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检索条件"任意字段=10th International Conference on Algorithms and Architectures for Parallel Processing"

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parallel Geometric Multigrid Preconditioner for 3D FEM in NuscaS Software Package

Parallel Geometric Multigrid Preconditioner for 3D FEM in Nu...

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10th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Olas, Tomasz Czestochowa Tech Univ PL-42201 Czestochowa Poland

ISBN: (纸本)9783642552243

Multigrid methods are among the fastest numerical algorithms for solving large sparse linear systems. the Conjugate Gradient method with Multigrid as a preconditioner (MGCG) features a good convergence even when the Multigrid solver itself is not efficient. the parallel FEM package NuscaS allows us to solve adaptive FEM problems with 3D unstructured meshes on parallel computers such as PC-clusters. the parallel version of the library is based on the geometric decomposition applied for computing nodes of a parallel system;the distributed-memory architecture and message-passing model of parallel programming are assumed. In our previous works, we extend the NuscaS functionality by introducing parallel adaptation of tetrahedral FEM meshes and dynamic load balancing capabilities. In this work we focus on efficient implementation of Geometric Multigrid as a parallel preconditioner for the Conjugate Gradient iterative solver used in the NuscaS package. Based on the geometric decomposition, for each level of Multigrid, meshes are partitioned and assigned to processors of a parallel architecture. Fine-grid levels are constructed by subdivision of mesh elements using the parallel 8-tetrahedra longestedge refinement mesh algorithm, where every process keeps the assigned part of mesh on each level of Multigrid. the efficiency of the proposed implementation is investigated experimentally.

关键词： Geometric Multigrid Conjugate Gradient method Preconditioner FEM parallel adaptation parallel software package MPI

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parallel Implementation of the Matrix Rank Test for Randomness Assessment 10

Parallel Implementation of the Matrix Rank Test for Randomne...

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IEEE 10th international conference on Intelligent Computer Communication and processing (ICCP)

作者： Marton, Kinga Baja, Vlad Suciu, Alin Tech Univ Cluj Napoca Dept Comp Sci Cluj Napoca Romania

ISBN: (纸本)9781479965694

the quality evaluation of random number sequences is a rather complex and resource-expensive process with a peculiar property: there is no finite amount of testing that can ensure perfect randomness. Yet applying multiple randomness tests, each evaluating the sequence from one specific and significant point of view, is vital for obtaining relevant results which can guide the tester in accepting or rejecting the considered random number sequence. therefore, aiming to satisfy the increasing demand for large volumes of high quality random data, there is a stringent need for high performance and flexible statistical tests in order to provide a more comprehensive assessment. Our work enrolls in this direction and this paper introduces the improved, extended and parallelized Matrix Rank Test (the 5th test of the NIST Statistical Test Suite), describing several enhancement methods. Experimental results prove the significant performance improvement compared to the original version and show the comparative efficiencies of the proposed parallel implementations.

关键词： statistical testing performance random number sequences matrix rank multi-core architecture efficient implementation

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A Real-Time Reliability and Durability Testing Framework 10

A Real-Time Reliability and Durability Testing Framework

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IEEE/ASME 10th international conference on Mechatronic and Embedded Systems and Applications (MESA)

作者： Massi, Gionata Morganti, Gianluca Claudi, Andrea Zingaretti, Primo Univ Politecn Marche Dipartimento Ingn Informaz Via Brecce Bianche 12 I-60131 Ancona Italy ADB I-20162 Milan Italy

ISBN: (纸本)9781479922802

this paper presents a methodological framework for designing testing and measurement systems fully integrated with the enterprise information system. In comparison with the most common solutions for designing embedded testing platforms the proposed framework sets itself at a higher level of abstraction. the proposed framework allows getting different, programmable test benches that can run in parallel, and it does not restrict the choice of hardware, sensors and actuators, as it happens with commercial development systems for the same kind of machines. the framework is conceived to be used on embedded boards equipped with the GNU/Linux operating system and with at least one network interface. By using open data formats, the framework provides an easy way to exchange data with enterprise information systems, thus assuring interoperability with different IT solutions. the paper includes the description of a cooker hood testing system designed and implemented with this framework, and which highlights the advantages of the proposed development method.

关键词： Reliability Testing Fault-Tolerance Domain-specific architectures Real-time systems Embedded systems Embedded systems design

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the path toward HEP High Performance Computing

The path toward HEP High Performance Computing

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20th international conference on Computing in High Energy and Nuclear Physics (CHEP)

作者： Apostolakis, John Brun, Rene Carminati, Federico Gheata, Andrei Wenzel, Sandro European Org Nucl Res CERN Geneva Switzerland

High Energy Physics code has been known for making poor use of high performance computing architectures. Efforts in optimising HEP code on vector and RISC architectures have yield limited results and recent studies have shown that, on modern architectures, it achieves a performance between 10% and 50% of the peak one. Although several successful attempts have been made to port selected codes on GPUs, no major HEP code suite has a "High Performance" implementation. With LHC undergoing a major upgrade and a number of challenging experiments on the drawing board, HEP cannot any longer neglect the less-than-optimal performance of its code and it has to try making the best usage of the hardware. this activity is one of the foci of the SFT group at CERN, which hosts, among others, the Root and Geant4 project. the activity of the experiments is shared and coordinated via a Concurrency Forum, where the experience in optimising HEP code is presented and discussed. Another activity is the Geant-V project, centred on the development of a high-performance prototype for particle transport. Achieving a good concurrency level on the emerging parallel architectures without a complete redesign of the framework can only be done by parallelizing at event level, or with a much larger effort at track level. Apart the shareable data structures, this typically implies a multiplication factor in terms of memory consumption compared to the single threaded version, together with sub-optimal handling of event processing tails. Besides this, the low level instruction pipelining of modern processors cannot be used efficiently to speedup the program. We have implemented a framework that allows scheduling vectors of particles to an arbitrary number of computing resources in a fine grain parallel approach. the talk will review the current optimisation activities within the SFT group with a particular emphasis on the development perspectives towards a simulation framework able to profit best from t

关键词： parallel architectures

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Fast GPU parallel N-Body tree traversal with Simulated Wide-Warp 20

Fast GPU parallel N-Body tree traversal with Simulated Wide-...

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20th IEEE international conference on parallel and Distributed Systems, ICPADS 2014

作者： Zola, Wagner M. Nunan Bona, Luis C.E. Silva, Fabiano Federal University of Paraná Curitiba PR Brazil

ISBN: (纸本)9781479976157

the Barnes-Hut algorithm is a widely used approximation method for the N-Body simulation problem. the irregular nature of this tree walking code presents interesting challenges for its computation on parallel systems. Additional problems arise in effectively exploiting the processing capacity of GPU architectures. We propose and investigate the applicability of software Simulated Wide-Warps (SWW) in this context. To this extent, we explicitly deal with dynamic irregular patterns in data accesses with data remapping and data transformation, by controlling execution flow divergence of threads. We present a new compact data-structure for the tree layout, GPU parallel algorithms for tree transformation and parallel walking using SWW. Benefits of our techniques are in transposing the tree algorithm to execute regular patterns to match the GPU model. Our experiments show significant performance improvement over the best known GPU solutions to this algorithm. © 2014 IEEE.

关键词： parallel algorithms

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A parallel algorithm for data cleansing in incomplete information systems using MapReduce 10

A parallel algorithm for data cleansing in incomplete inform...

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10th international conference on Computational Intelligence and Security CIS 2014

作者： Chen, Fei Jiang, Lin Kunming Univ Sci & Technol Fac Sci Kunming Peoples R China

ISBN: (纸本)9781479974344

Data cleansing is an important process of data mining. It is the key technology for ensuring the quality of the data. Classical data pre-processing technique has limitation in processing massive data with missing information, and sometimes it can not obtain precise and reasonable results, which leads to low-quality data. To this end, through deep analysis of the classical pre-processing, combining with the MapReduce programming model, A parallel algorithm for data cleansing in incomplete information systems using MapReduce is put forward to process the massive data with missing information. Finally, the new algorithm is applied to incomplete decision information system, and the analysis results show that the new algorithm is effective.

关键词： Data cleansing MapReduce massive data incomplete information systems rough set

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High energy electromagnetic particle transportation on the GPU

High energy electromagnetic particle transportation on the G...

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20th international conference on Computing in High Energy and Nuclear Physics (CHEP)

作者： Canal, P. Elvira, D. Jun, S. Y. Kowalkowski, J. Paterno, M. Apostolakis, J. Fermilab Natl Accelerator Lab MS234POB 500 Batavia IL 60510 USA CERN PH Dept CH-1211 Geneva Switzerland

We present massively parallel high energy electromagnetic particle transportation through a finely segmented detector on a Graphics processing Unit (GPU). Simulating events of energetic particle decay in a general-purpose high energy physics (HEP) detector requires intensive computing resources, due to the complexity of the geometry as well as physics processes applied to particles copiously produced by primary collisions and secondary interactions. the recent advent of hardware architectures of many-core or accelerated processors provides the variety of concurrent programming models applicable not only for the high performance parallel computing, but also for the conventional computing intensive application such as the HEP detector simulation. the components of our prototype are a transportation process under a non-uniform magnetic field, geometry navigation with a set of solid shapes and materials, electromagnetic physics processes for electrons and photons, and an interface to a framework that dispatches bundles of tracks in a highly vectorized manner optimizing for spatial locality and throughput. Core algorithms and methods are excerpted from the Geant4 toolkit, and are modified and optimized for the GPU application. Program kernels written in C/C++ are designed to be compatible with CUDA and OpenCL and with the aim to be generic enough for easy porting to future programming models and hardware architectures. To improve throughput by overlapping data transfers with kernel execution, multiple CUDA streams are used. Issues with floating point accuracy, random numbers generation, data structure, kernel divergences and register spills are also considered. Performance evaluation for the relative speedup compared to the corresponding sequential execution on CPU is presented as well.

关键词： Graphics processing unit

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A Synthesis Strategy for Nonlinear Model Predictive Controller on FPGA 10

A Synthesis Strategy for Nonlinear Model Predictive Controll...

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United-Kingdom-Automatic-Control-Council (UKACC) 10th international conference on Control (CONTROL)

作者： Kaepernick, Bartosz Suss, Sebastian Schubert, Endric Graichen, Knut Univ Ulm Inst Measurement Control & Microtechnol D-89069 Ulm Germany Missing Link Elect Neu Ulm Germany

ISBN: (纸本)9781479950119

this paper describes an implementation strategy of nonlinear model predictive controller for FPGA systems. A high-level synthesis of a real-time MPC algorithm by means of the MATLAB HDL Coder as well as the Vivado HLS tool is discussed. In order to exploit the parallel processing of FPGAs, the included integration schemes are parallelized using a fixed-point iteration approach. the synthesis results are demonstrated for two different example systems.

关键词： Field programmable gate arrays Predictive controllers Nonlinear Models nonlinear model predictive control parallel processing (COMPUTERS) Fixed point synthesis

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parallel processing and Applied Mathematics - 10th international conference, PPAM 2013, Revised Selected Papers

Parallel Processing and Applied Mathematics - 10th Internati...

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10th international conference on parallel processing and Applied Mathematics, PPAM 2013

ISBN: (纸本)9783642551949

the proceedings contain 146 papers. the topics discussed include: exploiting data sparsity in parallel matrix powers computations;performance of dense eigensolvers on BlueGene/Q;experiences with a lanczos eigensolver in high-precision arithmetic;adaptive load balancing for massively parallel multi-level Monte;parallel one-sided Jacobi SVD algorithm with variable blocking factor;an identity parareal method for temporal parallel computations;improving perfect parallelism;methods for high-throughput computation of elementary functions;engineering nonlinear pseudorandom number generators;extending the generalized Fermat prime number search beyond one million digits using GPUS;iterative solution of singular systems with applications;scheduling bag-of-tasks applications to optimize computation time and cost;and scheduling moldable tasks with precedence constraints and arbitrary speedup functions on multiprocessors.

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parallel processing and Applied Mathematics - 10th international conference, PPAM 2013, Revised Selected Papers

Parallel Processing and Applied Mathematics - 10th Internati...

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10th international conference on parallel processing and Applied Mathematics, PPAM 2013

ISBN: (纸本)9783642552236

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