We present our benchmark results for a newly developed multi-phase chemodynamic code by using the raceSPH library on different hardware accelerators. A maximum speedup of 24× is reached for the SPH part in the se...
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We present our benchmark results for a newly developed multi-phase chemodynamic code by using the raceSPH library on different hardware accelerators. A maximum speedup of 24× is reached for the SPH part in the serial run when the Smoothed Particle Hydrodynamics (SPH) calculation is accelerated by an NVIDIA GeForce 8800 GTS 512 graphics card (128 cores, 1.8GHz). This code is developed for the simulation of physical processes in dwarf galaxies, in which the SPH method is used to describe the behavior of warm gas. The raceSPH library implements the SPH calculation on different hardware. It provides a set of general interfaces to help integrate hardware accelerators into existing astrophysical programs. In this paper we show that after both gravity and SPH calculation are accelerated by GPU, the neighbour list construction consumes most of the time and becomes the bottleneck of the current program.
This paper proposes a six-layer conceptual architecture for spontaneous service provision. In the architecture, techniques of context-aware, semantic reasoning and service composition are smoothly synthesized. A dynam...
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This paper describes the core of an spontaneous service provision framework offering general functionality based on objects in Internet of Things. The framework supports sensor, wireless network and end system based o...
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Identifying the behavioral patterns in a social network setting is beneficial to understand how people behave in certain application domains. Such patterns can also be utilized to characterize social signals such as s...
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ISBN:
(纸本)9780982443811
Identifying the behavioral patterns in a social network setting is beneficial to understand how people behave in certain application domains. Such patterns can also be utilized to characterize social signals such as social roles from interactions. In this work, we examine how probabilistic context free grammars (PCFGs) can be utilized to model interactions and role taking in a social network. We describe how to automatically build a PCFG given a set of interactions as the training data. Our experiments on the Mission Survival Corpus 1 (MSC-1) dataset show that PCFGs are a concise way of modeling social entity behaviors and are useful in understanding the probability distribution of interactions as well as the behavior types that are observed.
Hierarchies are very popular in organizing documents and web pages, hence automated hierarchical classification techniques are desired. However, the current dominant hierarchical approach of top-down method suffers ac...
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Literature-based discovery is linking two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge. Cluster analy...
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Task scheduling is one of the most prominent problems in the era of parallel computing. We find scheduling algorithms in every domain of computerscience, e.g., mapping multiprocessor tasks to clusters, mapping jobs t...
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In cluster file systems, the metadata management is critical to the whole system. Past researches mainly focus on journaling which alone is not enough to provide high-available metadata service. Some others try to use...
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