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ERC

MULTITHERMAN Report Summary

Project ID: 291125
Funded under: FP7-IDEAS-ERC
Country: Italy

Final Report Summary - MULTITHERMAN (Multiscale Thermal Management of Computing Systems)

The ERC-Advanced MULTITHERMAN project was funded to conduct leading-edge research in optimizing the energy and thermal efficiency of next generation computing systems ranging from small Internet-of-Things processors to supercomputers. The MULTITHERMAN Laboratory, lead by Prof. Luca Benini, has been established in 2013, leveraging a strongly multidisciplinary cooperation of 4 faculty members in the fields of Artificial Intelligence, Operation Research, Control Theory and System Identification. The project, concluded in 2018, has achieved several major outcomes:
First, new design methods and architectures have been developed in the field of near-threshold computing which have led to the design and open sourcing of PULP, the Parallel Ultra-Low Power platform (www.pulp-platform.org). PULP is one of the most successful open-source hardware project worldwide, and it is used for research and commercial products by large companies such as Google, as well as EU fabless start-ups, such as Greenwaves Technologies.
Second, MULTITHERMAN-sponsored researchers have proven the feasibility of advanced model-predictive control for thermal management of high-performance computing systems. The MULTITHERMAN research team has developed the first scalable model predictive controller for Intel Many-core Processors. In addition, researchers of the MULTITHERMAN laboratory made significant contributions to the thermal analysis and modeling of three-dimensional memory-on-logic systems, and demonstrated highly accurate modeling results on a world-first 3D-IC prototype developed by STMicroelectronics and CEA-LETI.
Third, MULTITHERMAN has achieved major milestones in the area of energy-efficient High-performance computing systems, where a strategic cooperation has been established with CINECA, the only Tier-0 computing facility in Italy. MULTITHERMAN researchers have built a complete characterization and energy analysis infrastructure for Eurotech’s EURORA supercomputer, which achieved top ranking in the GREEN500 list of most energy-efficient supercomputer in 2013, and they co-designed (in cooperation with E4) the D.A.V.I.D.E supercomputer, which achieved the 18th position in GREEN500 in 2018.

Reported by

ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA
Italy
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