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distributed, parallel and biologically inspired systems: 7th IFIPTC 10working conference, DIPES 2010 and 3rd IFIP TC 10 international conference, BICC 2010 held as part of WCC 2010 Brisbane, Australia, september 20-23, 2010 proceedings 7th

Distributed, parallel and biologically inspired systems: 7th...

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7th IFIP TC 10 Working Conference on distributed and parallel Embedded Systems, DIPES 2010 and 3rd IFIP TC 10 International Conference on Biologically-Inspired Collaborative computing, BICC 2010 Held as Part of 21st IFIP World Computer Congress, WCC 2010

作者： Hinchey, Mike Kleinjohann, Bernd Kleinjohann, Lisa Lindsay, Peter Rammig, Franz J. Timmis, Jon Wolf, Marilyn Lero University of Limerick Limerick Ireland University of Paderborn/C-Lab Germany University of Queensland St.Lucia Australia University of Paderborn Heinz Nixdorf Institute Germany University ofYork Heslington United Kingdom Georgia Institute of Technology Atlanta United States

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4th European Recent advances in parallel Virtual Machine and Message Passing Interface Users’ Group Meeting, PVM/MPI 1997

4th European Recent Advances in Parallel Virtual Machine and...

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4th European Conference on parallel Virtual Machine and Message Passing Interface, PVM/MPI 1997

ISBN: (纸本)3540636978

The proceedings contain 62 papers. The special focus in this conference is on Evaluation, Performance, Extensions and Improvements. The topics include: Comparison of PVM and MPI performance in short-range molecular dynamics simulation;analyzing the performance of MPI in a cluster of workstations based on fast ethernet;a comparison of MPI performance on different MPPs;predicting the performance of injection communication patterns on PVM;evaluation of the communication performance on a parallel processing system;evaluating personal high performance computing with PVM on windows and LINUX environments;experimental evaluation of PVM group communication;ARCH, an object oriented MPI-based library for asynchronous and loosely synchronous parallel system programming;an extension to MPI for distributed computing on MPPs;heterogeneous MPI application interoperation and process management under PVMPI;advanced capabilities in PVM 3.4;using PVM to build an interface to support cooperative work in a distributed systems environment;towards portable message passing in java;control activities in message passing environment;global semaphores in a parallel programming environment;a synchronizing shared memory;communication in multi-physics applications;embedding SCI into PVM;breaking the curse of dynamics by task migration;PVM on the rhodos distributed operating system;a function to dynamic workload allocation in distributed applications;integrating PVaniM into WAMM for monitoring meta-applications;evaluation of parallel application’s behavior in message passing environment;message-passing program development by ensemble and interaction patterns detection in PVM programs to support simulation.

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A massively parallel distributed N-body application implemented with HPX 7

A massively parallel distributed N-body application implemen...

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7th Workshop on Latest advances in Scalable Algorithms for Large-Scale Systems, ScalA 2016

作者： Khatami, Zahra Kaiser, Hartmut Grubel, Patricia Serio, Adrian Ramanujam, J. Center for Computation and Technology Louisiana State University United States New Mexico State University Las CrucesNM United States STE-AR Group United States

ISBN: (纸本)9781509052226

One of the major challenges in parallelization is the difficulty of improving application scalability with conventional techniques. HPX provides efficient scalable parallelism by significantly reducing node starvation and effective latencies while controlling the overheads. In this paper, we present a new highly scalable parallel distributed N-Body application using a future-based algorithm, which is implemented with HPX. The main difference between this algorithm and prior art is that a future-based request buffer is used between different nodes and along each spatial direction to send/receive data to/from the remote nodes, which helps removing synchronization barriers. HPX provides an asynchronous programming model which results in improving the parallel performance. The results of using HPX for parallelizing Octree construction on one node and the force computation on the distributed nodes show the scalability improvement on an average by about 45% compared to an equivalent OpenMP implementation and 28% compared to a hybrid implementation (MPI+OpenMP) [1] respectively for one billion particles running on up to 128 nodes with 20 cores per each. © 2016 IEEE.

关键词： Scalability

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A Survey on Energy efficiency in Cloud computing Frameworks at Different Platforms 5

A Survey on Energy efficiency in Cloud Computing Frameworks ...

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5th IEEE International Conference on advances in computing, Communication Control and Networking, ICAC3N 2023

作者： Anul Solanki, Kamna Dhankar, Amita Uiet Maharishi Dayanand University Department Of Computer Science And Engineering Rohtak India Maharishi Dayanand University Department Of Computer Science And Applications Rohtak India

ISBN: (纸本)9798350330861

Cloud computing is a paradigm that offers a restricted set of virtualized resources that may be accessed as needed. It is crucial to allocate these resources on target machines in a manner that minimizes both inadequate utilization and excess utilization, as these conditions can result in substantial consumption of energy. The term 'nano data centers' refers to a network of widely dispersed computers that have the capability to both host and distribute material and solicitations in a peer-to-peer manner. The investigation of energy usage in nano servers has not been extensively explored, despite their increasing popularity. Several findings have been derived from our study, which highlight the aspects within the system design that enable nDCs to achieve lower energy consumption compared to their centralized counterparts. This paper presents a comprehensive definition of Cloud Frameworks, encompassing many platforms such as edge computing, green computing, parallel computing, distributed computing, and fog computing. In conclusion, this study highlights a number of obstacles and potential within the realm of cloud computing. It is our intention that this work will attract the interest of the academic community and serve as a catalyst for further investigation in this domain. © 2023 IEEE.

关键词： Fog computing

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Communication-Space efficient parallel bitonic sorting on symmetric multiprocessors

Communication-Space efficient parallel bitonic sorting on sy...

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4th IASTED International Conference on advances in Computer Science and Technology, ACST 2008

作者： Thanakulwarapas, Tipraporn Werapun, Jeeraporn Ladkrabang Bangkok 10520 Thailand

ISBN: (纸本)9780889867307

This paper presents a new efficient data-exchange process in parallel sorting, which improves both communication time and memory space. In this communication-space efficient strategy, we proposed two new parallel sorting algorithms: 1) CSEBS (Communication-Space Efficient Bitonic Sort) algorithm and 2) CSEOE (Communication-Space Efficient Odd-Even MergeSort) algorithm. In addition, to evaluate the performance, we have implemented the CSEBS and the CSEOE algorithms on the SGI Origin2000. Investigated experimental results have been compared to those of the best of existing algorithm (CEBS: Communication Efficient Bitonic Sort). In the experiments, the proposed CSEBS algorithm yielded the improved results over those of the best of existing algorithm (CEBS) at least 11% on the system of size P = 4 and at least 31% on the system of size P = 8. Moreover our approach can save memory space up to 50%.

关键词： Electronic data interchange

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parallel design and implementation of SOM neural computing model in PVM environment of a distributed system

Parallel design and implementation of SOM neural computing m...

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proceedings of the advances in parallel and distributed computing

作者： Huiwei Guan Chi-kwong Li To-yat Cheung Songnian Yu Department of Computer Science City University of Hong Kong Department of Electronic Engineering Hong Kong Polytechnic University Hung Hom Department of Computer Engineering Shanghai University

ISBN: (纸本)0818678763

A parallel design and implementation of the Self-Organizing Map (SOM) neural computing model is proposed. The parallel design of SOM is implemented in a parallel virtual machine (PVM) environment of a distributed system. A practical realization of SOM algorithm is investigated, the construction of computing module in parallel virtual machine is discussed, the communication methods and an optimization of message passing between multiple processes are proposed, and the parallel programming technique and a PVM implementation of SOM neural computing model are given and discussed in detail.

关键词： Concurrent computing distributed computing Virtual machining Design engineering Message passing Application software Signal processing algorithms Modular construction Computer networks parallel programming

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Gauss: A Framework for Verifying Scientific computing Software

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ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE 2006年第3期144卷 95-106页

作者： Palmer, Robert Barrus, Steve Yang, Yu Gopalakrishnan, Ganesh Kirby, Robert M. Univ Utah Sch Comp Salt Lake City UT 84112 USA

High performance scientific computing software is of critical international importance as it supports scientific explorations and engineering. Software development in this area is highly challenging owing to the use of parallel/distributed programming methods and complex communication and synchronization libraries. There is very little use of formal methods to debug software in this area, given that the scientific computing community and the formal methods community have not traditionally worked together. The Utah Gauss project combines expertise from scientific computing and formal methods in addressing this problem. We currently focus on MPI programs which are the kind that run on over 60% of world's supercomputers. These are programs written in C / C++ / FORTRAN employing message passing concurrency supported by the Message Passing Interface (MPI) library. Large-scale MPI programs also employ shared memory threads to manage concurrency within smaller task sub-groups, capitalizing on the recent availability of small-scale (e.g. single-chip) shared memory multiprocessors;such mixed programming styles can result in additional bugs. MPI libraries themselves can be buggy as they strive to implement complex requirements employing aggressive techniques such as multi-threading. We have built a model extractor that extracts from MPI C programs a formal model consisting of communicating processes represented in Microsoft's Zing modeling language. MPI library functions are also being modeled in Zing. This allows us to run formal analysis on the models to detect bugs in the MPI programs being analyzed. Our preliminary results and future plans are described;in addition, our contribution is to expose the special needs of this area and suggest specific avenues for problem-driven advances in software model-checking applied to scientific computing software development and verification.

关键词： Model checking scientific computing MPI programming

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parallel processing on traditional serial programs by huge node data flow

Parallel processing on traditional serial programs by huge n...

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proceedings of the advances in parallel and distributed computing

作者： Siwei Luo Anfeng Huang Yaping Huang Department of Computer Science and Technology Northern Jiaotong University Beijing China

ISBN: (纸本)0818678763

This paper introduces an algorithm that can generate huge node data flow by compiling existing programs. The purpose of this algorithm is to improve the speed of parallel processing and utilize the large amount of existing program resources. In addition, this idea of huge node data flow algorithm can also be used in distributed processing and multi-thread processing.

关键词： parallel processing Data flow computing Concurrent computing Program processors distributed processing Humans Computer aided instruction Arithmetic Assembly parallel architectures

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proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on advances in Geographic Information Systems, ACM SIGSPATIAL 2019

Proceedings of the 1st ACM SIGSPATIAL International Workshop...

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1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on advances in Geographic Information Systems, ACM SIGSPATIAL 2019

ISBN: (纸本)9781450369534

The proceedings contain 5 papers. The topic discussed include: GIS++: modern C++ for efficient and parallel in-memory spatial computing;interactive 3D Web mapping with HERE technologies;spatial data wrangling with GeoSpark - a step by step tutorial;tutorial on distributed trajectory management in Secondo;and Rasdaman: open standards based scalable datacube analytics.

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An Efficient Dynamic Priority-Queue Algorithm Based on AHP and PSO for Task Scheduling in Cloud computing 1

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16th International Conference on Hybrid Intelligent Systems (HIS) / 8th World Congress on Nature and Biologically Inspired computing (NaBIC)

作者： Ben Alla, Hicham Ben Alla, Said Ezzati, Abdellah Touhafi, Abdellah Hassan 1 Univ LAVETE Lab Sci & Tech Fac Sci & Tech FacMath & Comp Sci Dept Settat 26000 Morocco Vrije Univ Brussel Dept Elect & Informat ETRO Pl Laan 2 B-1050 Brussels Belgium

ISBN: (数字)9783319529417

ISBN: (纸本)9783319529417;9783319529400

Nowadays Cloud computing is an emerging technology in the area of parallel and distributed computing. Task scheduling is one of the major issues in cloud computing, which plays an important role to improve the overall performance and services of the cloud. Task scheduling in cloud computing means assign best suitable resources for the task to be executed with the consideration of different parameters like execution time, user priority, cost, scalability, throughput, makespan, resource utilization and so on. In this paper, we address the challenge of task scheduling, and we consider one of most critical issues in scheduling process such as the task priorities. The goal of this paper is to propose an efficient Dynamic Priority-Queue (DPQ) algorithm based on Analytic Hierarchy Process (AHP) with Particle Swarm Optimization (PSO) algorithm. The proposed algorithm DPQ-PSO gives full consideration to the dynamic characteristics of the cloud computing environment. Further, the proposed algorithm has been validated through the CloudSim simulator. The experimental results validate that the proposed approach can effectively achieve good performance, user priority, load balancing, and improve the resource utilization.

关键词： Cloud computing PSO algorithm AHP DPQ-PSO algorithm Task scheduling Dynamic queues

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