Titlebook: High Performance Computing for Computational Science – VECPAR 2018; 13th International C Hermes Senger,Osni Marques,Veronica Gil-Costa Conf

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armistice

Enteropathic

Frederico Cabral,Carla Osthoff,Roberto Pinto Souto,Gabriel P. Costa,Sanderson L. Gonzaga de Oliveira.., ..); ..(.., ..) = m..(.., ..),..(..,..)} + ..(..,..). . is defined as the completion time of the last job, ..(.., ..). The goal is to obtain the .-job sequence that minimizes the makespan. The search space consists of .! possible job sequences. The problem is NP-hard.

growth-factor

per the user’s requirements. The controller’s application in future research prospects ranges from the manual operation of industrial machinery to the safety testing/prototyping of medical robots. The overall system is fast, reliable and convenient.

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Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithmsented on two test-cases: N-Queens and the Asymmetric Travelling Salesman Problem. The proposed algorithm allows different CDP-based backtracking from the literature to solve memory demanding problems, adaptively with respect to the number of recursive kernel generations and the presence of dynamic allocations on GPU.

STENT

Performance Evaluation of Two Load Balancing Algorithms for Hybrid Clusters work in approximately the same time. This work uses a simulator of the Human Immune System (HIS) to evaluate two load balancing algorithms, a static and a dynamic ones, that can be used for this purpose. The results have shown that the dynamic load balancing algorithm outperforms the static one by a factor of up to 1.07.

Angiogenesis

A Timer-Augmented Cost Function for Load Balanced DSMC create a timer-augmented cost function which both converges quickly and yields well-balanced processor decompositions. When compared to a particle-based performance model alone, our method achieves 2. speedup at steady-state on up to 1024 processors for a test case consisting of a Mach 9 argon jet impacting a solid wall.

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A New Parallel Benchmark for Performance Evaluation and Energy Consumptionhow that this set of applications has enough features to form a parallel benchmark. The results show that there is no single best case that provides both better performance and low energy consumption in the presented scenarios. However, PThreads and OpenMP achieve the best trade-offs between performance and energy in most cases.

Inelasticity

Communication–Free Parallel Mesh Multiplication for Large Scale Simulationsthe interpolation order and to the grid size. Unstructured parallel mesh refinement is computationally expensive due to subdomains interface communication. In the present work we develop a uniform edge-based parallel tetrahedral mesh refinement scheme completely free of communication, fast, simple t

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