For solving large instances of the Travelling Salesman Problem (TSP), the use of a candidate set (or candidate list) is essential to limit the search space and reduce the overall execution time when using heuristic se...
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Currently, higher resolutions and faster frame rates are more and more demanded in real time video application. Consequently, encoder complexity and performance are the main penalties for such requirements. the emergi...
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Modern advances in computer technology will definitely have a great impact on the methodologies used in the expansion and operational planning of power systems. parallel and distributed systems are the new tendencies ...
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ISBN:
(纸本)9781479914609
Modern advances in computer technology will definitely have a great impact on the methodologies used in the expansion and operational planning of power systems. parallel and distributed systems are the new tendencies in technologies that present a great potential for application in these areas. Graphics processing units (GPUs) have recently become popular in several fields of science due to their capability of performing massively large computational tasks. the use of a GPU for efficiently obtaining the periodic steady state solution in the time domain of large-scale electric power systems with nonlinear components is presented in this paper. Two programming models of the numerical differentiation process are proposed and implemented on a single GPU. the computation time of the simulation performed by co-processing GPU-CPU has been compared withthe simulation time required when using a conventional CPU. Several test cases have been analyzed to demonstrate the acceleration of the GPU-CPU simulation and the speed-up achieved.
With a suitable method to rank the user influence in micro-blogging service, we could get influential individuals to make information reach large populations. Here a novel parallel social influence model is proposed t...
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the programming model of parallel tasks is a suitable programming abstraction for parallel applications running on heterogeneous clusters, which are clusters composed of multiple subclusters. In this model, an applica...
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the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote fi...
ISBN:
(纸本)3642131352
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote files;query optimization over parallel relational data warehouses in distributed environments by simultaneous fragmentation and allocation;a high efficient on-chip interconnection network in SIMD CMPs;design of a slot assignment scheme for link error distribution on wireless grid networks;dynamic resource tuning for flexible core chip multiprocessors;a grid based system for closure computation and online service;parallel domain decomposition methods for high-order finite element solutions of the Helmholtz problem;frequencies;quick forwarding of queries to relevant peers in a hierarchical P2P file search system;cluster-fault-tolerant routing in burnt pancake graphs;and edge-bipancyclicity of all conditionally faulty hypercubes.
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote fi...
ISBN:
(纸本)3642131182
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote files;query optimization over parallel relational data warehouses in distributed environments by simultaneous fragmentation and allocation;a high efficient on-chip interconnection network in SIMD CMPs;design of a slot assignment scheme for link error distribution on wireless grid networks;dynamic resource tuning for flexible core chip multiprocessors;a grid based system for closure computation and online service;parallel domain decomposition methods for high-order finite element solutions of the Helmholtz problem;frequencies;quick forwarding of queries to relevant peers in a hierarchical P2P file search system;cluster-fault-tolerant routing in burnt pancake graphs;and edge-bipancyclicity of all conditionally faulty hypercubes.
Coarse grained reconfigurable architectures (CGRAs) are promising due to the ability to highly customize such architectures to an application domain. However, good tools and good algorithms to map benchmarks onto thes...
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this paper introduces a heuristic-based scheduler to optimise the throughput and latency of stream programs with dynamic network structure. the novelty is the utilisation of positive and negative demands of the stream...
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Melody extraction from polyphonic music is a valuable but difficult problem in music information retrieval. the extraction incurs a large computational cost that limits its application. Growing processing cores and in...
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ISBN:
(纸本)9783642408199;9783642408205
Melody extraction from polyphonic music is a valuable but difficult problem in music information retrieval. the extraction incurs a large computational cost that limits its application. Growing processing cores and increased bandwidth have made GPU an ideal candidate for the development of fine-grained parallelalgorithms. In this paper, we present a parallel approach for salience-based melody extraction from polyphonic music using CUDA. For 21 seconds of polyphonic clip, the extraction time is cut from 3 seconds to 33 milliseconds using NVIDIA GeForce GTX 480 which is up to 100 times faster. the increased performance allows the melody extraction to be carried out for real-time applications. Furthermore, the evaluation of the extraction on huge datasets is also possible. We give insight into how such significant speed gains are made and encourage the development and adoption of GPU in music information retrieval field.
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