LEGaTO presented results at HiPEAC CSW dedicated workshop on 16 October 2020
Find out about LEGaTO's work on DFiant
LEGaTO work on AI will be discussed at a AI4EU Web Café on 28 October 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.