Parallel Algorithms
Decomposition Models of Parallel Algorithms
... chosen parallel algorithms (numerical integration, matrix multiplication) we have been demonstrated great influence of selection of decomposition model to their potential ...dominant parallel ...
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Thinking in Parallel: Some Basic Data-Parallel Algorithms and Techniques
... A legacy of traditional computer science has been to seek appropriate levels of abstrac- tion. But, why have abstractions worked? To what extent does the introduction of abstractions between the user and the machine ...
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Fast parallel algorithms for vertex and edge colouring of Halin graphs
... FAST PARALLEL ALGORITHMS FOR OPTIMALLY EDGE AND VERTEX COLOURING HALIN GRAPHS Alan Gibbons Department of Computer Science, University of Warwick.. Wojciech Rytter Department of Computer [r] ...
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Distributed Memory Parallel Algorithms for Minimum Spanning Trees
... two parallel algorithms for finding MST of a graph, based on classical algorithms of Prim [2] and Kruskal ...[3]. Algorithms target message passing parallel machine with distributed ...
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Parallel algorithms for variational inclusions and fixed points with applications
... two parallel algorithms for finding a zero of the sum of two monotone operators and a fixed point of a nonexpansive mapping in Hilbert spaces and prove some strong convergence theorems of the proposed ...
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Parallel algorithms for two-stage stochastic optimization
... This chapter presents our parallel algorithms for scalable stochastic integer optimization. Specifically, we are interested in problems with integer solutions, and hence, in BnB ap- proaches. Although BnB ...
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A survey of parallel algorithms for fractal image compression
... As a consequence of this, the majority of coarse-grained parallel algorithms that have been developed tend to use some form of dynamic load-balancing, e.g. [38, 39, 49, 53]. Typically this approach involves ...
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A Web Computing Environment for Parallel Algorithms in Java
... massively parallel algorithms in the bulk-synchronous (BSP) style on PCs distributed over the internet whose owners are willing to donate their unused computation ...
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Complex Performance Modeling of Parallel Algorithms
... matrix parallel algorithms (MPA) which is characterized by decreasing number of decomposed matrix elements (decreasing of complexity) in process of parallel ...massive parallel computers ...
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Complex Modeling of Matrix Parallel Algorithms
... This paper finalizes applying of complex analytical modeling to the whole group of matrix parallel algorithms which are characterized by domain decomposition models. To present this group of MPA we have ...
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Parallel Algorithms for Big Data Optimization
... a parallel/distributed ...to parallel and distributed methods (no line search is used) wherein all variables can be updated rather independently at the same ...
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Parallel Algorithms for Unsupervised Tagging
... 6.1.3 Tagging for Low-Resource Languages Learning part-of-speech taggers for severely low- resource languages (e.g., Malagasy) is very chal- lenging. In addition to scarce (token-supervised) labeled resources, the tag ...
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PERFORMANCE ANALYSIS OF PARALLEL ALGORITHMS
... The parallel execution time will be 40% of the serial execution time and the parallel program will be only ...the parallel execution time will never be shorter than 20% of the sequential execution ...
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Designing Efficient Parallel Algorithms for Graph Problems
... All nearest larger value All nearest smaller value Connected component Concurrent read and exclusive write Concurrent read and concurrent write Directed acyclic graph Exclusive read and [r] ...
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Design and Analysis of Parallel Algorithms
... Could ignore network and model all process-process interactions as equal (with only message size counting), but we choose to open the lid a little, and consider network topology. As size gets large this can have an ...
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PARALLEL ALGORITHMS AND STRUCTURES FOR IMPLEMENTATION OF MERGE SORT
... existing algorithms for implementation of two way merging is a small performance because they are based on the operations of pairwise comparison of data items ...most algorithms for numbers sorting may be ...
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Parallel Algorithms for Testing Finite State Machines:Generating UIO Sequences
... data residing in the GPU by using its ID. Since the GPU memory is available to all the threads, a thread can access any memory location. This allows programmers to interpret a device as a Parallel Random Access ...
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Parallel Algorithms for Residue Scaling and Error Correction in Residue Arithmetic
... The conversion or decoding technique from residue rep- resentation to X in binary is usually accomplished using the mixed-radix digit (MRD) or Chinese remained theo- rem (CRT). An optimal matched and parallel ...
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Algorithms and Hardness Results for Parallel Large Margin Learning
... in parallel? The last few years have witnessed a resurgence of interest in highly efficient parallel algorithms for a wide range of computational problems in many areas including machine learning ...
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Parallel Selective Algorithms for Nonconvex Big Data Optimization
... design parallel methods able to exploit the computational power of multi-core processors in order to solve many in- teresting ...if parallel methods are used, it might be useful to reduce the number of ...
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