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共 511 条记录，以下是331-340 订阅

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Efficient parallelization of a Two-List Algorithm for the Subset-Sum Problem on a Hybrid CPU/GPU Cluster

Efficient Parallelization of a Two-List Algorithm for the Su...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Letian Kang Lanjun Wan Kenli Li College of Information Science and Engineering Hunan University Changsha Hunan China

Recently, hybrid CPU/GPU cluster has been widely used to deal with compute-intensive problems, such as the subset-sum problem. The two-list algorithm is a well known approach to solve the problem. However, a hybrid MPI-CUDA dual-level parallelization of the algorithm on the cluster is not straightforward. The key challenge is how to allocate the most suitable workload to each node to achieve good load balancing between nodes and minimize the communication overhead. Therefore, this paper proposes an effective workload distribution scheme which aims to reasonably assign workload to each node. According to this scheme, an efficient MPI-CUDA parallel implementation of a two-list algorithm is presented. A series of experiments are conducted to compare the performance of the hybrid MPI-CUDA implementation with that of the best sequential CPU implementation, the single-node CPU-only implementation, the single-node GPU-only implementation, and the hybrid MPI-OpenMP implementation with same cluster configuration. The results show that the proposed hybrid MPI-CUDA implementation not only offers significant performance benefits but also has excellent scalability.

关键词： Graphics processing units Clustering algorithms Performance evaluation Instruction sets parallel processing Educational institutions Computational modeling

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parallel Reconstruction for High Resolution Multi-frame Solar Speckle Images 1

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11th international symposium on parallel architectures, algorithms and programming, PAAP 2020

作者： Zhu, Lingxiao Jiang, Murong Fu, Pengming Chui, Wenhao School of Information Science and Engineering Yunnan University Kunming China

ISBN: (数字)9789811600104

ISBN: (纸本)9789811600098

The high resolution reconstruction of solar speckle image is an important research issue in the field of astronomical observation. Due to the influence of atmospheric turbulence, the astronomical images obtained by ground-based optical telescope will be blurred or degraded seriously, which needs to be reconstructed by image restoration method. Most of the existing regularization methods deal with a single frame image. The more image features are, the better the reconstruction effect is. However, the poor quality of the reconstructed image is caused by the insufficient features of a single solar speckle image. In this paper, we combined the complementary relationship between multi-frame speckle images to establish a multi-frame blind restoration model suitable for solar speckle image reconstruction, used genetic algorithm to select regularization parameters and realized multi-frame block reconstruction in parallel. The experimental results show that the proposed method can restore the solar speckle image well, and the reconstruction speed is fast, which can meet the requirements of astronomical observation. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Image reconstruction

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Boosting Performance in parallel Computing Models with a New Experimental Architecture 11th

Boosting Performance in Parallel Computing Models with a New...

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11th international symposium on parallel architectures, algorithms and programming, PAAP 2020

作者： Albert, Alberto Arteta Harshakumar, Akshay de Mingo López, Luis Fernando Blas, Nuria Gómez TroyAL36082 United States Departamento de Sistemas Informáticos Escuela Técnica Superior de Ingeniería de Sistemas Informáticos Universidad Politécnica de Madrid Calle Alan Turing Madrid28031 Spain

ISBN: (纸本)9789811600098

The von Neumann architecture, often called the Traditional architecture, describes the design for an electronic digital computer as having five main components: processing unit, control unit, memory, external storage, input/output mechanisms. The processing unit interacts with the rest of the components through the system bus. That helps in carrying the data as well as the addresses. Over the years, that architecture has evolved with the advancement in technology. Today we find that we face many constraints regarding the deployment of some hardware and software features developed in recent years due to the inherent nature of the traditional architecture. This paper shows how to use this architecture to boost performance by introducing a variation in signal processing by placing a different memory type that reduces stall operations when processing different parallel threads. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Signal processing

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Research on programming languages for massively parallel processing

Research on programming languages for massively parallel pro...

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： M. Amamiya M. Satoh A. Makinouchi K. Hagiwara T. Yuasa H. Aida K. Ueda K. Araki T. Ida T. Baba Ministry of Education Science and Culture Kyushu University Japan Ministry of Education Science and Culture University of Tohoku Japan Ministry of Education Science and Culture Osaka University Japan Ministry of Education Science and Culture Toyohashi University of Technology Japan Ministry of Education Science and Culture University of Tokyo Japan Ministry of Education Science and Culture Waseda University Japan Ministry of Education Science and Culture Nara Institute of Science and Technology Japan Ministry of Education Science and Culture University of Tsukuba Japan Ministry of Education Science and Culture Utsunomiya University Japan

We are pursuing research on programming languages for massively parallel processing. The objective of the research is the following two points according to the top level research objective of our Massively parallel Processing Principle Research Project: firstly to develop a prototype of a massively parallel programming language and compiler system, which is competitive to commercial language systems like data parallel C, Fortran D or HPF; and secondly to explore a massively parallel computation model, and design an experimental language as an implementation of the newly explored massively parallel computation model.< >

关键词： Computer languages parallel processing Concurrent computing Computational modeling Object oriented modeling parallel programming parallel languages Information processing Educational programs Prototypes

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seventh international Conference on parallel and Distributed Computing, Applications and Technologies-Title

Seventh International Conference on Parallel and Distributed...

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IEEE international Conference on parallel and Distributed Computing, Applications and Technologies (PDCAT)

The following topics are dealt with: parallel computing; distributed computing; interconnection networks; communication and telecommunication; image processing and computer graphics; access control and authorization; wireless networks and mobile computing; database applications and data mining; parallelizing compilers; parallel/distributed architectures; intelligent computing and neural networks; Internet computing; network routing and communication algorithms; Web technologies; ubiquitous computing systems; task mapping and job scheduling; security protocols; computer networks; formal methods and programming languages; intrusion detection and survivability; grid computing systems; applied cryptography; P2P and ad hoc networks; and reliability and fault-tolerance

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Semantic Embedding Graph Convolutional Networks for Multi-label Video Segment Classification

Semantic Embedding Graph Convolutional Networks for Multi-la...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Zhitao Li Jianzong Wang Ning Cheng Jing Xiao Ping An Technology (Shenzhen) Co. Ltd.

ISBN: (纸本)9781665496407

Video classification is a challenging problem, video segment labels are sparse and expensive to get, and it is important to leverage as much available information as possible from labeled datasets. There have been several ways to capture video frame information but none of them have utilized the information hidden in labels correlation to increase classification accuracy. This work proposed a framework called Graph Convolution Semantic Network of aggregated descriptors (GCSN) which can extract neighboring information of related segment labels to increase video segmentation classification accuracy. Label relation graph was built by thresholding on cosine similarity computed from mutual embedding similarities, word embeddings were generated by Deep Bidirectional Transformers. The testing accuracy on Youtube-8m video segments classification dataset shows that our proposed GCSN outperforms NeXtVLAD baseline by considering additional labels relation information.

关键词： Training Convolution Semantics Neural networks Natural languages programming Transformers

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Optimizing communication for array operations on message-passing multicomputers

Optimizing communication for array operations on message-pas...

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： A. Eberhart Jingke Li Department of Computer Science Portland State University Portland OR USA

Whole array operations and array section operations are important features of many data-parallel languages. Efficient implementation of these operations on distributed-memory multicomputers is critical to the scalability and high-performance of data-parallel programs. We present an approach for analyzing communication patterns induced by array operations and for scheduling message flow based on the information. Our scheduling algorithm guarantees contention-free data transfer and utilizes network resources optimally. It incurs little overhead and is suitable to be used in compilers and in runtime libraries. We also present simulation results that demonstrate the algorithm's superiority to the asynchronous transfer mode that is commonly used for this type of communication.

关键词： Scheduling algorithm Pattern analysis Runtime library Computer science Scalability Information analysis Asynchronous transfer mode parallel processing parallel algorithms programming profession

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A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

A Case Study of SWIM: Optimization of Memory Intensive Appli...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Wei Yi Yuhua Tang Guibin Wang Xudong Fang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

Recently, GPGPU has been adopted well in the High Performance Computing (HPC) field. The limited global memory bandwidth poses a great challenge to many GPGPU programmers trying to exploit parallelism within the CPU-GPU heterogeneous platform. In this paper, we choose SWIM, a typical memory intensive application from the SPEC OMP 2001 benchmark suite, for case study. We attempt to optimize the performance and energy consumption of the application utilizing different memory access mechanisms and present optimization methods including matrix transposition and kernel fusion. The experimental results on the Intel Core TM i920 CPU plus GeForce GTX 295 platform shows that, the proposed optimizing methods achieve a speedup of 8.7X over the original OpenMP program and reduce the energy consumption by 83% for the problem size of 2048*2048.

关键词： Instruction sets Kernel Bandwidth Graphics processing unit Memory management Energy consumption Central Processing Unit

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Data parallel programming Model for Many-Core architectures

Data Parallel Programming Model for Many-Core Architectures

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IEEE international symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Yongpeng Zhang North Carolina State University USA

Emerging accelerating architectures, such as GPUs, have proved successful in providing significant performance gains to various application domains. This is done by exploiting data parallelism in existing algorithms. However, programming in a data-parallel fashion imposes extra burdens to programmers, who are used to writing sequential programs. New programming models and frameworks are needed to reach a balance between programmability, portability and performance. We start from stream processing domain and propose GStream, a general-purpose, scalable data streaming framework on GPUs. The contributions of GStream are as follows: (1) We provide powerful, yet concise language abstractions suitable to describe conventional algorithms as streaming problems. (2) We project these abstractions onto GPUs to fully exploit their inherent massive data-parallelism. (3) We demonstrate the viability of streaming on accelerators. Experiments show that the proposed framework provides flexibility, programmability and performance gains for various benchmarks from a collection of domains, including but not limited to data streaming, data parallel problems, numerical codes and text search. This work lays a foundation to our future work to develop more general data parallel programming models for many-core architectures.

关键词： Graphics processing unit parallel processing Benchmark testing Libraries Kernel Computer architecture

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parallel Problem Solving from Nature — PPSN VII 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Juan Julián Merelo Guervós Panagiotis Adamidis Hans-Georg Beyer Hans-Paul Schwefel José-Luis Fernández-Villacañas

ISBN: (数字)9783540457121

ISBN: (纸本)9783540441397

We are proud to introduce the proceedings of the seventh international C- ference on parallel Problem Solving from Nature, PPSN VII, held in Granada, Spain, on 7–11 September 2002. PPSN VII was organized back-to-back with the Foundations of Genetic algorithms (FOGA) conference, which took place in Torremolinos, Malaga, Spain, in the preceding week. ThePPSNseriesofconferencesstartedinDortmund,Germany[1].Fromthat pioneering meeting, the event has been held biennially, in Brussels, Belgium [2], Jerusalem, Israel [3], Berlin, Germany [4], Amsterdam, The Netherlands [5], and Paris, France [6]. During the Paris conference, several bids to host PPSN 2002 were put forward; it was decided that the conference would be held in Granada with Juan J. Merelo Guerv´ os as General Chairman. The scienti?c content of the PPSN conference focuses on problem-solving paradigms gleaned from natural models, with an obvious emphasis on those that display an innate parallelism, such as evolutionary algorithms and ant-colony optimization algorithms. The majority of the papers, however, concentrate on evolutionary and hybrid algorithms, as is shown in the contents of this book and *** applications,betheytoclassicalproblemsortoreal-worldengineeringproblems, which shows how bioinspired algorithms are extending their use in the realms of business and enterprise.

关键词： Applications of Mathematics Mathematics of Computing Software Engineering/programming and Operating Systems Computation by Abstract Devices Algorithm Analysis and Problem Complexity Processor architectures

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