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34th International conference on parallel processing (ICPP)

作者： Zhou, HF Yang, XJ Liu, HZ Tang, Y Natl Univ Def Technol Sch Comp Changsha 410073 Hunan Peoples R China

ISBN: (纸本)0769523803

With the increasing importance of multiple multiplaform remote sensing missions, fast and automatic integration of digital data from disparate sources has become critical to the success of these endeavors. Firstly, an overview of development of automatic and parallel global image registration is given. And then, based on the analyses of existing three parallel methods of wavelet-based global registration, a new parallel strategy is proposed. Moreover, towards the quantitative evaluation, first results of the intercomparision of four parallel global registration algorithms are presented in theory and in experiments.

关键词： image segmentation

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Quantifiability: Correctness of Concurrent Programs in Vector Space 29

Quantifiability: Correctness of Concurrent Programs in Vecto...

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29th Euromicro International conference on parallel, distributed and Network-Based processing (PDP)

作者： Cook, Victor Peterson, Christina Painter, Zachary Dechev, Damian Univ Cent Florida Orlando FL 32816 USA

ISBN: (纸本)9781665414555

Architectural imperatives due to the slowing it Moore's Law, the broad acceptance of relaxed semantics and the O(nl) worst case verification complexity of generating sequential histories motivate a new approach to concurrent correctness. Desiderata for a new correctness condition are that it he independent of sequential histories, compositional, flexible as to timing, modular as to semantics and free of inherent locking or waiting. We propose Quantifiability, a novel correctness condition that models a system in vector space to launch a new mathematical analysis of concurrency. The vector space model is suitable for a wide range of concurrent systems and their associated data structures. This paper formally defines quantifiability and demonstrates that quantifiability is compositional and non-blocking. Analysis is facilitated with linear algebra, better supported and of much more efficient time complexity than traditional combinatorial methods.

关键词： concurrent correctness multicore performance formal methods

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distributed COMPRESSED SENSING FOR PHOTO-ACOUSTIC IMAGING

DISTRIBUTED COMPRESSED SENSING FOR PHOTO-ACOUSTIC IMAGING

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IEEE International conference on image processing (ICIP)

作者： Francis, K. J. Rajalakshmi, P. Channappayya, Sumohana S. Indian Inst Technol Dept Elect Engn Hyderabad 502205 Andhra Pradesh India

ISBN: (纸本)9781479983391

Photo-Acoustic Tomography (PAT) combines ultrasound resolution and penetration with endogenous optical contrast of tissue. Real-time PAT imaging is limited by the number of parallel data acquisition channels and pulse repetition rate of the laser. Typical photoacoustic signals afford sparse representation. Additionally, PAT transducer configurations exhibit significant intra-and inter-signal correlation. In this work, we formulate photoacoustic signal recovery in the distributed Compressed Sensing (DCS) framework to exploit this correlation. Reconstruction using the proposed method achieves better image quality than compressed sensing with significantly fewer samples. Through our results, we demonstrate that DCS has the potential to achieve real-time PAT imaging.

关键词： Photo-Acoustic Tomography distributed Compressive Sensing Joint sparsity

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Solving sparse triangular linear systems in modern GPUs: a Synchronization-Free algorithm 26

Solving sparse triangular linear systems in modern GPUs: a S...

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26th Euromicro International conference on parallel, distributed, and Network-Based processing (PDP)

作者： Dufrechou, Ernesto Ezzatti, Pablo Univ Republica Inst Computac Montevideo Uruguay

ISBN: (纸本)9781538649756

Sparse triangular linear systems are ubiquitous in a wide range of science and engineering fields, and represent one of the most important building blocks of Sparse Numerical Lineal Algebra methods. For this reason, their parallel solution has been subject of exhaustive study, and efficient implementations of this kernel can be found for almost every hardware platform. However, the strong data dependencies that serialize a great deal of the execution and the load imbalance inherent to the triangular structure poses serious difficulties for its parallel performance, specially in the context of massively-parallel processors such as GPUs. To this day, the most widespread GPU implementation of this kernel is the one distributed in NVIDIA CUSPARSE library, which relies on a preprocessing stage to determine the parallel execution schedule. Although the solution phase is highly efficient, this strategy pays the cost of constant synchronizations with the CPU. In this work, we present a synchronization-free GPU algorithm to solve sparse triangular linear systems for the CSR format. The experimental evaluation shows performance improvements over CUSPARSE and a recently proposed synchronization-free method for the CSC matrix format.

关键词： Sparse triangular linear systems synchronization-free methods graphics processors (GPUs)

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Integrating parallel functions into the manipulation for distributed persistent objects

Integrating parallel functions into the manipulation for dis...

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20th Annual International Computer Software and Applications conference (COMPSAC 96)

作者： Jiang, Y Aritsugi, M Makinouchi, A KURASHIKI UNIV SCI & ARTS DEPT MATH & COMP SCIKURASHIKIOKAYAMA 712JAPAN

ISBN: (纸本)0818675799

Integrating parallel functions into the manipulation for persistent objects on a network-based shared memory architecture is a proposal currently under consideration. The cost associated with manipulating a large amount of distributed persistent objects is expected to improve from sequence to parallel processing. However, it is a complex task to combine persistence with the capability of parallel and distributed processing. This paper puts forth the design and implementation methods concerning this. Based on a C++-based language called INADA, in which functions for handling persistent objects are introduced, we present a language construct for accessing distributed persistent objects in parallel, and a new approach for supporting a transparent parallel and distributed processing. The transparency assures that distributed persistent objects are manipulated in parallel on multiple threads of remote computers as if they were manipulated in a local multiprocessor machine. A key point of this proposal is that we have made a combination of persistence, multithread primitives, network-based shared-memory, and agent-oriented paradigm.

关键词： Object oriented programming

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Kulla, a container-centric construction model for building infrastructure-agnostic distributed and parallel applications

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JOURNAL OF SYSTEMS AND SOFTWARE 2020年 168卷 110665-110665页

作者： Reyes-Anastacio, Hugo G. Gonzalez-Compean, J. L. Sosa-Sosa, Victor J. Carretero, Jesus Garcia-Blas, Javier CINVESTAV Unidad Tamaulipas Km 5-5 Carr Soto la Marina Victoria 87130 Tamaulipas Mexico Univ Carlos III Madrid Comp Sci & Engn Dept Av Univ 30 Madrid 28911 Spain

This paper presents the design, development, and implementation of Kulla, a virtual container-centric construction model that mixes loosely coupled structures with a parallel programming model for building infrastructure-agnostic distributed and parallel applications. In Kulla, applications, dependencies and environment settings, are mapped with construction units called Kulla-Blocks. A parallel programming model enables developers to couple those interoperable structures for creating constructive structures named Kulla-Bricks. In these structures, continuous dataflow and parallel patterns can be created without modifying the code of applications. methods such as Divide&Containerize (data parallelism), Pipe&Blocks (streaming), and Manager/Block (task parallelism) were developed to create Kulla-Bricks. Recursive combinations of Kulla instances can be grouped in deployment structures called Kulla-Boxes, which are encapsulated into VCs to create infrastructure-agnostic parallel and/or distributed applications. Deployment strategies were created for Kulla-Boxes to improve the IT resource profitability. To show the feasibility and flexibility of this model, solutions combining real-world applications were implemented by using Kulla instances to compose parallel and/or distributed system deployed on different IT infrastructures. An experimental evaluation based on use cases solving satellite and medical image processing problems revealed the efficiency of Kulla model in comparison with some traditional state-of-the-art solutions. (C) 2020 Published by Elsevier Inc.

关键词： Infrastructure-agnostic applications Construction model Virtual containers parallel patterns Pipelines

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parallel "GroupBy-Before-Join" query processing for high performance parallel/distributed database systems

Parallel "<i>GroupBy-Before-Join</i>" query processing for h...

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20th International conference on Advanced Information Networking and Applications

作者： Taniar, David Rahayu, Wenny Monash Univ Clayton Vic 3168 Australia La Trobe Univ Melbourne Vic Australia

ISBN: (纸本)0769524664

GroupBy-Join queries in SQL are queries involving the group by clause joining several tables. In this paper, we describe three parallelization techniques for GroupBhy-Join queries, particularly the queries where the group-by clause can be performed before the join operation. We subsequently call this query "GroupBy-Before-Join" queries. Performance evaluation of the three parallel processing methods is also carried out.

关键词： parallel processing systems

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Research on parallel Technology of Sea and Land Segmentation Based on Deep Learning 13

Research on Parallel Technology of Sea and Land Segmentation...

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13th International conference on Graphics and image processing (ICGIP)

作者： Jiang Min Zhang Xuebo Zhang Chengguang Space Engn Univ Sch Space Informat Beijing 101400 Peoples R China

ISBN: (数字)9781510650435

ISBN: (纸本)9781510650435;9781510650428

Based on the requirements of large-scale and high-resolution remote sensing image data processing, this paper proposes a distributed parallel processing model based on sea and land segmentation tasks. Based on the trained DeepUnet model, the mpi4py function library is used for parallel algorithm design to realize multi-process synchronization processing. Increase the number of processors and reduce the processing time of large-scale and high-resolution remote sensing image data. The experimental results show that on the basis of ensuring the detection accuracy, the parallel sea- land segmentation technology can significantly shorten the image processing time compared with the traditional serial sea-land segmentation technology, and has strong scalability.

关键词： Deep learning FCN parallel processing technology high-resolution remote sensing image sea segmentation

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Reducing the Communication of Message-Passing Systems Synthesized from Synchronous Programs

Reducing the Communication of Message-Passing Systems Synthe...

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22nd Euromicro International conference on parallel, distributed, and Network-Based processing (PDP)

作者： Baudisch, Daniel Bai, Yu Schneider, Klaus Univ Kaiserslautern D-67663 Kaiserslautern Germany

ISBN: (纸本)9781479927289

This paper presents a method to translate a given synchronous system to a multithreaded system where process nodes communicate via channels with each other. It is well-known that the reduction of communication has been identified to be a crucial key for efficient utilization of multiprocessor systems. For this reason, we first use synchronous elastic design methods to generate a distributed/multithreaded system from a synchronous system, and then, reduce communication overhead between the obtained process nodes. Our benchmarks show that we can save up to 67.5% of communication costs using our method and can achieve an average speed-up of up to 1.09.

关键词： message passing multi-threading multiprocessing systems communication overhead message-passing systems multiprocessor systems multithreaded system synchronous elastic design methods synchronous programs Benchmark testing Educational institutions Optimization Receivers Software Synchronization Writing

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Fully distributed and fault tolerant task management based on diffusions

Fully distributed and fault tolerant task management based o...

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17th Euromicro International conference on parallel, distributed and Network-Based processing

作者： Bui, Alain Flauzac, Olivier Rabat, Cyril Univ Versailles St Quentin Yvelines Lab PRiSM CNRS UMR 8144 F-78035 Versailles France Univ Reims CReSTIC SysCom F-51687 Reims 2 France

ISBN: (纸本)9780769535449

The task management is a critical component for the computational grids. The aim is to assign tasks on nodes according to a global scheduling policy and a view of local resources of nodes. A peer-to-peer approach for the task management involves a better scalability for the grid and a higher fault tolerance. But some mechanisms have to be proposed to avoid the computation of replicated tasks that can reduce the efficiency and increase the load of nodes. In the same way, these mechanisms have to limit the number of exchanged messages to avoid the overload of the network. In [1], we have proposed two methods for the task management called active and passive. These methods are based on a random walk: they are fully distributed and fault tolerant. Each node owns a local tasks states set updated thanks to a random walk and each node is in charge of the local assignment. Here, we propose three methods to improve the efficiency of the active method. These new methods are based on a circulating word. The nodes local tasks states sets are updated thanks to periodical diffusions along trees built from the circulating word. Particularly, we show that these methods increase the efficiency of the active method: they produce less replicated tasks. These three methods are also fully distributed and fault tolerant. On the other way, the circulating word can be exploited for other applications like the resources management or the nodes synchronization.

关键词： Efficiency

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