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標(biāo)題: Titlebook: Parallel Processing and Applied Mathematics, Part II; 9th International Co Roman Wyrzykowski,Jack Dongarra,Jerzy Wa?niewski Conference proc [打印本頁(yè)]

作者: Osteopenia    時(shí)間: 2025-3-21 18:11
書(shū)目名稱Parallel Processing and Applied Mathematics, Part II影響因子(影響力)




書(shū)目名稱Parallel Processing and Applied Mathematics, Part II影響因子(影響力)學(xué)科排名




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書(shū)目名稱Parallel Processing and Applied Mathematics, Part II被引頻次




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書(shū)目名稱Parallel Processing and Applied Mathematics, Part II讀者反饋




書(shū)目名稱Parallel Processing and Applied Mathematics, Part II讀者反饋學(xué)科排名





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Zdzislaw Onderkaenten mit Demenz, Palliativ-, Beatmungspatienten, bei denen eine patientenorientierte und reibungslose Versorgung zwischen den Einrichtungen besonders wichtig ist, wird vertieft und mit vielen Praxistipps erg?n978-3-642-21014-3978-3-642-21015-0
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Marek Tudruj,?ukasz Ma?koerwendet werden. .Online-Materialien auf dem Extrasserver:?PSpice-Dateien des Lernprogramms S.m.i.L.E und die Studentenversion des Schaltungssimulators OrCAD-PSpice 9.1..Neu in der 2. Auflage sind Aufgaben zu optoelektronischen Bauelementen..?.978-3-642-21011-2Series ISSN 0937-7433 Series E-ISSN 2512-5214
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Tomasz Müldner,Christopher Fry,Tyler Corbin,Jan Krzysztof Mizio?ekerwendet werden. .Online-Materialien auf dem Extrasserver:?PSpice-Dateien des Lernprogramms S.m.i.L.E und die Studentenversion des Schaltungssimulators OrCAD-PSpice 9.1..Neu in der 2. Auflage sind Aufgaben zu optoelektronischen Bauelementen..?.978-3-642-21011-2Series ISSN 0937-7433 Series E-ISSN 2512-5214
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Grid Branch-and-Bound for Permutation Flowshop, the two can be used as a benchmark of maturity of parallel processing environment. Grid systems pose a number of hurdles which must be overcome in practical applications. We give a report on applying parallel branch-and-bound for flowshop in grid environment. Methods dealing with the complexities
作者: 閑逛    時(shí)間: 2025-3-25 09:50
An Experimental Comparison of Load Balancing Strategies in a Web Computing Environmentrograms. The PUB-Web library developed by us supports this kind of usage of computing resources. A major problem for the efficient execution of such parallel programs is load balancing. In the Web Computing context, this problem becomes more difficult because of the dynamic behavior of the underlyin
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作者: 形容詞    時(shí)間: 2025-3-25 16:21
Scheduling Parallel Programs Based on Architecture–Supported Regionstational functions. Multi CMP (Chip Multi-Processor) systems can be composed as a set of dedicated and general purpose computational modules interconnected by a global data exchange network. The paper proposes special program scheduling algorithms for such systems. Dedicated CMP modules assumed in t
作者: 發(fā)酵劑    時(shí)間: 2025-3-25 22:54
Genetic Algorithm Calibration for Two Objective Scheduling Parallel Jobs on Hierarchical Gridse, jobs are allocated to a suitable Grid site, while at the second stage, local scheduling is independently applied to each site. In this environment, one of the big challenges is to provide a job allocation that allows more efficient use of resources and user satisfaction. In general, the criteria
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Portable Explicit Threading and Concurrent Programming for MPI Applicationsupport for concurrency. Due to online query processing and multi-user operation, we need to concurrently maintain and analyze the data. While the Portable Operating System Interface?(POSIX) defines a thread interface that is widely available, and while modern implementations of the Message Passing I
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作者: encomiast    時(shí)間: 2025-3-26 14:39
Parallelization of an XML Data Compressor on Multi-coresents our research aimed at building parallel XML compressors, using Java and OpenMP (with C++). Our findings show that OpenMP is a preferred choice achieving better results than Java using a multi-core platform.
作者: Injunction    時(shí)間: 2025-3-26 17:18
Comparing CUDA, OpenCL and OpenGL Implementations of the Cardiac Monodomain Equationsomprises a nonlinear system of partial differential equations and its numerical solution represents a very intensive computational task due to the required fine spatial and temporal resolution. Recent studies have shown that the use of GPU as a general purpose processor can greatly improve the perfo
作者: Ccu106    時(shí)間: 2025-3-26 21:48
Fine Grained Parallelism in Recursive Function Callsism, mainly by focusing on calls which can be invoked in parallel. However, not all recursive algorithms allow concurrent execution of function calls. In this paper we study how we can extract concurrency from those recursive functions which cannot be parallelized with the commonly used methods. The
作者: 畫(huà)布    時(shí)間: 2025-3-27 03:45
On-Line Grid Monitoring Based on Distributed Query Processingeduction. We present a?solution for on-line monitoring of large-scale computing infrastructures based on Complex Event Processing principles and technologies. We focus on leveraging CEP for distributed processing of client queries and monitoring data streams. This results in significant reduction of
作者: 類型    時(shí)間: 2025-3-27 09:18
Distributed Memory Virtualization with the Use of SDDSfLtributed .s of multicomputer nodes. In other words they are a tool for distributed memory virtualization. Applications that use . benefit from a fast data access and a scalability offered by such data structures. On the other hand, adapting an application to work with . may require significant chang
作者: 公理    時(shí)間: 2025-3-27 09:29
Dynamic Compatibility Matching of Services for Distributed Workflow Executionay have the same functionality, they may accept input and produce output in different formats. The proposed solution learns matching of outputs and inputs at runtime and uses this knowledge in subsequent runs of workflow applications. The presented solution was implemented in an existing workflow ex
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Dynamic Business Metrics-driven Resource Provisioning in Cloud Environmentsatic scalability feature enables cloud-based systems to seamlessly adjust to the constantly changing environment of the Internet. Despite their usefulness there is still much space for improvements. In this paper we introduce an approach to automatic infrastructure scaling, based on observation of b




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