LeoTask: a fast, flexible and reliable framework for computational research
Changwang Zhang, Shi Zhou, and Benjamin M. Chain

TL;DR
LeoTask is a Java framework that simplifies and accelerates computational research by enabling parallel execution, flexible parameter exploration, reliable recovery, and integration with plotting tools.
Contribution
It introduces a comprehensive Java library that streamlines complex computational research tasks with automation, flexibility, and robustness features.
Findings
Enables automatic parallel execution on multiple CPU cores.
Supports flexible parameter space exploration and result aggregation.
Provides reliable recovery from interruptions and integration with Gnuplot.
Abstract
LeoTask is a Java library for computation-intensive and time-consuming research tasks. It automatically executes tasks in parallel on multiple CPU cores on a computing facility. It uses a configuration file to enable automatic exploration of parameter space and flexible aggregation of results, and therefore allows researchers to focus on programming the key logic of a computing task. It also supports reliable recovery from interruptions, dynamic and cloneable networks, and integration with the plotting software Gnuplot.
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Taxonomy
TopicsScientific Computing and Data Management · Distributed and Parallel Computing Systems · Complex Network Analysis Techniques
