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HERCULES

High-Performance Real-time Architectures for Low-Power Embedded Systems

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EC-Contrib. €

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Partnership

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Project "HERCULES" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA 

Organization address
address: VIA UNIVERSITA 4
city: MODENA
postcode: 41121
website: www.unimore.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://hercules2020.eu/
 Total cost 3˙261˙443 €
 EC max contribution 2˙072˙300 € (64%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA IT (MODENA) coordinator 606˙215.00
2    EVIDENCE SRL IT (PISA) participant 367˙500.00
3    CESKE VYSOKE UCENI TECHNICKE V PRAZE CZ (PRAHA) participant 344˙875.00
4    MARELLI EUROPE SPA IT (CORBETTA) participant 329˙656.00
5    AIRBUS DEFENCE AND SPACE GMBH DE (TAUFKIRCHEN) participant 242˙943.00
6    PITOM S.N.C. DI MICHELE FRANCHI E ROBERTO MATI IT (PISA) participant 181˙109.00
7    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 0.00

Map

 Project objective

The advent of commercial-of-the-shelf (COTS) heterogeneous multi-core platforms is opening up a series of opportunities in the embedded computing market. Integrating multiple computing element running at smaller frequencies allows obtaining impressive performance capabilities at a reduced power consumption. At the same time, new applications are being proposed integrating more and more functionalities in the objects commonly used for our daily activities, imposing a number of additional requirements to embedded systems designers: - higher computing workloads, elaborating and fusing multiple sensor data; - reduced power consumption, allowing smaller batteries and renewable power sources; - quicker interaction with the environment, requiring a prompt elaboration of sensor data; - higher criticality, replacing safety-critical human activities.

These converging needs call for “real-time embedded super-computing platforms” that are able to predictably provide real-time guarantees to applications running on top of next generation embedded platforms. These applications do not only require high performance at low power. They also need to provide predictable guarantees. Having impressive average performances with no guaranteed bounds on the response times of the critical computing activities is of little if no use to these applications. Project HERCULES will provide the required technological infrastructure to obtain an order-of-magnitude improvement in the cost and power consumption of next generation real-time applications. It will develop an integrated framework to allow achieving predictable performance on top of cutting-edge heterogeneous CTOS multi-core platforms, implementing real-time scheduling techniques and execution models recently proposed in the research community. The framework will be applied to two innovative industrial use cases: a pioneering autonomous driving system for the automotive domain, and a visual recognition system for the avionic domain.

 Deliverables

List of deliverables.
Final Periodic report Documents, reports 2020-01-28 10:20:47
Project management plan Documents, reports 2020-01-28 10:20:46
Specification of Hardware Platforms Documents, reports 2020-01-28 10:20:46
Application Requirements Documents, reports 2020-01-28 10:20:46
Detailed Characterization of Platforms Documents, reports 2020-01-28 10:20:46
Programming Model(s) analysis and selection Documents, reports 2020-01-28 10:20:46
Open source strategy plan Documents, reports 2020-01-28 10:20:46
Year 1 Periodic report Documents, reports 2020-01-28 10:20:46
Collaboration and Communication Tools Websites, patent fillings, videos etc. 2020-01-28 10:20:46
Final Board Demonstrators, pilots, prototypes 2020-01-28 10:20:46
Power-Aware Scheduling Algorithm for Host Documents, reports 2020-01-28 10:20:45
Integrated Schedulability Analysis Documents, reports 2020-01-28 10:20:45
Optimized support for predictability in the accelerator programing environment Demonstrators, pilots, prototypes 2020-01-28 10:20:45
Final dissemination report Documents, reports 2020-01-28 10:20:46
Multi-OS integration and Virtualization Demonstrators, pilots, prototypes 2020-01-28 10:20:45
Optimized runtime for parallel heterogeneous platforms Demonstrators, pilots, prototypes 2020-01-28 10:20:45
Open source results Documents, reports 2020-01-28 10:20:46
Scheduling Algorithm for Parallel Accelerators Documents, reports 2020-01-28 10:20:45
Lightweight RTOS - final Demonstrators, pilots, prototypes 2020-01-28 10:20:46
Validation Report Documents, reports 2020-01-28 10:20:46
Real-time Linux - final Demonstrators, pilots, prototypes 2020-01-28 10:20:45
Final exploitation plan Documents, reports 2020-01-28 10:20:46

Take a look to the deliverables list in detail:  detailed list of HERCULES deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Anna Minaeva, Benny Akesson, Zdenek Hanzalek, Dakshina Dasari
Time-Triggered Co-Scheduling of Computation and Communication with Jitter Requirements
published pages: 1-1, ISSN: 0018-9340, DOI: 10.1109/TC.2017.2722443
IEEE Transactions on Computers 2020-01-28
2017 Björn Forsberg, Daniele Palossi, Andrea Marongiu, Luca Benini
GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model
published pages: 2428-2432, ISSN: 1877-0509, DOI: 10.1016/j.procs.2017.05.219
Procedia Computer Science 108 2020-01-28
2017 Paolo Burgio, Marko Bertogna, Nicola Capodieci, Roberto Cavicchioli, Michal Sojka, Přemysl Houdek, Andrea Marongiu, Paolo Gai, Claudio Scordino, Bruno Morelli
A software stack for next-generation automotive systems on many-core heterogeneous platforms
published pages: 299-311, ISSN: 0141-9331, DOI: 10.1016/j.micpro.2017.06.016
Microprocessors and Microsystems 52 2020-01-28
2017 Francesco Conti, Daniele Palossi, Renzo Andri, Michele Magno, Luca Benini
Accelerated Visual Context Classification on a Low-Power Smartwatch
published pages: 1-12, ISSN: 2168-2291, DOI: 10.1109/THMS.2016.2623482
IEEE Transactions on Human-Machine Systems 2020-01-28
2019 Ignacio Sañudo, Paolo Cortimiglia, Luca Miccio, Marco Solieri, Paolo Burgio, Christian Di Biagio, Franco Felici, Giovanni Nuzzo and Marko Bertogna
The key role of memory in next-generation embedded systems for military application
published pages: , ISSN: , DOI:
Proceedings of International Conference in Software Engineering for Defence Applications,in Advances in Intelligent Systems and Computing 2020-01-28
2018 Joel Matějka, Björn Forsberg, Michal Sojka, Přemysl Šůcha, Luca Benini, Andrea Marongiu, Zdeněk Hanzálek
Combining PREM Compilation and Static Scheduling for High-Performance and Predictable MPSoC Execution
published pages: , ISSN: 0167-8191, DOI: 10.1016/j.parco.2018.11.002
Parallel Computing 2020-01-28
2019 Claudio Scordino, Luca Abeni, Juri Lelli
Real-time and energy efficiency in Linux
published pages: 18-30, ISSN: 1559-6915, DOI: 10.1145/3307624.3307627
ACM SIGAPP Applied Computing Review 18/4 2020-01-28
2019 Jan Dvorak, Zdenek Hanzalek
Multi-Variant Scheduling of Critical Time-Triggered Communication in Incremental Development Process: Application to FlexRay
published pages: 155-169, ISSN: 0018-9545, DOI: 10.1109/tvt.2018.2879920
IEEE Transactions on Vehicular Technology 68/1 2020-01-28
2017 Bjorn Forsberg, Andrea Marongiu, Luca Benini
GPUguard: towards supporting a predictable execution model for heterogeneous SoC
published pages: 318-321, ISSN: , DOI: 10.3929/ethz-b-000222912
Proceedings of the Conference on Design, Automation & Test in Europe 2020-01-28
2017 Kurth, Andreas; Vogel, Pirmin; Capotondi, Alessandro; Marongiu, Andrea; Benini, Luca
HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA
published pages: , ISSN: , DOI: 10.3929/ethz-b-000219249
Proceedings of Computer Architecture Research with RISC-V Workshop (CARRV\' 17) 11 2020-01-28
2019 Daniele Palossi, Andres Gomez, Stefan Draskovic, Andrea Marongiu, Lothar Thiele, Luca Benini
Extending the Lifetime of Nano-Blimps via Dynamic Motor Control
published pages: 339-361, ISSN: 1939-8018, DOI: 10.1007/s11265-018-1343-1
Journal of Signal Processing Systems 91/3-4 2020-01-28
2017 Pirmin Vogel, Andreas Kurth, Johannes Weinbuch, Andrea Marongiu, Luca Benini
Efficient Virtual Memory Sharing via On-Accelerator Page Table Walking in Heterogeneous Embedded SoCs
published pages: 1-19, ISSN: 1539-9087, DOI: 10.1145/3126560
ACM Transactions on Embedded Computing Systems 16/5s 2020-01-28
2018 Alessandro Biondi, Giorgio Buttazzo, Marko Bertogna
A design flow for supporting component-based software development in multiprocessor real-time systems
published pages: 800-829, ISSN: 0922-6443, DOI: 10.1007/s11241-018-9301-3
Real-Time Systems 54/4 2020-01-28
2018 Pirmin Vogel, Andrea Marongiu, Luca Benini
Exploring Shared Virtual Memory for FPGA Accelerators with a Configurable IOMMU
published pages: 1-1, ISSN: 0018-9340, DOI: 10.1109/tc.2018.2879080
IEEE Transactions on Computers 2020-01-28

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The information about "HERCULES" are provided by the European Opendata Portal: CORDIS opendata.

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