RAPID
Heterogeneous Secure Multi-level Remote Acceleration Service for Low-Power Integrated Systems and Devices
Total Cost €
0EC-Contrib. €
0Partnership
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0RAPID project word cloud
Explore the words cloud of the RAPID project. It provides you a very rough idea of what is the project "RAPID" about.
Project "RAPID" data sheet
The following table provides information about the project.
| Coordinator |
IDRYMA TECHNOLOGIAS KAI EREVNAS
Organization address contact info |
| Coordinator Country | Greece [EL] |
| Project website | http://www.rapid-project.eu/ |
| Total cost | 2˙023˙800 € |
| EC max contribution | 2˙023˙800 € (100%) |
| Programme |
1. H2020-EU.2.1.1.3. (Future Internet: Software, hardware, Infrastructures, technologies and services) |
| Code Call | H2020-ICT-2014-1 |
| Funding Scheme | RIA |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-01-01 to 2017-12-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | IDRYMA TECHNOLOGIAS KAI EREVNAS | EL (IRAKLEIO) | coordinator | 258˙750.00 |
| 2 | SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS | EL (NEA KIFISIA) | participant | 354˙625.00 |
| 3 | UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA | IT (ROMA) | participant | 348˙331.00 |
| 4 | THE QUEEN'S UNIVERSITY OF BELFAST | UK (BELFAST) | participant | 326˙925.00 |
| 5 | ATOS SPAIN SA | ES (MADRID) | participant | 300˙625.00 |
| 6 | UNIVERSITA DEGLI STUDI DI NAPOLI PARTHENOPE | IT (NAPOLI) | participant | 222˙668.00 |
| 7 | HERTA SECURITY SL | ES (BARCELONA) | participant | 211˙875.00 |
Map
Project objective
Many low-power devices such as smartphones, tablets, notebooks as well as several other embedded systems can't always cope with the increased demand for processing power, memory and storage required by modern applications in gaming, vision, security, robotics, aerospace, etc. As a result, most such applications are only executed on high-end servers.
RAPID tackles this challenge by taking advantage of high-performance accelerators and high-bandwidth networks. Following our approach, compute or storage intensive tasks are seamlessly offloaded from the low-power devices to more powerful heterogeneous accelerators, supporting multiple virtual CPUs and GPUs. We propose, for the first time, a secure unified model where almost any device or infrastructure, ranging from smartphone, notebook, laptop and desktop to private and public cloud can operate as an accelerated entity and/or as an accelerator serving other less powerful devices in a secure way.
RAPID offers a registration mechanism, which permits the accelerated entities to automatically find and connect to nearby accelerators with the required resources. Next, a runtime system, running on each such accelerated entity, takes into account several parameters such as the local status, the environmental conditions, the task requirements, and the status of the accelerators it is connected to in order to decide whether local tasks (or incoming tasks if the entity also acts as an accelerator) should be executed locally or remotely. Novel scheduling algorithms, admission control policies, Service Level Agreements and license policies are employed to serve multiple accelerated applications efficiently on heterogeneous cloud infrastructures.
An easy-to-use task-based programming model will be defined, while a novel runtime will automatically offload and execute the tasks transparently to the programmer. Within the RAPID project the first public acceleration cloud service will become available and commercially exploitable.
Deliverables
| Specifications of Acceleration Server | Documents, reports | 2019-05-30 12:18:38 |
| System integration and validation | Documents, reports | 2019-05-30 12:18:35 |
| Application analysis and system requirements | Documents, reports | 2019-05-30 12:18:35 |
| Specifications of Accelerator Infrastructures | Documents, reports | 2019-05-30 12:18:31 |
| First RAPID-based public service | Demonstrators, pilots, prototypes | 2019-05-30 12:18:36 |
| Specifications of Acceleration Client and Compiler | Documents, reports | 2019-05-30 12:18:42 |
| Specifications of system components and programming model | Documents, reports | 2019-05-30 12:18:30 |
| Development of Execution Engine | Other | 2019-05-30 12:18:38 |
| Evaluation of RAPID platforms | Documents, reports | 2019-05-30 12:18:33 |
| Website | Websites, patent fillings, videos etc. | 2019-05-30 12:18:31 |
| Antivirus ported on RAPID | Other | 2019-04-29 08:20:08 |
Take a look to the deliverables list in detail: detailed list of RAPID deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia Virtualizing CUDA enabled GPGPU son ARM clusters published pages: , ISSN: , DOI: |
INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS | 2019-05-30 |
| 2015 |
Lara Lopez, Francisco J. Nieto (ATOS) et al. Recommendations for the Workprogramme H2020-ICT-2018-2019 published pages: , ISSN: , DOI: |
2019-05-30 | |
| 2017 |
G. Vasiliadis, L. Koromilas, M. Polychronakis, S. Ioannidis Design and Implementation of a Stateful Network Packet Processing Framework for GPUs published pages: , ISSN: , DOI: |
ACM Transactions on Networking | 2019-05-30 |
| 2016 |
D. Petsu, L. Lopez, F. J. Nieto, I. Mavroidis, R. Bruschi, Z. Zhao, C. Vassilakis, P. Gouvas, et al NATRES: Novel Approaches and Technologies for Cloud Resources and Service management published pages: , ISSN: , DOI: |
2019-05-30 | |
| 2017 |
L. Marcellino, R. Montella, S. Kosta, A. Galletti, D. Di Luccio, V. Santopietro, M. Ruggieri, M. Lapegna, L. D’Amore, G. Laccetti Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources published pages: , ISSN: , DOI: |
INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATIC | 2019-05-30 |
| 2016 |
Raffaele MontellaCarmine FerraroSokol KostaValentina PellicciaGiulio Giunta Enabling Android-based devices to high-end GPGPUs published pages: , ISSN: , DOI: |
ICA3PP | 2019-05-30 |
| 2017 |
Cheol-Ho Hong, Ivor Spence, Dimitrios S. Nikolopoulos GPU Virtualization and Scheduling Methods published pages: 1-37, ISSN: 0360-0300, DOI: 10.1145/3068281 |
ACM Computing Surveys 50/3 | 2019-05-30 |
| 2017 |
Cheol-Ho Hong, Ivor Spence, Dimitrios S. Nikolopoulos FairGV: Fair and Fast GPU Virtualization published pages: 3472-3485, ISSN: 1045-9219, DOI: 10.1109/TPDS.2017.2717908 |
IEEE Transactions on Parallel and Distributed Systems 28/12 | 2019-05-30 |
| 2016 |
R. Montella et al. FairWind: a marine data crowdsourcing platform based on Internet of Things and mobile/cloud computing technologies published pages: , ISSN: , DOI: |
8th International Workshop on Modeling the Ocean | 2019-05-30 |
| 2016 |
Dimitris Chatzopoulos, Mahdieh Ahmadi, Sokol Kosta, Pan Hui OPENRP: a reputation middleware for opportunistic crowd computing published pages: 115-121, ISSN: 0163-6804, DOI: 10.1109/MCOM.2016.7509388 |
IEEE Communications Magazine 54/7 | 2019-05-30 |
| 2017 |
R. Montella, D. Di Luccio, L. Marcellino, A. Galleti, S. Kosta, A. Brizius, I. Foster Processing of Crowd-sourced Data from an Internet of Floating Things published pages: , ISSN: , DOI: |
Workshop on Workflows in Support of Large-Scale Science | 2019-05-30 |
| 2017 |
Aedelio Galletti, Livia Marcellino, Raffaele Montella, Vincenzo Santopietro, Sokol Kosta A virtualized software based on the NVIDIA cuFFT library for image denoising: performance analysis published pages: , ISSN: 1877-0509, DOI: |
Procedia Computer Science | 2019-05-30 |
| 2015 |
Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia Virtualizing CUDA enabled GPGPUs on ARM clusters published pages: , ISSN: , DOI: |
11th International Conference on Parallel Processing and Applied Mathematics | 2019-05-30 |
| 2015 |
Francisco Airton Silva Matheus Rodrigues, Paulo Maciel, Sokol Kosta, and Alessandro Mei Planning Mobile Cloud Infrastructures Using Stochastic Petri Nets and Graphic Processing Units published pages: , ISSN: , DOI: |
IEEE International Conference on Cloud Computing Technology and Science | 2019-05-30 |
| 2016 |
Eva Papadogiannaki, Sotiris Ioannidis An Efficient Scheduling Approach for Concurrent Packet Processing Applications on Heterogeneous Systems published pages: , ISSN: , DOI: |
ACM-W Europe womENcourage conference | 2019-05-30 |
| 2016 |
Camila Araujo, Sokol Kosta, Fabiano Vaz, Igor Costa, Paulo Maciel, Francisco Silva Supporting availability evaluation in MCC-based mHealth planning published pages: , ISSN: 0013-5194, DOI: 10.1049/el.2016.1652 |
Electronics Letters | 2019-05-30 |
| 2016 |
Dimitris Chatzopoulos, Kathleen Sucipto, Sokol Kosta and Pan Hui Video Compression in the Neighborhood: An Opportunistic Approach published pages: , ISSN: , DOI: |
IEEE International Conference on Communications | 2019-05-30 |
| 2017 |
K. Sucipto, D. Chatzopoulos, S. Kosta, P. Hui Keep Your Nice Friends Close, but Your Rich Friends Closer published pages: , ISSN: , DOI: |
IEEE International Conference on Computer Communitions | 2019-05-30 |
| 2017 |
Dimitris Chatzopoulos, Mahdieh Ahmadi, Sokol Kosta, Pan Hui FlopCoin: A Cryptocurrency for Computation Offloading published pages: 1-1, ISSN: 1536-1233, DOI: 10.1109/TMC.2017.2748133 |
IEEE Transactions on Mobile Computing | 2019-05-30 |
| 2015 |
Iakovos Mavroidis (FORTH), Lara Lopez (ATOS), Sokol Kosta (University of Rome) et al. Research and Innovation Challenges in Infrastructure Services: Map between on-going actions and the workprogramme topics published pages: , ISSN: , DOI: |
2019-05-30 | |
| 2016 |
R. Montella, G. Giunta, G. Laccetti, M. Lapegna, C. Palmieri, C. Ferraro, V. Pelliccia, C. Hong, I. Spence, D. Nikolopoulos On the virtualization of CUDA based GPU remoting on ARM and X86 machines in the GVirtuS framework published pages: , ISSN: 0885-7458, DOI: |
International Journal of Parallel Programming | 2019-05-30 |
| 2017 |
Raffaele Montella, Sokol Kosta, David Oro, Javier Vera, Carles Fernández, Carlo Palmieri, Diana Di Luccio, Giulio Giunta, Marco Lapegna, Giuliano Laccetti Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading published pages: e4286, ISSN: 1532-0626, DOI: 10.1002/cpe.4286 |
Concurrency and Computation: Practice and Experience 29/24 | 2019-05-30 |
| 2016 |
G. Fortetsanakis, M. Papadopouli How Beneficial is the WiFi Offloading? A Detailed Game-Theoretical Analysis in Wireless Oligopolies published pages: , ISSN: , DOI: |
International Symposium on a world of wireless, mobile and multimedia networks | 2019-05-30 |
| 2016 |
L. Lopez, F. J. Nieto, T. Velivassaki, S. Kosta, C. Hong, R. Montella, I. Mavroidis, C. Fernandez Heterogeneous Secure Multi-level Remote Acceleration Service for Low-Power Integrated Systems and Devices published pages: , ISSN: , DOI: |
Cloud Forward Conference | 2019-05-30 |
| 2016 |
E. Papadogiannaki, L. Koromilas, G. Vasiliadis, S. Ioannidis IEEE/ACM Transactions on Networking publication information published pages: C2-C2, ISSN: 1063-6692, DOI: 10.1109/TNET.2016.2546681 |
IEEE/ACM Transactions on Networking 24/2 | 2019-05-30 |
| 2017 |
Francisco Airton Silva, Sokol Kosta, Matheus Rodrigues, Danilo Oliveira, Teresa Maciel, Alessandro Mei, Paulo Martins Maciel Mobile Cloud Performance Evaluation Using Stochastic Models published pages: 1-1, ISSN: 1536-1233, DOI: 10.1109/TMC.2017.2749577 |
IEEE Transactions on Mobile Computing | 2019-05-30 |
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