TY - GEN
T1 - Jedule
T2 - 2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
AU - Hunold, Sascha
AU - Hoffmann, Ralf
AU - Suter, Frédéric
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/78649811258
U2 - 10.1109/ICPPW.2010.34
DO - 10.1109/ICPPW.2010.34
M3 - Conference contribution
AN - SCOPUS:78649811258
SN - 9780769541570
T3 - Proceedings of the International Conference on Parallel Processing Workshops
SP - 169
EP - 178
BT - Proceedings - 2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
Y2 - 13 September 2010 through 16 September 2010
ER -