An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems
H. Brandstaetter-Mueller, A. Hoelzlwimmer, B. Parsapour, G. Lirk, P. Kulczycki - An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems - 55th GMDS Congress, Mannheim, Germany, 2010, pp. 354-355
Managing a group of heterogeneous compute nodes, especially if the heterogeneity concerns
the type of main processing unit, is a nontrivial task. This framework sets out to allow the dynamic
and intelligent scheduling and distribution of computational tasks across such a hybrid
The framework supports dynamic managing of the tasks as well as a prediction of run times
for some often-used algorithms, which allows the scheduler to further optimize the selection of
compute nodes to run the calculation on.