Essential Site Maintenance: Authorea-powered sites will be updated circa 15:00-17:00 Eastern on Tuesday 5 November.
There should be no interruption to normal services, but please contact us at [email protected] in case you face any issues.

loading page

PyCOMPSs as an instrument for Translational Computer Science
  • +2
  • Rosa M. Badia,
  • Javier Conejero,
  • Jorge Ejarque,
  • Daniele Lezzi,
  • Francesc Lordan
Rosa M. Badia
Barcelona Supercomputing Center

Corresponding Author:[email protected]

Author Profile
Javier Conejero
Barcelona Supercomputing Center
Jorge Ejarque
Barcelona Supercomputing Center
Daniele Lezzi
Barcelona Supercomputing Center
Francesc Lordan
Barcelona Supercomputing Center

Abstract

With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that require them. This poses good initial conditions for Translational Computer Science (TCS), although this does not always occur. This paper describes our experience with the PyCOMPSs project, a programming model for distributed computing. While it is a research instrument for our team, it has also been applied in multiple real use cases under the umbrella of European Funded projects or as part of internal projects between various departments at the Barcelona Supercomputing Center (BSC). The paper illustrates how the authors have engaged in TCS as an underlying research methodology, collecting experiences from three European projects.

20 Feb 2022Submitted to Computing in Science and Engineering
21 Feb 2022Published in Computing in Science and Engineering
01 Mar 2022Published in Computing in Science & Engineering volume 24 issue 2 on pages 79-84. 10.1109/MCSE.2022.3152945