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The AllScale Runtime Interface - Theoretical Foundation and Concept.

, , , , , and . MTAGS@SC, page 13-19. IEEE Computer Society, (2016)

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Multi-objective list scheduling of workflow applications in distributed computing infrastructures., , and . J. Parallel Distrib. Comput., 74 (3): 2152-2165 (2014)Compile-Time Estimation of Communication Costs for Data Parallel Programs.. J. Parallel Distrib. Comput., 39 (1): 46-65 (1996)Special Section: DAPSYS, workshop on distributed and parallel systems., , and . Future Generation Comp. Syst., 26 (3): 471-472 (2010)Overhead Analysis of Scientific Workflows in Grid Environments., and . IEEE Trans. Parallel Distrib. Syst., 19 (3): 378-393 (2008)A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments., , and . IEEE Trans. Parallel Distrib. Syst., 24 (6): 1203-1212 (2013)A Unified Symbolic Evaluation Framework for Parallelizing Compilers., and . IEEE Trans. Parallel Distrib. Syst., 11 (11): 1105-1125 (2000)Parallel and distributed systems: UML based modeling of performance oriented parallel and distributed applications., and . Winter Simulation Conference, page 497-505. WSC, (2002)Bi-criteria Scheduling of Scientific Workflows for the Grid., , , and . CCGRID, page 9-16. IEEE Computer Society, (2008)Performance analysis for distributed and parallel Java programs with Aksum., and . CCGRID, page 1024-1031. IEEE Computer Society, (2005)Identification, Modelling and Prediction of Non-periodic Bursts in Workloads., , , , and . CCGRID, page 485-494. IEEE Computer Society, (2010)