Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism-Reference-Cited by-同舟云学术

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Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism

Published:2023-11 Issue: Volume:148 Page:623-635
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Szustak Lukasz^ORCID,Lawenda Marcin,Arming Sebastian,Bankhamer Gregor,Schweimer Christoph,Elsässer Robert

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference33 articles.

1. Is agent-based modelling the future of prediction?;Chattoe-Brown;Int. J. Soc. Res. Methodol.,2023

2. Optimizing spread dynamics on graphs by message passing;Altarelli;J. Stat. Mech. Theory Exp.,2013

3. Maximizing the spread of influence through a social network;Kempe,2003

4. Cost-effective outbreak detection in networks;Leskovec,2007

5. . Data parallelism, https://en.wikipedia.org/wiki/Data_parallelism.

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