Parallel Scalability and Efficiency of HEVC Parallelization Approaches

Parallel-Horus: On the Efficiency of Lazy Parallelization and the Introduction of Task Parallel Support

In this paper we evaluate the Parallel-Horus parallelization strategy, and propose some approaches for further optimization. Also, we compare the Parallel-Horus approach with other strategies described in the literature. Furthermore, we investigate if adding automatic task parallelization is possible, and if this can be done in a user-transparent way.

Scalability via Parallelization of OWL Reasoning

Practical scalability of reasoning is an important premise for the adoption of semantic technologies in a real-world setting. Many highly effective optimizations for reasoning with expressive OWL ontologies have been invented and implemented over the last decades. This paper describes our approach for concurrent computation of the nondeterministic choices inherent to the OWL tableau reasoning p...

Evaluation of Parallelization Strategies for the Emerging HEVC Standard

MIDACO Parallelization Scalability on 200 MINLP Benchmarks

This contribution presents a numerical evaluation of the impact of parallelization on the performance of an evolutionary algorithm for mixed-integer nonlinear programming (MINLP). On a set of 200 MINLP benchmarks the performance of the MIDACO solver is assessed with gradually increasing parallelization factor from one to three hundred. The results demonstrate that the efficiency of the algorith...

Parallelization and Scalability of a Spectral Element Solver

Direct numerical simulation (DNS) of turbulent flows is widely recognized to demand fine spatial meshes, small timesteps, and very long run-times to properly resolve the flow field. To overcome these limitations, most DNS is performed on supercomputing machines. With the rapid development of terascale (and, eventually, petascale) computing on thousands of processors, it has become imperative to...