SuPerCom SIGNED
Sustainable Performance for High-Performance Embedded Computing Systems
Total Cost €
0EC-Contrib. €
0Partnership
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0SuPerCom project word cloud
Explore the words cloud of the SuPerCom project. It provides you a very rough idea of what is the project "SuPerCom" about.
Project "SuPerCom" data sheet
The following table provides information about the project.
| Coordinator |
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Project website | https://www.supercom-project.eu/ |
| Total cost | 1˙998˙918 € |
| EC max contribution | 1˙998˙918 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2017-COG |
| Funding Scheme | ERC-COG |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-06-01 to 2023-05-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION | ES (BARCELONA) | coordinator | 1˙998˙918.00 |
Map
Project objective
Computers increasingly intervene in critical aspects of our life related to health, safety, and security, resulting in (critical) software controlling functionalities or services with humans in the loop. This trend towards critical-function digitization brings huge benefits for society and rests two pillars: the use of high-performance parallel hardware as the only viable option to cover the highest-ever critical software’s performance needs; and the ability to provide sustainable (guaranteed) performance, instead of average unreliable performance. Failing to support both pillars prevents embedded computers from safely executing critical software potentially causing unacceptable risks or threats to human life. SuPerCom goes beyond current solutions, which face either major scalability limitations or cannot provide performance guarantees, and proposes a holistic multidisciplinary approach that addresses the challenge of providing high and sustainable performance with future embedded computers comprising high-performance hardware with unprecedented complexity levels. SuPerCom synergistically combines for the first time performance analysis, hardware design and statistical and machine learning techniques. With SuPerCom performance predictability and performance observability become first-class citizen hardware requirements, rather than being considered at the end of the design. SuPerCom also proposes statistical and machine-learning techniques to (i) deal with big amounts of performance data coming from hardware sensors and (ii) provide on-line optimizations to increase sustainable performance. SuPerCom breakthrough can have significant economic and societal impact by allowing embedded computers to use high-performance hardware with strong guarantees of sustainable performance. This, in turn, will allow executing a wide-variety of performance-demanding critical software like advanced driver assistance systems in cars or advanced medical devices with sound guarantees.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Pedro Benedicte, Carles Hernandez, Jaume Abella, Francisco J. Cazorla Locality-aware cache random replacement policies published pages: 48-61, ISSN: 1383-7621, DOI: 10.1016/j.sysarc.2018.12.007 |
Journal of Systems Architecture 93 | 2020-02-20 |
| 2018 |
Jordi Cardona, Carles Hernandez, Jaume Abella, Francisco J. Cazorla EOmesh: Combined Flow Balancing and Deterministic Routing for Reduced WCET Estimates in Embedded Real-Time Systems published pages: 2451-2461, ISSN: 0278-0070, DOI: 10.1109/TCAD.2018.2857298 |
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37/11 | 2020-02-20 |
| 2018 |
Sergi Alcaide, Leonidas Kosmidis, Hamid Tabani, Carles Hernandez, Jaume Abella, Francisco J. Cazorla Safety-Related Challenges and Opportunities for GPUs in the Automotive Domain published pages: 46-55, ISSN: 0272-1732, DOI: 10.1109/MM.2018.2873870 |
IEEE Micro 38/6 | 2020-02-20 |
| 2019 |
Giesen, Jeremy; Mezzetti, Enrico; Abella, Jaume; Fernández, Enrique; Cazorla, Francisco J. ePAPI: Performance Application ProgrammingInterface for Embedded Platforms published pages: , ISSN: , DOI: 10.4230/OASIcs.WCET.2019.3 |
2020-02-20 | |
| 2019 |
Pujol, Roger; Tabani, Hamid; Kosmidis, Leonidas; Mezzetti, Enrico; Abella, Jaume; Cazorla, Francisco J. Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier published pages: , ISSN: , DOI: 10.4230/LIPIcs.ECRTS.2019.23 |
2020-02-20 |
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