PyCOMPSs: Parallel computational workflows in Python

PyCOMPSs: Parallel computational workflows in Python is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/ijhpca/TejedorBAQBTCL17
P356DOI10.1177/1094342015594678

P50authorYolanda BecerraQ55457360
Rosa M. BadiaQ56958186
Jesus LabartaQ58325733
Jordi TorresQ61756162
Toni CortesQ61756283
P2093author name stringAnna Queralt
Enric Tejedor
Guillem Alomar
P2860cites workRuffus: a lightweight Python library for computational pipelinesQ33694223
COSMOS: Python library for massively parallel workflowsQ34285289
Programming Grid Applications with GRID SuperscalarQ57613270
Swift: Fast, Reliable, Loosely Coupled Parallel ComputationQ58947978
P4510describes a project that usesPythonQ28865
P433issue1
P921main subjectPythonQ28865
workflowQ627335
P6104maintained by WikiProjectWikiProject SoftwareQ15659621
P304page(s)66-82
P577publication date2016-07-27
P1433published inInternational Journal of High Performance Computing ApplicationsQ15710145
P1476titlePyCOMPSs: Parallel computational workflows in Python
P478volume31

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cites work (P2860)
Q90044707BioExcel Building Blocks, a software library for interoperable biomolecular simulation workflows
Q113750405DDS: integrating data analytics transformations in task-based workflows

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