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RAPID

Heterogeneous Secure Multi-level Remote Acceleration Service for Low-Power Integrated Systems and Devices

Total Cost €

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EC-Contrib. €

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Partnership

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 RAPID 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.

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Project "RAPID" data sheet

The following table provides information about the project.

Coordinator
IDRYMA TECHNOLOGIAS KAI EREVNAS 

Organization address
address: N PLASTIRA STR 100
city: IRAKLEIO
postcode: 70013
website: www.forth.gr

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 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.

# participants  country  role  EC contrib. [€] 
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

List of 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
List of publications.
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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