PROviding Computing solutions for ExaScale ChallengeS

Risultati finali

Validation report of 1st PROCESS update
Performance modelling and prediction

Performance modelling and prediction - concepts and initial results

Initial DEP and market research report
Updated DEP and market research report
Performance modelling and prediction - final approach
Updated requirements analysis, validation of 1st prototype and updated PROCESS architecture

The updated requirements analysis, validation of 1st prototype and updated PROCESS architecture comprises a. Common requirements analysis b. Validation report of 1st PROCESS prototype c. The updated PROCESS architecture and reference exascale architecture

"Progress report (UC#1-5)"
Quality Plan and Initial Data Management Plan
Performance modelling and prediction - progress report
Design of a data infrastructure for extreme-large datasets

Design of a data infrastructure for extreme-large datasets (Delivery, Storage, security) (Technical Report)

Whitepaper to explain general algorithmic concepts of the airline ancillaries use case
Final common requirements document
Updated report on architecture evaluation and dissemination
Report on architecture evaluation and dissemination
Validation report of PROCESS production prototype
Revised Data Management Plan

Revised Data Management Plan, revision 2

Validation of 2nd prototype and final PROCESS architecture

The validation of the 2nd prototype and final PROCESS architecture comprises a. Validation report of 2nd PROCESS update b. Final PROCESS architecture and reference exascale architecture

Initial state of the art and requirements analysis, PROCESS architecture

The Initial state of the art and requirements analysis and PROCESS architecture comprises: a. Initial per use case requirement analysis b. Common conceptual model and novel use case analysis - innovation potential, requirements c. The initial PROCESS architecture d. State of the art for systems, platform and service for extreme data applications e. Overview of the state of the art f. Analysis of requirements and design of the data orchestration system, tools and user interfaces of PROCESS

"Progress report (UC#1-5) – update"
Final report

"The final report consists of a. Progress report (UC#1-5) – final b. Innovation potential report - best practices and recommendations to maximise the impact of exascale data c. Final report on architecture evaluation and dissemination d. Final validation and integration with project pilot applications - demonstration and validation report. e. Final validation report of PROCESS production version f. Final DEP and market research report. g. Final Data Management Plan "

Second prototype with demonstration using chosen pilot application

20. Beta release of the data service

The beta release of the data service comprises a. Beta release of the data service, and 2nd integration of the data infrastructure with service orchestration b. Second prototype of the data orchestration system and tools of PROCESS c. Integrated user interface portal of PROCESS

First packaged version of PROCESS software
Alpha release of the data service

Alpha release of the data service and 1st integration of the data infrastructure with service orchestration

First prototype

The first PROCESS prototype comprises a. First prototype of the proposed services with demonstration b. First prototype of the data orchestration system and tools of PROCESS c. First user interface portal of PROCESS d. Initial benchmark set consisting of workflows, applications and data sets.

Final release

The final release of PROCESS consists of a. Final release of the data service, 3rd integration of the data infrastructure with service orchestration b. Production data orchestration system and tools of PROCESS c. Production user interface portal of PROCESS d. Final benchmark set consisting of workflows, applications and data sets. e. Final packaged PROCESS software

Pubblicazioni

Machine Learning in Medical Imaging

Autori: Martin Bobák, Ladislav Hluchý, Mara Graziani, Henning Müller
Pubblicato in: International conference on new research and development in technical and natural sciences, 2019, ISBN 9612904618
Editore: Complex System Company

Reference Exascale Architecture

Autori: Martin Bobak, Ladislav Hluchy, Adam S. Z. Belloum, Reginald Cushing, Jan Meizner, Piotr Nowakowski, Viet Tran, Ondrej Habala, Jason Maassen, Balazs Somoskoi, Mara Graziani, Matti Heikkurinen, Maximilian Hob, Jan Schmidt
Pubblicato in: 2019 15th International Conference on eScience (eScience), 2019, Pagina/e 479-487, ISBN 978-1-7281-2451-3
Editore: IEEE
DOI: 10.1109/escience.2019.00063

Reduction of radio astronomical observations to sky maps as an example of exascale data service

Autori: Hluchý, Ladislav and Maassen, Jason and Spreeuw, Hanno
Pubblicato in: 13th International Workshop on Parallel Numerics (ParNum) 2019, 2019
Editore: University of Zagreb

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity

Autori: James M. Brown, Vincent Andrearczyk, Veysi Yildiz, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller, J. Peter Campbell, Mara Graziani
Pubblicato in: Medical Imaging 2019: Computer-Aided Diagnosis, 2019, Pagina/e 63, ISBN 9781510625488
Editore: SPIE
DOI: 10.1117/12.2512584

A hybrid HPC and Cloud platform for multidisciplinary scientific application

Autori: Bubak, Marian and Meizner, Jan and Nowakowski, Piotr and Bobák, Martin and Habala, Ondrej and Hluchý, Ladislav and Tran, Viet and Belloum, Adam S.Z. and Cushing, Reginald and Hob, Maximilian and Kranzlmüller, Dieter and Schmidt, Jan
Pubblicato in: Supercomputing Frontiers Europe 2020, 2020
Editore: Supercomputing Frontiers and Innovations

Rocket: Efficient and Scalable All-Pairs Computations on Heterogeneous Platforms

Autori: Heldens, Stijn; Hijma, Pieter; van Werkhoven, Ben; Maassen, Jason; Bal, Henri; van Nieuwpoort, Rob
Pubblicato in: International Conference for High Performance Computing, Networking, Storage and Analysis, Numero 1, 2020, Pagina/e 1432-1443, ISBN 978-1-7281-9998-6
Editore: SC20
DOI: 10.1109/sc41405.2020.00105

Privacy-Preserving Record Linkage with Spark

Autori: Onno Valkering, Adam Belloum
Pubblicato in: 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2019, Pagina/e 440-448, ISBN 978-1-7281-0912-1
Editore: IEEE
DOI: 10.1109/ccgrid.2019.00058

Validating Data Integrity with Blockchain

Autori: Rosco Kalis, Adam Belloum
Pubblicato in: 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2018, Pagina/e 272-277, ISBN 978-1-5386-7899-2
Editore: IEEE
DOI: 10.1109/cloudcom2018.2018.00060

Exascale computing and data architectures for brownfield applications

Autori: Martin Bobak, Adam S. Z. Belloum, Piotr Nowakowski, Jan Meizner, Marian Bubak, Matti Heikkurinen, Ondrej Habala, Ladislav Hluchy
Pubblicato in: 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2018, Pagina/e 450-457, ISBN 978-1-5386-8097-1
Editore: IEEE
DOI: 10.1109/fskd.2018.8686900

Enhanced Data Modelling Approach with Interval Estimation

Autori: Peter Krammer, Marcel Kvassay, Ladislav Hiuchy
Pubblicato in: 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY), 2018, Pagina/e 000179-000184, ISBN 978-1-5386-6841-2
Editore: IEEE
DOI: 10.1109/sisy.2018.8524757

A Resource Usage Prediction System Using Functional-Link and Genetic Algorithm Neural Network for Multivariate Cloud Metrics

Autori: Thieu Nguyen, Nhuan Tran, Binh Minh Nguyen, Giang Nguyen
Pubblicato in: 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA), 2018, Pagina/e 49-56, ISBN 978-1-5386-9133-5
Editore: IEEE
DOI: 10.1109/soca.2018.00014

Visualizing and Interpreting Feature Reuse of Pretrained CNNs for Histopathology

Autori: Mara Graziani, Vincent Andrearczyk and Henning Müller
Pubblicato in: MVIP 2019: Irish Machine Vision and Image Processing Conference Proceedings, 2019, ISBN 9780993420740
Editore: Technological University Dublin
DOI: 10.21427/q66s-nq40

Unlocking the LOFAR LTA

Autori: Hanno Spreeuw, Souley Madougou, Ronald Van Haren, Berend Weel, Adam Belloum, Jason Maassen
Pubblicato in: 2019 15th International Conference on eScience (eScience), 2019, Pagina/e 467-470, ISBN 978-1-7281-2451-3
Editore: IEEE
DOI: 10.1109/escience.2019.00061

Interpreting Intentionally Flawed Models with Linear Probes

Autori: Mara Graziani, Henning Muller, Vincent Andrearczyk
Pubblicato in: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, Pagina/e 743-747, ISBN 978-1-7281-5023-9
Editore: IEEE
DOI: 10.1109/iccvw.2019.00096

Processing Radio Astronomical Data Using the PROCESS Software Ecosystem

Autori: Souley Madougou, Hanno Spreeuw, Jason Maassen
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 838-859, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_838

Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure

Autori: Jan Meizner, Piotr Nowakowski, Jan Kapala, Patryk Wojtowicz, Marian Bubak, Viet Tran, Martin Bobák, Maximilian Höb
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 860-880, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_860

Anomaly Detection Method for Online Discussion

Autori: Peter Krammer, Ondrej Habala, Ján Mojžiš, Ladislav Hluchý, Marek Jurkovič
Pubblicato in: Procedia Computer Science, Numero 155, 2019, Pagina/e 311-318, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2019.08.045

Process Data Infrastructure and Data Services

Autori: Reginald Cushing, Onno Valkering, Adam Belloum, Souley Madougou, Martin Bobak, Ondrej Habala, Viet Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani, Henning Müller
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 724-756, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_724

The Landscape of Exascale Research

Autori: Stijn Heldens, Pieter Hijma, Ben Van Werkhoven, Jason Maassen, Adam S. Z. Belloum, Rob V. Van Nieuwpoort
Pubblicato in: ACM Computing Surveys, Numero 53/2, 2020, Pagina/e 1-43, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3372390

Preface to the Special Issue on Providing Computing Solutions for Exascale Challenges

Autori: Dieter Kranzlmüller, Maximilian Höb
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 617-621, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_617

New Method for Constructing a Visibility Graph-Network in 3D Space and a New Hybrid System of Modeling

Autori: Matej Babič, Ladislav Hluchy, Peter Krammer, Branko Matovič, Ravi Kumar, Pavel Kovač
Pubblicato in: Computing and Informatics, Numero 36/5, 2017, Pagina/e 1107-1126, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.4149/cai_2017_5_1107

Predicting the Probability of Exceeding Critical System Thresholds

Autori: P. Krammer, M. Kvassay, L. Hluchý
Pubblicato in: PROBLEMS IN PROGRAMMING, Numero 2-3, 2018, Pagina/e 189-196, ISSN 1727-4907
Editore: Slovak Academic Press Ltd.
DOI: 10.15407/pp2018.02.189

Application of Advanced Information and Communication Technologies in a Local Flood Warning System

Autori: Ivan Mrnčo, Peter Blštak, Peter Hudec, Matej Kochan, Tomáš Gibala, Ondrej Habala
Pubblicato in: Computing and Informatics, Numero 37/6, 2018, Pagina/e 1516-1535, ISSN 2585-8807
Editore: Institute of Informatics Slovak Academy of Sciences
DOI: 10.4149/cai_2018_6_1516

Clustering analysis of online discussion participants

Autori: Peter Krammer, Marcel Kvassay, Ján Mojžiš, Ivana Budinská, Ladislav Hluchý, Marek Jurkovič
Pubblicato in: Procedia Computer Science, Numero 134, 2018, Pagina/e 186-195, ISSN 1877-0509
Editore: Elsevier Science
DOI: 10.1016/j.procs.2018.07.161

Reference Exascale Architecture (Extended Version)

Autori: Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet Tran, Reginald Cushing, Onno Valkering, Adam Belloum, Mara Graziani, Henning Müller
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 644-677, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_644

Cookery: A Framework for Creating Data Processing Pipeline Using Online Services

Autori: Mikołaj Baranowski, Adam Belloum, Reginald Cushing, Onno Valkering
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 678-694, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_678

Concept attribution: Explaining CNN decisions to physicians

Autori: Graziani M., Andrearczyk V., Marchand-Maillet S., Müller H.
Pubblicato in: Computers in Biology and Medicine, Numero 123, 2020, Pagina/e 103865, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2020.103865

Breast Histopathology with High-Performance Computing and Deep Learning

Autori: Mara Graziani, Ivan Eggel, François Deligand, Martin Bobák, Vincent Andrearczyk, Henning Müller
Pubblicato in: Computing and Informatics, Numero 39/4, 2020, Pagina/e 780-807, ISSN 1335-9150
Editore: Slovak Academic Press Ltd.
DOI: 10.31577/cai_2020_4_780

Enabling EASEY Deployment of Containerized Applications for Future HPC Systems

Autori: Maximilian Höb, Dieter Kranzlmüller
Pubblicato in: Computational Science – ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part I, Numero 12137, 2020, Pagina/e 206-219, ISBN 978-3-030-50370-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-50371-0_15

Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging

Autori: Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
Pubblicato in: Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings, Numero 12446, 2020, Pagina/e 23-32, ISBN 978-3-030-61165-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-61166-8_3

Heterogeneous Exascale Computing

Autori: Ladislav Hluchý, Martin Bobák, Henning Müller, Mara Graziani, Jason Maassen, Hanno Spreeuw, Matti Heikkurinen, Jörg Pancake-Steeg, Stefan Spahr, Nils Otto vor dem Gentschen Felde, Maximilian Höb, Jan Schmidt, Adam S. Z. Belloum, Reginald Cushing, Piotr Nowakowski, Jan Meizner, Katarzyna Rycerz, Bartosz Wilk, Marian Bubak, Ondrej Habala, Martin Šeleng, Štefan Dlugolinský, Viet Tran, Giang N
Pubblicato in: Recent Advances in Intelligent Engineering - Volume Dedicated to Imre J. Rudas’ Seventieth Birthday, Numero 14, 2020, Pagina/e 81-110, ISBN 978-3-030-14349-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-14350-3_5

Regression Concept Vectors for Bidirectional Explanations in Histopathology

Autori: Mara Graziani, Vincent Andrearczyk, Henning Müller
Pubblicato in: Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings, Numero 11038, 2018, Pagina/e 124-132, ISBN 978-3-030-02627-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-02628-8_14

Risultati finali

Pubblicazioni

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