the proceedings contain 76 papers. the topics discussed include: clustering and change detection in multiple streaming time series;lightweight identification of captured memory for software transactional memory;layer-...
ISBN:
(纸本)9783319038582
the proceedings contain 76 papers. the topics discussed include: clustering and change detection in multiple streaming time series;lightweight identification of captured memory for software transactional memory;layer-based scheduling of parallel tasks for heterogeneous cluster platforms;optimistic concurrency control for energy efficiency in the wireless environment;synchronization-reducing variants of the biconjugate gradient and the quasi-minimal residual methods;exploring irregular reduction support in transactional memory;coordinate task and memory management for improving power efficiency;hardware-assisted intrusion detection by preserving reference information integrity;towards automatic generation of hardware classifiers;a practical approach for finding small independent, distance dominating sets in large-scale graphs;and heterogeneous computing vs. big data: the case of cryptanalytical applications.
the proceedings contain 76 papers. the topics discussed include: clustering and change detection in multiple streaming time series;lightweight identification of captured memory for software transactional memory;layer-...
ISBN:
(纸本)9783319038889
the proceedings contain 76 papers. the topics discussed include: clustering and change detection in multiple streaming time series;lightweight identification of captured memory for software transactional memory;layer-based scheduling of parallel tasks for heterogeneous cluster platforms;optimistic concurrency control for energy efficiency in the wireless environment;synchronization-reducing variants of the biconjugate gradient and the quasi-minimal residual methods;exploring irregular reduction support in transactional memory;coordinate task and memory management for improving power efficiency;hardware-assisted intrusion detection by preserving reference information integrity;towards automatic generation of hardware classifiers;a practical approach for finding small independent, distance dominating sets in large-scale graphs;and heterogeneous computing vs. big data: the case of cryptanalytical applications.
this paper explores the problem of boundary data classification ambiguity that arises when machine learning techniques are applied in the field of intrusion detection. the features and attributes of the boundary data ...
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ica3pp 2000 was an important conferencethat brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. the proceedings const...
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ISBN:
(数字)9789812792037
ISBN:
(纸本)9789810244811
ica3pp 2000 was an important conferencethat brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. the proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications.
In order to run Computational Fluid Dynamics (CFD) codes on large scale infrastructures, parallel computing has to be used because of the computational intensive nature of the problems. In this paper we investigate th...
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ISBN:
(纸本)9783319495835;9783319495828
In order to run Computational Fluid Dynamics (CFD) codes on large scale infrastructures, parallel computing has to be used because of the computational intensive nature of the problems. In this paper we investigate the ADAPT platform where we couple flow Partial Differential Equations and a Poisson equation. this leads to a linear system which we solve using direct methods. the implementation deals withthe MUMPS parallel multi-frontal direct solver and mesh partitioning methods using METIS to improve the performance of the framework. We also investigate, in this paper, how the mesh partitioning methods are able to optimize the mesh cell distribution for the ADAPT solver. the experience gained in this paper facilitates the move to a Service Oriented view of ADAPT as future work.
this two volume set LNCS 8285 and 8286 constitutes the proceedings of the 13th international conference on algorithms and architectures for parallel processing , ica3pp 2013, held in Vietri sul Mare, Italy in December...
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ISBN:
(数字)9783319038896
ISBN:
(纸本)9783319038889
this two volume set LNCS 8285 and 8286 constitutes the proceedings of the 13th international conference on algorithms and architectures for parallel processing , ica3pp 2013, held in Vietri sul Mare, Italy in December 2013. the first volume contains 10 distinguished and 31 regular papers selected from 90 submissions and covering topics such as big data, multi-core programming and software tools, distributed scheduling and load balancing, high-performance scientific computing, parallelalgorithms, parallelarchitectures, scalable and distributed databases, dependability in distributed and parallel systems, wireless and mobile computing. the second volume consists of four sections including 35 papers from one symposium and three workshops held in conjunction with ica3pp 2013 main conference. these are 13 papers from the 2013international Symposium on Advances of Distributed and parallel Computing (ADPC 2013), 5 papers of the international Workshop on Big Data Computing (BDC 2013), 10 papers of the international Workshop on Trusted Information in Big Data (TIBiDa 2013) as well as 7 papers belonging to Workshop on Cloud-assisted Smart Cyber-Physical Systems (C-Smart CPS 2013).
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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Skeletal parallelism is a model of parallelism where parallel constructs are provided to the programmer as usual patterns of parallelalgorithms. High-level skeleton libraries often offer a global view of programs ins...
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ISBN:
(纸本)9783030389918;9783030389901
Skeletal parallelism is a model of parallelism where parallel constructs are provided to the programmer as usual patterns of parallelalgorithms. High-level skeleton libraries often offer a global view of programs instead of the common Single Program Multiple Data view in parallel programming. A program is written as a sequential program but operates on parallel data structures. Most of the time, skeletons on a parallel data structure have counterparts on a sequential data structure. For example, the map function that applies a given function to all the elements of a sequential collection (e.g., a list) has a map skeleton counterpart that applies a sequential function to all the elements of a distributed collection. Two of the challenges a programmer faces when using a skeleton library that provides a wide variety of skeletons are: which are the skeletons to use, and how to compose them? these design decisions may have a large impact on the performance of the parallel programs. However, skeletons, especially when they do not mutate the data structure they operate on, but are rather implemented as pure functions, possess algebraic properties that allow to transform compositions of skeletons into more efficient compositions of skeletons. In this paper, we present such an automatic transformation framework for the Python skeleton library PySke and evaluate it on several example applications.
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