Team created to publish applications during COMPSs Tutorials, and share them among participants.

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 ...

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).

This team is to publish workflows executed from WPs that are not the three main pillars of the project.

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).

It explores the modelling of natural catastrophes – in particular, earthquakes and their associated tsunamis shortly after such an event is recorded.

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).

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.

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).

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.

Project that aims to create the NeuroPlat portal for neurodrug design

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 ...

Session during the Innovative HPC workflows for industry (https://eflows4hpc.eu/event/innovative-hpc-workflows-for-industry/) that describes how Workflow Provenance is recorded with COMPSs: the background on the tools used, how the recording has been designed, and how to use it and inspect metadata.

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 ...

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 full COMPSs application

Lysozyme in water full COMPSs application, using dataset_small

Lysozyme in water full COMPSs application

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. ...

COMPSs Matrix Multiplication, out-of-core using files. Hypermatrix size used 2x2 blocks (MSIZE=2), block size used 2x2 elements (BSIZE=2)

Name: Matrix multiplication with Files, reproducibility example, without data persistence 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 ...

Name: Matrix multiplication with Files, reproducibility example 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 ...

Lysozyme in water full COMPSs application run at MareNostrum IV, using full dataset with two workers

Lysozyme in water sample COMPSs application

Cluster Comparison COMPSs application

Cholesky factorisation COMPSs application

K-means COMPSs application

Wordcount reduce version COMPSs application

Wordcount merge version COMPSs application

Lysozyme in water full COMPSs application, using dataset_small

Name: Word Count Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs

Description

Wordcount is an application that counts the number of words for a given set of files.

To allow parallelism the file is divided in blocks that are treated separately and merged afterwards.

Results are printed to a Pickle binary file, so they can be checked using: python -mpickle result.txt

This example also shows how to manually add input or ...

Name: Java Wordcount Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs

Description

Wordcount application. There are two versions of Wordcount, depending on how the input data is given.

Version 1

''Single input file'', where all the text is given in the same file and the chunks are calculated with a BLOCK_SIZE parameter.

Version 2

''Multiple input files'', where the text fragments are already in different files under ...

Name: Increment Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs

Description

Increment is an application that takes three different values and increases them a number of given times.

The purpose of this application is to show parallelism between the different increments.

Execution instructions

Usage:

runcompss --lang=python src/increment.py N initValue1 initValue2 initValue3 

where:

• N: Number of times to increase ...

Solutions to the exercises on the Workflow Provenance part, during January 2024 COMPSs Tutorial.