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检索条件"任意字段=IEEE International Symposium on Parallel and Distributed Processing with Applications"

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An evaluation of thread migration for exploiting distributed array locality 16

An evaluation of thread migration for exploiting distributed...

引用

16th Annual international symposium on High Performance Computing Systems and applications

作者： Jenks, S Gaudiot, JL Univ Calif Irvine Irvine CA 92717 USA

ISBN: (纸本)0769516262

Thread migration is one approach to remote memory accesses on distributed memory parallel computers. In thread migration, threads of control migrate between processors to access data local to those processors, while conventional approaches tend to move data to the threads that need them. Migration approaches enhance spatial locality by making large address spaces local, but are less adept at exploiting temporal locality. Data-moving approaches, such as cached remote memory fetches or distributed shared memory, can use both types of locality. We present experimental evaluation of thread migration's ability to reduce the impact of remote array accesses across distributed-memory computers. Nomadic Threads uses compiler-generated fine-grain threads which either migrate to make data local or fetch cache lines, tolerating latency with multithreading. We compare these alternatives using various array access patterns.

关键词： Cache memory

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Understanding ultra-scale application communication requirements

Understanding ultra-scale application communication requirem...

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ieee international symposium on Workload Characterization

作者： Kamil, S Shalf, J Oliker, L Skinner, D Lawrence Berkeley Natl Lab NERSC CRD Berkeley CA 94720 USA

ISBN: (纸本)0780394615

As thermal constraints reduce the pace of CPU performance improvements, the cost and scalability of future HPC architectures will be increasingly dominated by the interconnect. In this work we perform an in-depth study of the communication requirements across a broad spectrum of important scientific applications, whose computational methods include: finite-difference, lattice-bolzmann, particle in cell, sparse linear algebra, particle mesh ewald, and FFT-based solvers. We use the IPM (integrated Performance Monitoring) profiling framework to collect detailed statistics on communication topology and message volume with minimal impact to code performance. By characterizing the parallelism and communication requirements of such a diverse set of applications, we hope to guide architectural choices for the design and implementation of interconnects for future HPC systems.

关键词： communication complexity multiprocessor interconnection networks natural sciences computing parallel processing performance evaluation FFT-based solvers communication topology finite-difference method integrated performance monitoring interconnects latti multiprocessor interconnection networks communication complexity Finite difference methods parallel processing (COMPUTERS) Natural sciences computing Performance Evaluation Communication Research Performance monitoring

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Comparison of Spark Resource Managers and distributed File Systems 6

Comparison of Spark Resource Managers and Distributed File S...

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2016 ieee international Conferences on BDCloud/SocialCom/SustainCom 2016

作者： Salehian, Solmaz Yan, Yonghong Oakland Univ Dept Comp Sci & Engn Rochester MI 48309 USA

ISBN: (纸本)9781509039364

The rapid growth in volume, velocity, and variety of data produced by applications of scientific computing, commercial workloads and cloud has led to Big Data. Traditional solutions of data storage, management and processing cannot meet demands of this distributed data, so new execution models, data models and software systems have been developed to address the challenges of storing data in heterogeneous form, e.g. HDFS, NoSQL database, and for processing data in parallel and distributed fashion, e.g. MapReduce, Hadoop and Spark frameworks. This work comparatively studies Apache Spark distributed data processing framework. Our study first discusses the resource management subsystems of Spark, and then reviews several of the distributed data storage options available to Spark.

关键词： Big Data distributed File System Resource Management Apache Spark

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Test Oracles Based on Metamorphic Relations for Image processing applications 16

Test Oracles Based on Metamorphic Relations for Image Proces...

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16th ieee/ACIS international Conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing (SNPD)

作者： Jameel, Tahir Lin, Mengxiang Chao, Liu Beihang Univ State Key Lab Software Dev Environm Beijing Peoples R China Beihang Univ Inst Software Engn Beijing Peoples R China

ISBN: (纸本)9781479986767

Testing of image processing applications is a challenging job especially, when evaluating the correctness of output image. Generally, output images are evaluated manually by visual inspection carried out by an expert tester, which is the main hindrance in automation of testing process. Recently, statistical and metamorphic testing approaches are presented to automate output evaluation of image processing applications. The statistical method is dependent on availability of statistical distribution of output images, whereas metamorphic testing require more research efforts to make it widely used in practice. Metamorphic testing is a well-known technique to alleviate the test oracle problem and eliminates the required manual efforts by using relations of input and output images. Follow-up test cases are generated based on these relations and their expected output is evaluated. This paper addresses test oracle problem for image processing applications and demonstrates how properties of implementation under test can be adopted as metamorphic relations. We have studied general and specific metamorphic relations of morphological image operations such as dilation and erosion. Selection of metamorphic relations and their effectiveness by mutation analysis is demonstrated. The results show that metamorphic testing is useful for evaluation of output images in the absence of a perfect test oracle.

关键词： Testing Imaging applications Metamorphic Testing Test Oracle

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Architecture and performance of the Hitachi SR2201 massively parallel processor system

Architecture and performance of the Hitachi SR2201 massively...

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11th international parallel processing symposium (IPPS 97)

作者： Fujii, H Yasuda, Y Akashi, H Inagami, Y Koga, M Ishihara, O Kashiyama, M Wada, H Sumimoto, T Hitachi Ltd Tokyo Japan

ISBN: (纸本)0818677937

RISC-based Massively parallel Processors (MPPs) often show low efficiency in real-world applications because of cache miss penalty, insufficient throughput of the memory system, and poor inter-processor communication performance. Hitachi's SR2201, an MPP scalable up to 2048 processors and 600 GFLOPS peak performance, overcomes these problems by introducing three novel features. First, its processor, the ISO MHz HARP-IE, solves the cache miss penalty by ''pseudo vector processing'' (PVP). In PVP, data is loaded by prefetching to a special register bank bypassing the cache. Second, a multi-bank memory architecture that operates like a pipeline eliminates the memory system bottleneck. Third, the inter-processor communication achieves high performance on the three-dimensional crossbar network, using a ''remote DMA transfer'' protocol and a hardware-based cache coherency. As the result of these improvements, the SR2201 achieved 220.4 GFLOPS with 1024 processors in the LINPACK benchmark, which is almost 72% of the peak performance.

关键词： parallel processing systems

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Overhead analysis of Grid workflow applications 06

Overhead analysis of Grid workflow applications

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7th ieee/ACM international Conference on Grid Computing

作者： Nerieri, Francesco Prodan, Radu Fahringer, Thomas Truong, Hong-Linh Univ Innsbruck Inst Comp Sci Tech Str 21A A-6020 Innsbruck Austria

ISBN: (纸本)9781424403431

In this paper we propose a systematic approach to performance analysis of workflow applications on the Grid. We introduce an ideal model for the workflow execution time and explain the difference to the real measured times based on a hierarchy of performance overheads for Grid computing. We describe how to systematically measure and compute the overheads from individual activities to entire workflow applications. We adjusted well-known parallel processing metrics to the scope of Grid computing, comprising speedup and efficiency. We have implemented and largely automatised our analysis approach in the context of the ASKALON Grid application development and computing environment. We present experimental results that show detailed overhead analysis of two real-world workflow applications executed in a national Grid environment.

关键词： Grid computing Performance analysis Pervasive computing Application software parallel processing Computer applications distributed computing Optimizing compilers Performance loss Middleware

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Evaluating parallel simulated evolution strategies for VLSI cell placement 20

Evaluating parallel simulated evolution strategies for VLSI ...

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20th ieee international parallel and distributed processing symposium, IPDPS 2006

作者： Sait, Sadiq M. Ali, Mustafa Imran Zaidi, Ali Mustafa Computer Engineering Department King Fahd University of Petroleum and Minerals Dhahran-31261 Saudi Arabia

ISBN: (纸本)1424400546

Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to well established stochastic heuristics such as SA, TS and GA, with shorter runtimes. However, for problems with a very large set of elements to optimize, such as in VLSI placement and routing, runtimes can still be very large and parallelization is an attractive option. Compared to other metaheuristics, parallelization of SimE has not been extensively explored. This paper presents a comprehensive set of parallelization approaches for SimE when applied to multiobjective VLSI cell placement problem. Each of these approaches are evaluated with respect to SimE characteristics and the constraints imposed by the problem instance. Conclusions drawn can be extended to parallelization of other SimE based optimization problems. © 2006 ieee.

关键词： Heuristic methods

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Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI 39

Leveraging STARE for Co-aligned Data Locality with netCDF an...

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ieee international Geoscience and Remote Sensing symposium (IGARSS)

作者： Kuo, Kwo-Sen Yu, Hongfeng Pan, Yu Rilee, Michael L. NASA Goddard Space Flight Ctr Greenbelt MD 20771 USA Univ Maryland ESSIC College Pk MD 20742 USA Bayesics LLC Bowie MD USA Univ Nebraska Lincoln NE USA Rilee Syst Technol LLC Derwood MD USA

ISBN: (纸本)9781538691540

We have leveraged STARE indexing to package partitioned data chunks from diverse datasets into netCDF files, distributed them on a cluster of 16 lightweight nodes with their placements spatiotemporally co-aligned, and demonstrated a few integrative analyses using netCDF parallel I/O and Python MPI, with single-user performance and scalability comparable to, or even better than, that of a parallel array database management system (ADBMS) such as SciDB. However, records of the node location and STARE index ranges for each data chunk, similar to the chunk maps of SciDB, must be maintained and consulted by the I/O and analysis code for coordinating the analytic operations in parallel, in order to achieve the good performance and scalability.

关键词： Big Data interoperability parallel processing scalability data-intensive analysis

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A Load Balancing Scheme for Sensing and Analytics on a Mobile Edge Computing Network 18

A Load Balancing Scheme for Sensing and Analytics on a Mobil...

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18th ieee international symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)

作者： Tham, Chen-Khong Chattopadhyay, Rajarshi Natl Univ Singapore Dept Elect & Comp Engn Singapore Singapore

ISBN: (纸本)9781538627235

The processing time of real-time sensing, data analytics and other applications is an important performance metric. When the application is being executed on a distributed system, the load balancing scheme among processing nodes significantly affects the total processing time of the application. We consider a load balancing scheme for distributed computing at the edge of the network. In the edge model considered, a group of nodes, either mobile or static, with processing and sensing capabilities, are connected to each other over a wireless ad-hoc network. Load balancing among edge nodes is formulated as a min-max optimization problem, with the objective of minimizing the overall processing time of the application while still satisfying the wireless channel capacity and link contention constraints. We use an aggregate utility method to convert the min-max problem into a convex optimization problem. The obtained constrained convex optimization problem is then relaxed with Lagrangian dual decomposition and solved with gradient descent. This form of the formulation can be implemented in a fully distributed manner among the edge nodes, which is consistent with the decentralized nature of edge networks. However, the convergence of this scheme may be slow. We further propose a heuristic algorithm which achieves fast convergence. Our simulation results show that it can give near-optimal performance most of the time.

关键词： Mobile Edge Computing Ad-hoc Networks distributed Systems Mobile Computing Lagrangian Dual Decomposition

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parallel simulation of radio-base antennas on massively parallel systems 15

Parallel simulation of radio-base antennas on massively para...

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15th international parallel and distributed processing symposium, IPDPS 2001

作者： Catarinucci, L. Palazzari, P. Tarricone, L. ENEA HPCN Project C.R. Casaccia S. Maria di GaleriaRome Italy University of Perugia DIEI Perugia Italy

ISBN: (纸本)0769509908

The rigorous characterization of the behaviour of a radiobase antenna for wireless communication systems is a hot topic both for antenna or communication system design and for radioprotection-hazard reasons. Such a characterization deserves a numerical solution, and the use of a Finite-Difference Time-Domain (FD-TD) approach is one of the most attractive candidates. Unfortunately it has strong memory and CPU-time requirements. Numerical complexity can be successfully afforded by using parallel computing. In this work we discuss the parallel implementation of the FD-TD code, individuating the theoretical lower bound for its parallel execution time, and we present the findings achieved on the APE/Quadrics SIMD massively parallel systems. Results, obtained from the simulation of actual radiobase antennas, clearly demonstrate that massively parallel processing is a viable approach to solve EM problems, allowing the simulation of radiating devices, which could not be modeled through conventional computing systems. The tests on actual systems evidenced sustained computational speed equal to 17% of the theoretical maximum. © 2001 ieee.

关键词： Antennas

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