Established Researcher at Workflows and Distributed Computing Group, Computer Sciences department, Barcelona Supercomputing Center.
SEEK ID: https://workflowhub.eu/people/305
Location:
Spain
ORCID:
https://orcid.org/0000-0003-0606-2512
Joined: 18th Jul 2022
Expertise: Workflows, Programming Models, High Performance Computing, Distributed Computing, Provenance
Tools: COMPSs


Roles
Team Administrator
- Cluster Emergent del Cervell Humà
- Workflows and Distributed Computing
- WP5 - Volcanoes
- WP6 - Tsunamis
- WP7 - Earthquakes
- WP8 - Anthropogenic geophysical extremes
- Pillar I: Manufacturing
- Pillar II: Climate
- Pillar III: Urgent computing for natural hazards
- eFlows4HPC general
Space Administrator
Related items
With present computational capabilities and data volumes entering the Exascale Era, digital twins of the Earth system will be able to mimic the different system components (atmosphere, ocean, land, lithosphere) with unrivaled precision, providing analyses, forecasts, and what if scenarios for natural hazards and resources from their genesis phases and across their temporal and spatial scales. DT-GEO aims at developing a prototype for a digital twin on geophysical extremes including earthquakes, ...
Teams: WP5 - Volcanoes, WP6 - Tsunamis, WP7 - Earthquakes, WP8 - Anthropogenic geophysical extremes
Web page: https://dtgeo.eu/
eFlows4HPC project aims at providing workflow software stack and an additional set of services to enable the integration of HPC simulations and modelling with big data analytics and machine learning in scientific and industrial applications. The project is also developing the HPC Workflows as a Service (HPCWaaS) methodology that aims at providing tools to simplify the development, deployment, execution and reuse of workflows. The project demonstrates its advances through three application Pillars ...
Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general
Web page: https://eflows4hpc.eu
Develop and implement 4 DTCs for volcano-related extremes: volcanic unrest (DTC-V1), forecast of volcanic ash clouds and fallout (DTC-V2), lava flows (DTC-V3), and volcanic gases (DTC-V4).
Test the 4 DTC-V through demonstrators at 3 relevant European sites: Mt. Etna in Italy (SD1), and Grímsvötn and Fagradalsfjall in Iceland (SD2 and SD3 respectively).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
It focuses on the construction of DigitalTwins for the prototyping of complex manufactured objects integrating state-of-the-art adaptive solvers with machine learning and data-mining, contributing to the Industry 4.0 vision.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/pillars/
Organisms: Not specified
It develops innovative adaptive workflows for climate and for the study of Tropical Cyclones (TC) in the context of the CMIP6 experiment, including in-situ analytics.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/pillars/
Organisms: Not specified
This team is to publish workflows executed from WPs that are not the three main pillars of the project.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/
Organisms: Not specified
It explores the modelling of natural catastrophes – in particular, earthquakes and their associated tsunamis shortly after such an event is recorded.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/pillars/
Organisms: Not specified
Distributed computing aims to offer tools and mechanisms that enable the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources in a transparent way. The research done in this team is based on the past expertise of the group, and on extending it towards the aspects of distributed computing that can benefit from this expertise. The team at BSC has a strong focus on programming models and resource management and scheduling in distributed computing ...
Space: eFlows4HPC
Public web page: https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing
Organisms: Not specified
Provide an integrated, comprehensive, modular modelling and testing framework
Develop multi-scale workflows applicable beyond the identified test-areas enabling improved physical understanding and progress beyond state-of-the-art in the earthquake process.
Develop and implement 6 DTCs covering earthquake-related aspects over long and short time scales
Test the 6 DTC-E at 4 relevant sites: Euro-Med (SD8), Central Apennines and Alto-Tiberina (SD9), Bedretto Lab (SD10) and the Alps (SD11).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
Develop and implement 1 DTC for Anthropogenic Geophysical Extreme Forecasting (AGEF) with 4 workflow outcomes: forecasting of long-range responses of georeservoirs (TC-AGEF1), forecasting of late responses of georeservoirs (TC-AGEF2), modelling of the largest magnitude (TC-AGEF3), and induced seismic hazard map estimation (TC-AGEF4).
Test the DTC-A through demonstrators at 2 relevant European sites: Strasbourg geothermal site in France (SD12) and KGHM copper ore mine in Poland (SD13).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
Develop and implement 1 DTC for data-informed Probabilistic Tsunami Forecasting (PTF) (DTC-T1)
Test the DTC-T1 through demonstrators at 4 relevant sites: Mediterranean sea coast (SD4), Eastern Sicily (SD5), Chilean cost (SD6), and Eastern Honshu coast in Japan (SD7).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
Project that aims to create the NeuroPlat portal for neurodrug design
Space: eFlows4HPC
Public web page: https://www.upf.edu/web/cech
Organisms: Not specified
Abstract (Expand)
Authors: Raul Sirvent, Javier Conejero, Francesc Lordan, Jorge Ejarque, Laura Rodriguez-Navas, Jose M. Fernandez, Salvador Capella-Gutierrez, Rosa M. Badia
Date Published: 1st Nov 2022
Publication Type: Proceedings
DOI: 10.1109/WORKS56498.2022.00006
Citation: 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS),pp.1-9,IEEE
Provenance registration is becoming more and more important, as we increase the size and number of experiments performed using computers. In particular, when provenance is recorded in HPC environments, it must be efficient and scalable. In this paper, we propose a provenance registration method for scientific workflows, efficient enough to run in supercomputers (thus, it could run in other environments with more relaxed restrictions, such as distributed ones). It also must be scalable in order ...
Creator: Raül Sirvent
Submitter: Raül Sirvent
BackTrackBB is a program for detection and space-time location of seismic sources based on multi-scale, frequency-selective statistical coherence of the wave field recorded by dense large-scale seismic networks and local antennas. The method is designed to enhance coherence of the signal statistical features across the array of sensors and consists of three steps. They are signal processing, space-time imaging and detection and location.
Source with inputs and outputs included (too big for ...
Name: SparseLU Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
The Sparse LU application computes an LU matrix factorization on a sparse blocked matrix. The matrix size (number of blocks) and the block size are parameters of the application.
As the algorithm progresses, the area of the matrix that is accessed is smaller; concretely, at each iteration, the 0th row and column of the current matrix are discarded. ...
Name: Matrix multiplication with Files Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.
If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements ...
Name: Matrix Multiplication Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.
If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements of the ...
Lysozyme in Water simplest version, from COMPSs Tutorial. The original idea of this worklfow comes from http://www.mdtutorials.com/gmx/lysozyme/index.html