Workflows
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PyCOMPSs implementation of Probabilistic Tsunami Forecast (PTF). PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms. Run of the Boumerdes-2003 event test-case with 1000 scenarios, 8h tsunami simulation for each and forecast calculations for partial and full ensembles with focal mechanism and tsunami data updates.
Type: COMPSs
Creators: Louise Cordrie, Jorge Ejarque, Carlos Sánchez Linares, Jacopo Selva, Jorge Macías, Steven J. Gibbons, Fabrizio Bernardi, Roberto Tonini, Rosa M. Badia, Sonia Scardigno, Stefano Lorito, Finn Løvholt, Fabrizio Romano, Manuela Volpe, Alessandro D'Anca, Marc de la Asunción, Manuel J. Castro
Submitter: Jorge Ejarque
Name: Lanczos SVD Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum4
Lanczos SVD for computing singular values needed to reach an epsilon of 1e-3 on a matrix of (150000, 150). The input matrix is generated synthetically. This application used dislib-0.9.0
Type: COMPSs
Creators: Fernando Vázquez-Novoa, Workflows and Distributed Computing
Submitter: Fernando Vázquez-Novoa
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 ...
Type: COMPSs
Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
Name: TruncatedSVD (Randomized SVD) Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum4
TruncatedSVD (Randomized SVD) for computing just 456 singular values out of a (3.6M x 1200) size matrix. The input matrix represents a CFD transient simulation of aire moving past a cylinder. This application used dislib-0.9.0
Type: COMPSs
Creators: Cristian Tatu, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Cristian Tatu
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 ...
Type: COMPSs
Creators: Jorge Ejarque, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
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 ...
Type: COMPSs
Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
Simple is an application that takes one value and increases it by five units. The purpose of this application is to show how tasks are managed by COMPSs.
Execution instructions
Usage:
runcompss --lang=python src/simple.py initValue
where:
- initValue: Initial value for counter
Execution Examples
runcompss --lang=python src/simple.py 1
runcompss
...
Type: COMPSs
Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
Name: K-means Contact Person: support-compss@bsc.es Access Level: Public License Agreement: Apache2 Platform: COMPSs
Description
K-means clustering is a method of cluster analysis that aims to partition ''n'' points into ''k'' clusters in which each point belongs to the cluster with the nearest mean. It follows an iterative refinement strategy to find the centers of natural clusters in the data.
When executed with COMPSs, K-means first generates the input points by means of ...
Type: COMPSs
Creators: Jorge Ejarque, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
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 every file is treated separately and merged afterwards.
Execution instructions
Usage:
runcompss --lang=python src/wordcount.py datasetPath
where:
- datasetPath: Absolute path of the file to parse (e.g. /home/compss/tutorial_apps/python/wordcount/data/) ...
Type: COMPSs
Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
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. ...
Type: COMPSs
Creators: Jorge Ejarque, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing)
Submitter: Raül Sirvent