In the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these simulations are combined with Artificial Intelligence (AI) and High-Performance Data Analytics …
Organització 6th BSC Severo Ochoa Doctoral Symposium
Títol Orquestració de software heterogeni dins de fluxos de Data Science
Títol Original Orchestration of Software Packages in Data Science Workflows
Organització MS12 - Task-based Programming for Scientific Computing: Runtime Support - Part I of II
SIAM - CSE19
Títol Parallelització automàtica basada en tasques de codis Python
Títol Original Automatic Task-based Parallelization of Python Codes
La Distributed Stream Library (DistroStreamLib) permet executar fluxos de treball híbrids basats en tasques i dades.
Organització SuperComputing 2018 - SC18
Barcelona Supercomputing Center - Booth #2038
Títol Demo de l’ús de PyCOMPSs a PyMDSetup
Títol Original Demo on the use of PyCOMPSs in PyMDSetup
Organització 8th Workshop on Python for High-Performance and Scientific Computing
Títol AutoParallel: Un mòdul de Python per parallelitzar automàticament bucles tancats imbricats i executar-los en entorns distribuïts
Títol Original AutoParallel: A Python Module for Automatic Parallelization and Distributed Execution of Affine Loop Nests
The last improvements in programming languages, programming models, and frameworks have focused on abstracting the users from many programming issues. Among others, recent programming frameworks include simpler syntax, automatic memory management and …
This paper describes the success story of the adaptation of the NMMB-MONARCH online multi-scale atmospheric dust model to PyCOMPSs in order to exploit its inherent parallelism with the minimal developer effort. The paper also includes an evaluation …
Python has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming interface, the large number of libraries and modules that have been made available by a large number of contributors, …
AutoParallel paralelitza de forma automàtica bucles refinats per aplicacions Python.