel features for hardware design using dataflow languages.

Project Name

LEGaTO, Low Energy Toolset for Heterogeneous Computing



Project Type


Grant Agreement Number


Project Coordinator

Barcelona Supercomputing Center (BSC)


36 months

Number of Partners


Start Date

1st December 2017

End Date

30th November 2020