Jedule: A Tool for Visualizing Schedules of Parallel Applications

Sascha Hunold (1) , Ralf Hoffmann (2) , Frédéric Suter (3)

1 ICSI - International Computer Science Institute [Berkeley]
2 Department of Computer Science
3 CC-IN2P3 - Centre de Calcul de l'IN2P3

Task scheduling is one of the most prominent problems in the era of parallel computing. We find scheduling algorithms in every domain of computer science, e.g., mapping multiprocessor tasks to clusters, mapping jobs to grid resources, or mapping fine-grained tasks to cores of multicore processors. Many tools exist that help understand or debug an application by presenting visual representations of a certain program run, e.g., visualizations of MPI traces. However, often developers want to get a global and abstract view of their schedules first. In this paper we introduce Jedule, a tool dedicated to visualize schedules of parallel applications. We demonstrate the effectiveness of Jedule by showing how it helped analyzing problems in several case studies.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Sascha Hunold, Ralf Hoffmann, Frédéric Suter. Jedule: A Tool for Visualizing Schedules of Parallel Applications. 1st International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2010), Sep 2010, San Diego, United States. pp.169-178, ⟨10.1109/ICPPW.2010.34⟩. ⟨hal-00533962⟩