The Industrial Advisory Board (IAB) provides an efficient, independent, industry-based mechanism for quickly obtaining real-world feedback on project interim results. Moreover, it facilitates industry’s direct participation in identifying and pursuing exploitation opportunities. The IAB members are chosen by the General Assembly (GA) in order to meet three main objectives:
- Evaluate the scientific quality and principally practical application of the work
- Provide expert opinion to the GA and the Coordinator on issues concerning to the development of the research activities
- Assist and support external communication, dissemination and exploitation
The IAB is comprised of expertise areas that reflect the activity state-space of the project. These areas include low-energy computing, heterogeneous architectures, programming models and runtimes, as well as the LEGaTO use cases of machine learning, healthcare, smart city, smart home, and secure IoT gateway. The IAB reviews the project plan and suggests possible additions to better align the project with the needs of industry and user communities. It also assists in directing the work of the project to ensure the compatibility of the technology planned and developed with industry and user requirements. Feedback will be requested via three Technical IAB Meetings.
At the end of the project, the LEGaTO team will organize a final event inviting end user community members (End User Group, EUG) from LEGaTO's use cases in order to ensure the wider uptake of the project technologies and the tool-set. It will also include members from the relevant potential target markets such as artificial intelligence, edge computing and machine learning. Moreover, given the early interest of some of the end users, these will be invited to the next Industrial Advisory Board meeting, in order to increase their engagement in the project and to be able to collect feedback from potential early adopters.
Industrial Advisory Board Members:
- Michaela Blott - Xilinx Inc., Machine Learning, Data centers and FPGAs
- Stephan Diestelhorst - ARM, Computer architecture, Energy monitoring and modelling
- Ayal Zaks - Compiler Optimizations, Parallel architectures
“I’m very excited following the innovative efforts inside LEGaTO to advance low-energy computing with heterogeneous architectures from leveraging concepts such as undervolting for performance scaling, to also investigating novel programming paradigms for parallel computing with OmpSs, XiTAO and DFiant, which are essential to improve usability of increasingly complex heterogeneous systems.” Michaela Blott, Distinguished Engineer at Xilinx