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

共 2803 条记录，以下是901-910 订阅

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X-Ray Computed Tomography Applied to Objects of Cultural Heritage: Porting and Testing the Filtered Back-Projection Reconstruction Algorithm on Low Power Systems-on-Chip

X-Ray Computed Tomography Applied to Objects of Cultural Her...

引用

Euromicro conference on parallel, Distributed and Network-Based processing

作者： Elena Corni Lucia Morganti Maria Pia Morigi Rosa Brancaccio Matteo Bettuzzi Giuseppe Levi Eva Peccenini Daniele Cesini Andrea Ferraro Department of Physics and Astronomy University of Bologna Bologna Italy Bologna Section Italian Institute for Nuclear Physics (INFN) Bologna Italy Enrico Fermi Center for Study and Research Roma Italy CNAF Section Italian Institute for Nuclear Physics (INFN) Bologna Italy

the embedded and high-performance computing (HPC) sectors, that in the past were completely separated, are now somehow converging under the pressure of two driving forces: the release of less power consuming server processors and the increased performance of the new low power Systems-on-Chip (SoCs) developed to meet the requirements of the demanding mobile market. this convergence allows the porting to low power embedded architectures of applications that were originally confined to traditional HPC systems. In this paper, we present our experience of porting the Filtered Back-projection Algorithm to a low power, low cost system-on-chip, the NVIDIA Tegra K1, which is based on a quad core ARM CPU and on a NVIDIA Kepler GPU. this Filtered Back-projection Algorithm is heavily used in 3D Tomography reconstruction software. the porting has been done exploiting various programming languages (i.e. OpenMP, CUDA) and multiple versions of the application have been developed to exploit both the SoC CPU and GPU. the performances have been measured in terms of 2D slices (of a 3D volume) reconstructed per time unit and per energy unit. the results obtained with all the developed versions are reported and compared with those obtained on a typical x86 HPC node accelerated with a recent NVIDIA GPU. the best performances are achieved combining the OpenMP version and the CUDA version of the algorithm. In particular, we discovered that only three Jetson TK1 boards, equipped with Giga Ethernet interconnections, allow to reconstruct as many images per time unit as a traditional server, using one order of magnitude less energy. the results of this work can be applied for instance to the construction of an energy-efficient computing system of a portable tomographic apparatus.

关键词： Graphics processing units Image reconstruction Computer architecture Filtering algorithms Computed tomography Radiography

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CUDA Grid-Level Task Progression algorithms 17

CUDA Grid-Level Task Progression Algorithms

引用

2015 IEEE 17th international conference on High Performance Computing and Communications (HPCC)

作者： Kartsaklis, Christos Joubert, Wayne Hernandez, Oscar R. Eisenbach, Markus Elwasif, Wael R. Bernholdt, David E. Oak Ridge Natl Lab Oak Ridge TN 37831 USA

ISBN: (纸本)9781479989379

Tasking is a prominent parallel programming model. In this paper we conduct a first study into the feasibility of task-parallel execution at the CUDA grid, rather than the stream/kernel level, for regular, fixed in-out dependency task graphs, similar to those found in wavefront computational patterns, making the findings broadly applicable. We propose and evaluate three CUDA task progression algorithms, where threadblocks cooperatively process the task graph, and argue about their performance in terms of tasking throughput, atomics and memory IO overheads. Our initial results demonstrate a throughput of 38 million tasks/second on a Kepler K20X architecture.

关键词： parallel architectures parallel programming CUDA grid-level task progression algorithm CUDA task progression algorithm Kepler K20X architecture parallel programming model wavefront computational pattern Computational modeling Graphics processing units Instruction sets Kernel parallel processing Radiation detectors Runtime

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An Efficient Pre-filter to Accelerate Regular Expression Matching 15th

An Efficient Pre-filter to Accelerate Regular Expression Mat...

引用

15th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Xu, Chengcheng Chen, Shuhui Wang, Xiaofeng Su, Jinshu Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Natl Key Lab Parallel & Distributed Proc Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9783319271613;9783319271606

Regular expression matching is widely used in content-aware applications, such as NIDS and protocol identification. However, wire-speed processing for large scale patterns still remains a great challenge in practice. Considering low hit rates in NIDS, a compact and efficient pre-filter is firstly proposed to filter most normal traffics and leave few suspicious traffics for further pattern matching. Experiment results show that, the pre-filter achieves a big improvement in both space and time consumption with its compact and efficient structure.

关键词： Regular expression matching Pattern matching Deep packet inspection DPI Pre-filter

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A MapReduce Approach for processing Student Data Activity in a Peer-to-peer Networked Setting 10

A MapReduce Approach for Processing Student Data Activity in...

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10th international conference on P2P, parallel, Grid, Cloud and Internet Computing 3PGCIC

作者： Miguel, Jorge Caballe, Santi Xhafa, Fatos Open Univ Catalonia Dept Comp Sci Multimedia & Telecommun Barcelona Spain

ISBN: (纸本)9781467394734

Collaborative and peer-to-peer networked based models generate a large amount of data from students' learning tasks. We have proposed the analysis of these data to tackle information security in e-Learning breaches with trustworthiness models as a functional requirement. In this context, the computational complexity of extracting and structuring students' activity data is a computationally costly process as the amount of data tends to be very large and needs computational power beyond of a single processor. For this reason, in this paper, we propose a complete MapReduce and Hadoop application for processing learning management systems log file data.

关键词： Hadoop MapReduce log files parallel processing student activity data

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Experimental evaluation of memory optimizations on an embedded GPU platform 10

Experimental evaluation of memory optimizations on an embedd...

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10th international conference on P2P, parallel, Grid, Cloud and Internet Computing 3PGCIC

作者： Mungiello, Innocenzo Univ Naples Federico II Naples Italy

ISBN: (纸本)9781467394734

this paper presents the experimental evaluation of data mapping techniques in the shared memory of an embedded GPU. the evaluated technique, previously presented in the literature in other contexts, aims at partitioning an array across the shared memory physical banks, so as to increase parallel accesses, resulting in appreciable gains in terms of both performance and energy efficiency. the paper presents the experimental setup used for characterizing physically the behaviour of the platform, allowing a validation and a closer understanding of the evaluated memory mapping technique.

关键词： Graphics processing unit

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A parallel Tabu Search Algorithm with Solution Space Partition for Cohesive Clustering Problems 15th

A Parallel Tabu Search Algorithm with Solution Space Partiti...

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15th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Xu, Zheng Cao, Buyang Tongji Univ Sch Software Engn Shanghai 201804 Peoples R China Tongji Univ China Intelligent Urbanizat Cocreat Ctr High Dens Shanghai 200092 Peoples R China

ISBN: (纸本)9783319271613;9783319271606

Clustering analysis plays an important role in a wide range of fields including data mining, pattern recognition, machine learning and many other areas. In this paper, we present a parallel tabu search algorithm for clustering problems. A permanent tabu list is proposed to partition the solution space for parallelization. Moreover, this permanent tabu list can also reduce the neighborhood space and constrain the election of candidates. the proposed approach is evaluated by clustering some specific dataset. And experimental results and speedups obtained show the efficiency of the parallel algorithm.

关键词： Combinatorial optimization Tabu search Clustering analysis parallel tabu search parallel clustering Solution space partition

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Live Data Replication Approach from Relational Tables to Schema-free Collections using Stream processing Framework 10

Live Data Replication Approach from Relational Tables to Sch...

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10th international conference on P2P, parallel, Grid, Cloud and Internet Computing 3PGCIC

作者： Ma, Kun Yang, Bo Univ Jinan Shandong Prov Key Lab Network Based Intelligent C Jinan 250022 Peoples R China

ISBN: (纸本)9781467394734

Recent researches focus on the data replication issue from relational tables to schema-free collections in a batch processing way. However, there are few publications on live data replication in real time. In this paper, we attempt to address this legacy issue with new stream processing framework. the process of replication consists of log-based change data capture and stream-based data replication. Data replication mappings are present, and the proposed architecture of stream processing framework including column grouping, column merging and column versioning, is introduced to avoid data lost in case of failure. Finally, our experimental evaluation of live data replication approach with stream processing framework shows the higher effectiveness and efficiency than current methods.

关键词： Data replication data migration NoSQL relational table MapReduce stream processing extract transform and load

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Efficient implementation of a fast viewshed algorithm on SIMD architectures 23

Efficient implementation of a fast viewshed algorithm on SIM...

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23rd Euromicro international conference on parallel, Distributed, and Network-Based processing (PDP)

作者： Bravo, Jesus Carabano Sarjakoski, Tapani Westerholm, Jan Abo Akad Univ Dept IT Joukahainengatan 3-5 FIN-20520 Turku Finland Finnish Geodet Inst Dept Geoinformat & Cartog Masala 02431 Finland

ISBN: (纸本)9781479984909

Viewshed refers to the land area that is visible to an observer placed in a point of a terrain. Due to the advances in remote sensing technologies the volume of data is today beyond the capability of traditional GIS tools and therefore new and fast algorithms become essential. In this paper we present an efficient implementation of the XDRAW algorithm [5] to quickly compute viewsheds on very large digital elevation models. We redesign the algorithm to make it IO-efficient and compatible with modern STAID architectures. Our implementation is able to compute viewsheds on digital elevation models at the rate of 10' points per second on an Intel quad-core CPU with AVX2 technology, which makes the algorithm suitable for real-time applications.

关键词： viewshed gis simd parallel real-time

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PIC-based Receiver Structure For 5G Downlink NOMA 10

PIC-based Receiver Structure For 5G Downlink NOMA

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10th international conference on Information, Communications and Signal processing (ICICS)

作者： Anwar, Asim Seet, Boon-Chong Li, Xue Jun Auckland Univ Technol Dept Elect & Elect Engn Auckland 1010 New Zealand

ISBN: (纸本)9781467372183

Non-orthogonal multiple access (NOMA) is considered as a promising multiple access scheme for 5G downlink transmission. In this paper, we first review the existing downlink NOMA with successive interference cancellation (SIC) and then highlight some of the critical performance limiting factors related to SIC which can result in the performance degradation of NOMA. In order to alleviate the problems posed by SIC, we propose an alternate receiver structure for downlink NOMA based on parallel interference cancellation (PIC), along with some design consideration factors. the simulation results show that the proposed receiver outperforms that with SIC and hence is a promising receiver structure for future 5G downlink NOMA.

关键词： 5G communications non-orthogonal multiple access parallel interference cancellation

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Design and development of high performance, scalable content based publish subscribe system: doctoral symposium 16

Design and development of high performance, scalable content...

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Proceedings of the 10th ACM international conference on Distributed and Event-based Systems

作者： M. A. Shah D. B. Kulkarni Walchand College of Engineering Vishrambag Sangli

ISBN: (纸本)9781450340212

In many application scenarios, content based pub/sub systems are required to provide stringent service guarantees such as reliable delivery, high performance in terms of throughput and low latency for event notification to interested subscribers. Matching algorithm play a critical role in content based pub/sub systems. the aim of our work is design and development of parallel, scalable and high performance content based publish subscribe system. We parallelize event processing using thread based and multi GPU approaches. We achieved low latency and high throughput when pub/sub is deployed on Apache Storm, a real time event processing system. throughput gain and reduction in matching time is nearly 48% and 40% respectively in multi GPGPU approach of event processing compared to earlier work mentioned in [1].

关键词： throughput matching algorithm matching time multiple GPGPU real time event processing system data decomposition

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