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Workshop on Software Productivity for Extreme-scale Science, January 13-14, 2014, Hilton Hotel, Rockville, MD

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The article was published on 2014-12-31 and is currently open access. It has received 4 citations till now.

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Computational reproducibility of scientific workflows at extreme scales

TL;DR: An approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics is proposed that is agnostic to the type of provenance data it captures so that both the reproducecibility of scientific results and that of performance can be explored with the tools.
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Dynamic load balancing in distributed exascale computing systems

TL;DR: The presented method overcomes the challenges of dynamic behavior in the next generation problems and proposes an optimized method to calculate the exact portion of the load that should be transferred to perform the optimized load balancing.
Journal ArticleDOI

JAUMIN: a programming framework for large-scale numerical simulation on unstructured meshes

TL;DR: This paper introduces a programming framework named JAUMIN for large-scale numerical applications on unstructured meshes that is suitable for modern supercomputers with tens of thousands of CPU cores.
Journal ArticleDOI

JCOGIN: a programming framework for particle transport on combinatorial geometry

TL;DR: JCOGIN provides a combinatorial geometry data model and a patch-based parallel computing model to manage the data distribution in parallel computing and implements the hybrid parallelism of the domain decomposition and the particle parallelism on MPI/OpenMP to overcome the bottleneck of huge memory demand and long computational time.