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Project: ASPIDE: exAScale ProgramIng models for ...

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English

Title:

ASPIDE: exAScale ProgramIng models for extreme Data procEssing

Description:

Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in (near) real-time by using a very large number of memory/storage elements and Exascale computing systems. Immediate examples are the scientific data produced at a rate of hundreds of gigabits-per-second that must be stored, filtered and analyzed, the millions of images per day that must be mined (analyzed) in parallel, the one billion of social data posts queried in real-time on an in-memory components database. Traditional disks or commercial storage cannot handle nowadays the extreme scale of such application data.

Following the need of improvement of current concepts and technologies, ASPIDE’s activities focus on data-intensive applications running on systems composed of up to millions of computing elements (Exascale systems). Practical results will include the methodology and software prototypes that will be designed and used to implement Exascale applications.

The ASPIDE project will contribute with the definition of a new programming paradigms, APIs, runtime tools and methodologies for expressing data-intensive tasks on Exascale systems, which can pave the way for the exploitation of massive parallelism over a simplified model of the system architecture, promoting high performance and efficiency, and offering powerful operations and mechanisms for processing extreme data sources at high speed and/or real-time.

Keywords:

High performance computing, Scientific computing and data processing, Software Design & Development, Data intensive, Programming model, Productivity, High performance data analytics, Data centric,Deep Learning, Urban computing, Sentiment analytics

Short title:	ASPIDE
Period:	15.06.2018 - 30.06.2022
Contact e-mail:	radu.prodan@aau.at
Homepage:	https://www.aspide-project.eu/

Employees

Role

Time period

(internal)

Project leader
(Authorised Person)

15.06.2018 - 30.06.2022

(internal)

Research staff
PhD student

01.07.2018 - 14.12.2020
01.07.2018 - 14.12.2020

(internal)

Research staff
Project leader

15.06.2018 - 14.06.2021
15.06.2018 - 14.06.2021

(internal)

Research staff
PhD student

01.10.2018 - 14.12.2020
01.10.2018 - 14.12.2020

(internal)

Research staff

15.09.2019 - 14.12.2020

(internal)

Research staff

01.01.2020 - 14.06.2021

Assignment

Organisational unit

Fakultät für Technische Wissenschaften

Categorisation

Project type	Research funding (on request / by call for proposals)
Funding type	§27
Research type	Applied research
Subject areas	102025 - Distributed systems 102022 - Software development
Research Cluster	No research Research Cluster selected
Gender aspects	Genderrelevance not selected
Project focus	Science to Science (Quality indicator: I) Classification raster of the assigned organisational units: Institut für Informationstechnologie
working groups	Distributed Multimedia Systems

Funding

Funding program

Organisation: European Commission

Cooperations

Organisation

Address

Calle Madrid 126
ES - 28903 Getafe, Madrid

Bulevardul Vasile Pârvan 4
RO - 300223 Timișoara

Noskowskiego 12/14
PL - 61-704 Poznań

Plaza Carlos Trias Bertran 7
ES - 28020 Madrid

Rue Jean Jaures 68
FR - 78340 Les Clayes Sous Bois

Via Pietro Bucci
IT - 87036 Arcavacata di Rende

Via di Donna Olimpia 166
IT - 00152 Rom

Research activities

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Projects	No related projects
Publications	FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance (2021) Y. Khalid, M. Aleem, U. Ahmed, R. Prodan, M. Islam, M. Iqbal Computing No Publisher selected to publication Multi-objective scheduling of extreme data scientific workflows in Fog Multi-objective scheduling of extreme data scientific workflows in Fog (2020) V. De Maio, D. Kimovski Future Generation Computer Systems No Publisher selected to publication M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications (2020) V. Kashanskii, D. Kimovski, R. Prodan, P. Agrawal, F. Marozzo, G. Iuhasz, M. Marozzo, J. Garcia-Blas PDP 2020 Proceedings of the 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing No Publisher selected to publication FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos (2020) P. Agrawal, A. Zabrovskiy, A. Ilangovan, C. Timmerer, R. Prodan Cluster Computing No Publisher selected to publication Some aspects of the workflow scheduling in the computing continuum systems Some aspects of the workflow scheduling in the computing continuum systems (2021) V. Kashanskii, R. Prodan, G. Radchenko GRID' 2021 Proceedings of the 9th International Conference Distributed Computing and Grid Technologies in Science and Education No Publisher selected to publication ASPIDE Project: Perspectives on the Scalable Monitoring and Auto-tuning ASPIDE Project: Perspectives on the Scalable Monitoring and Auto-tuning (2020) R. Prodan, V. Kashanskii, D. Kimovski, P. Agrawal Austrian HPC Meeting 2020 (AHPC2020) No Publisher selected to publication Autotuning of Exascale Applications With Anomalies Detection Autotuning of Exascale Applications With Anomalies Detection (2021) D. Kimovski, R. Mathá, G. Iuhasz, F. Marozzo, D. Petcu, R. Prodan Frontiers in Big Data No Publisher selected to publication Automated Workflows Scheduling via Two-Phase Event-based MILP Heuristic for MRCPSP Problem Automated Workflows Scheduling via Two-Phase Event-based MILP Heuristic for MRCPSP Problem (2021) V. Kashanskii, G. Radchenko, R. Prodan, A. Zabrovskiy, P. Agrawal Austrian-Slovenian HPC Meeting 2021 - ASHPC21 No Publisher selected to publication Bank Cheque Validation Using Image Processing Bank Cheque Validation Using Image Processing (2019) D. Chaudhary, P. Agrawal, V. Madaan Proceedings of the 3rd International Conference On Advanced Informatics For Computing Research No Publisher selected to publication Bilingual Machine Translation System Between Hindi and Sanskrit Languages Bilingual Machine Translation System Between Hindi and Sanskrit Languages (2019) N. Bhadwal, P. Agrawal, V. Madaan Proceedings of the 3rd International Conference On Advanced Informatics For Computing Research No Publisher selected to publication Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum (2021) V. Kashanskii, G. Radchenko, R. Prodan ICCS '21 Proceedings of the 21st International Conference on Computational Science No Publisher selected to publication Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness (2020) R. Mathá, S. Ristov, T. Fahringer, R. Prodan IEEE Transactions on Parallel and Distributed Systems (TPDS) No Publisher selected to publication Wie man Supercomputer programmiert Wie man Supercomputer programmiert (2019) R. Prodan Der Standard No Publisher selected to publication
Events	No related events
Lectures	Automated Workflows Scheduling via Two-Phase Event-based MILP Heuristic for MRCPSP Problem Automated Workflows Scheduling via Two-Phase Event-based MILP Heuristic for MRCPSP Problem V. Kashanskii, G. Radchenko, R. Prodan, A. Zabrovskiy, P. Agrawal since 31.05.2021 To Lecture Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum V. Kashanskii, G. Radchenko, R. Prodan since 18.06.2021 To Lecture ASPIDE Project: Perspectives on the Scalable Monitoring and Auto-tuning ASPIDE Project: Perspectives on the Scalable Monitoring and Auto-tuning R. Prodan, V. Kashanskii, D. Kimovski, P. Agrawal since 20.02.2020 To Lecture Some aspects of the workflow scheduling in the computing continuum systems Some aspects of the workflow scheduling in the computing continuum systems V. Kashanskii, R. Prodan, G. Radchenko since 08.07.2021 To Lecture Wie man Supercomputer programmiert Wie man Supercomputer programmiert R. Prodan since 20.03.2019 To Lecture Monitoring data collection and mining for Exascale systems Monitoring data collection and mining for Exascale systems D. Kimovski, G. Iuhasz since 22.01.2020 To Lecture Mobility-Aware Scheduling of Extreme Data Workflows across the Computing Continuum Mobility-Aware Scheduling of Extreme Data Workflows across the Computing Continuum D. Kimovski since 20.01.2020 To Lecture M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications V. Kashanskii, D. Kimovski, R. Prodan, P. Agrawal, F. Marozzo, G. Iuhasz, M. Marozzo, J. Garcia-Blas since 12.03.2020 To Lecture