Titlebook: Euro-Par 2019: Parallel Processing; 25th International C Ramin Yahyapour Conference proceedings 2019 Springer Nature Switzerland AG 2019 ar

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Load-Balancing for Parallel Delaunay Triangulationssets, we achieve nearly perfectly balanced partitions and small border triangulations. This almost cuts running time in half compared to non-data-sensitive division schemes on inputs exhibiting an exploitable underlying structure.

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PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clustersances. We evaluated the algorithm using data clustering, matrix multiplication, and bioinformatics applications and compared with existing load-balancing algorithms. PLB-HAC obtained the highest performance gains with more heterogeneous clusters and larger problems sizes, where a more refined load-distribution is required.

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,Ortsbewegliche Nahf?rdermittel,ns..In this paper, we combine compression and checkpointing for the first time to compute a realistic seismic inversion. The combination of checkpointing and compression allows larger adjoint computations compared to using only compression, and reduces the recomputation overhead significantly compared to using only checkpointing.

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https://doi.org/10.1007/978-3-662-67102-3on time of the DAG (also called makespan). We show that the problem is NP-complete for graphs of depth at least three but polynomial for graphs of depth at most two. In addition, we provide polynomial-time algorithms for some usual classes of graphs (trees, series-parallel graphs).

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Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problemsns..In this paper, we combine compression and checkpointing for the first time to compute a realistic seismic inversion. The combination of checkpointing and compression allows larger adjoint computations compared to using only compression, and reduces the recomputation overhead significantly compared to using only checkpointing.

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Scheduling on Two Unbounded Resources with Communication Costson time of the DAG (also called makespan). We show that the problem is NP-complete for graphs of depth at least three but polynomial for graphs of depth at most two. In addition, we provide polynomial-time algorithms for some usual classes of graphs (trees, series-parallel graphs).

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