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检索条件"任意字段=IFIP International Conference on Network and Parallel Computing"

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Load Balancing and parallel Computation Model for Performance and Accuracy over the Cluster of Nodes 2

Load Balancing and Parallel Computation Model for Performanc...

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2nd international conference on Innovative Practices in Technology and Management, ICIPTM 2022

作者： Vasuda, V. Srividya, K. Anusha, M. Vasavi College Of Engineering Hyderabad Telangana India

ISBN: (纸本)9781665466431

Cloud computing can be online based network engineering which contributed with a rapid advancement at the progress of communication technological innovation by supplying assistance to clients of assorted conditions with aid from online computing sources. It's terms of hardware and software apps together side software growth testing and platforms applications because tools. Large-scale heterogeneous distributed computing surroundings give the assurance of usage of a huge quantity of computing tools in a comparatively low price. As a way to lessen the software development and setup onto such complicated surroundings, high speed parallel programming languages exist which have to be encouraged by complex operating techniques. There are numerous advantages for consumers in terms of cost and flexibility that come with Cloud computing's anticipated uptake. Building on well-established research in Internet solutions, networks and utility computing, virtualization et cetera Service-Oriented Architectures and the Internet of Services (IoS) have implications for a wide range of technological issues such as parallel computing and load balancing as well as high availability and scalability. Effective load balancing methods are essential to solving these issues. Since such systems' size and complexity make it impossible to concentrate job execution on a few select servers, a parallel distributed solution is required. Adaptive task load model is the name of the method wesuggest in our article for balancing the workload (ATLM). We developed an adaptive parallel distributed computing paradigm as a result of this (ADPM). While still maintaining the model's integrity, ADPM employs a more flexible synchronization approach to cut down on the amount of time synchronous operations use. As well as the ATLM load balancing technique, which solves the straggler issue caused by the performance disparity between nodes, ADPM also applies it to ensure model correctness. The results indicate that

关键词： Application programs

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Active networking support for the grid 1

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ifip-TC6 3rd international Working conference on Active networks, IWAN 2001

作者： Lefèvre, Laurent Pham, Cong-Duc Primet, Pascale Tourancheau, Bernard Gaidioz, Benjamin Gelas, Jean-Patrick Maimour, Moufida RESAM Laboratory Université Claude Bernard Lyon1 Action INRIA RESO Ecole Normale Supérieure de Lyon 46 Allée d’Italie Lyon Cedex 0769364 France SUN Labs Europe 29 Chemin du vieux chêne Meylan38240 France

ISBN: (数字)9783540454519

ISBN: (纸本)9783540426783

Grid computing is a promising way to aggregate geographically distant machines and to allow them to work together to solve large problems. After studying Grid network requirements, we observe that the network must take part of the Grid computing session to provide intelligent adaptative transport of Grid data streams. By proposing new intelligent dynamic services, active network can be the perfect companion to easily and efficiently deploy and maintain Grid environments and applications. This paper presents the Active Grid Architecture (A-Grid) which focus on active networks adaptation for supporting Grid environments and applications. We focus the benefit of active networking for the grid on three aspects: High performance and dynamic active services, Active Reliable Multicast, and Active Quality of Service. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Grid computing

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Track Chair's Report: Convergence of Distributed Clouds, Grids and their Management CDCGM 2017 Cloud Native or Cloud Agnostic? That is the Question in 2017 WETICE2017 Poznan, Poland, June 21-23, 2017 26

Track Chair's Report: Convergence of Distributed Clouds, Gri...

引用

26th IEEE international conference on Enabling Technologies - Infrastructure for Collaborative Enterprises (WETICE)

作者： Messina, Fabrizio Mikkilineni, Rao Morana, Giovanni Rosaci, Domenico Univ Catania Dept Math & Informat Vle Andrea Doria 6 I-95125 Catania Italy C3DNA Inc Santa Clara CA USA C3DNA Inc R&D & Engn Catania Italy Univ Reggio Calabria DICEAM Dept Reggio Di Calabria RC Italy

ISBN: (纸本)9781538617595

This track started in 2009 with opening remarks from the Chair observing that the computing cloud evolution depends on research efforts from the infrastructure providers creating next generation hardware that is service friendly, service developers that embed business service intelligence in the computing infrastructure to create distributed business workflow execution services and service providers who assure service delivery on a massive scale with global interoperability. The state of the art architecture and evolution of the cloud at that time was already increasing datacenter complexity by piling up new layers of management over the many layers that already exist. Since then, the scale of distributed applications and their management have taken a new dimension demanding tolerance to wild fluctuations both in workloads and available computing resource pools. There are many calls to go cloud native and architect applications using the many services provided by the cloud providers such as Amazon Web Services. On the other hand, there are also calls for avoiding vendor lock-in by going multi-cloud and becoming cloud agnostic. In this conference there is a new paper that proposes cloud agnostic approach with globally interoperable cloud network using private or public network while reducing the complexity of Virtual machine image motion across clouds. In addition, there are 7 papers describing advances in current distributed and cloud computing practices dealing with quality of service, adaptive algorithms and software defined network architectures.

关键词： Cloud computing grid computing Distributed Intelligent Managed Element networks Distributed Services Management Services Virtualization parallel computing

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Application-Based Fault Tolerance for Numerical Linear Algebra at Large Scale 27th

Application-Based Fault Tolerance for Numerical Linear Algeb...

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27th international European conference on parallel and Distributed computing (Euro-Par)

作者： Gonzalez, Daniel Alberto Torres Univ Sorbonne Paris Nord LIPN CNRS UMR 7030 Villetaneuse France

ISBN: (纸本)9783031061561;9783031061554

Large scale architectures provide us with high computing power, but as the size of the systems grows, computation units are more likely to fail. Fault-tolerant mechanisms have arisen in parallel computing to face the challenge of dealing with all possible errors that may occur at any moment during the execution of parallel programs. Algorithms used by fault-tolerant programs must scale and be resilient to software/hardware failures. Recent parallel algorithms have demonstrated properties that can be exploited to make them fault-tolerant. In my thesis, I design, implement and evaluate parallel and distributed fault-tolerant numerical computation kernels for dense linear algebra. I take advantage of intrinsic algebraic and algorithmic properties of communication-avoiding algorithms in order to make them fault-tolerant. I am focusing on dense matrix factorization kernels: I have results on LU and preliminary results on QR. Using performance evaluation and formal methods, I am showing that they can tolerate crash-type failures, either re-spawning new processes on-the-fly or ignoring the error.

关键词： Fault tolerance High Performance computing Linear algebra Matrix factorizations LU

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A Configurable Rule based Classful Token Bucket Filter network Request Scheduler for the Lustre File System 17

A Configurable Rule based Classful Token Bucket Filter Netwo...

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international conference for High Performance computing, networking, Storage and Analysis (SC)

作者： Qian, Yingjin Li, Xi Ihara, Shuichi Zeng, Lingfang Kaiser, Juergen Suess, Tim Brinkmann, Andre Data Direct Networks Shanghai Peoples R China Data Direct Networks Tokyo Japan Johannes Gutenberg Univ Mainz Mainz Germany

ISBN: (数字)9781450351140

ISBN: (纸本)9781450351140

HPC file systems today work in a best-effort manner where individual applications can flood the file system with requests, effectively leading to a denial of service for all other tasks. This paper presents a classful Token Bucket Filter (TBF) policy for the Lustre file system. The TBF enforces Remote Procedure Call (RPC) rate limitations based on (potentially complex) Quality of Service (QoS) rules. The QoS rules are enforced in Lustre's Object Storage Servers, where each request is assigned to an automatically created QoS class. The proposed QoS implementation for Lustre enables various features for each class including the support for high-priority and real-time requests even under heavy load and the utilization of spare bandwidth by less important tasks under light load. The framework also enables dependent rules to change a job's RPC rate even at very small timescales. Furthermore, we propose a Global Rate Limiting (GRL) algorithm to enforce system-wide RPC rate limitations.

关键词： Lustre parallel File Systems Quality of Service QoS

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Proceedings - 15th IEEE international Symposium on parallel and Distributed Processing with Applications and 16th IEEE international conference on Ubiquitous computing and Communications, ISPA/IUCC 2017

Proceedings - 15th IEEE International Symposium on Parallel ...

引用

15th IEEE international Symposium on parallel and Distributed Processing with Applications and 16th IEEE international conference on Ubiquitous computing and Communications, ISPA/IUCC 2017

ISBN: (纸本)9781538637906

The proceedings contain 210 papers. The topics discussed include: toward complex search for encrypted cloud data via blind index storage;cooperative game approach for energy-aware load balancing in clouds;a lightweight privacy aware friend locator in mobile social networks;a routing scheme for software-defined satellite network;an efficient scheduling algorithm for energy consumption constrained parallel applications on heterogeneous distributed systems;popularity and cost aware energy-balanced strategy for named data wireless ad-hoc networks;an efficient hardware prefetcher exploiting the prefetch potential of long-stride access pattern on virtual address;and an immune-based optimization algorithm of multi-tenant resource allocation for geo-distributed data centers.

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swCaffe: a parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight

swCaffe: a Parallel Framework for Accelerating Deep Learning...

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IEEE international conference on Cluster computing (CLUSTER)

作者： Li, Liandeng Fang, Jiarui Fu, Haohuan Jiang, Jinlei Zhao, Wenlai He, Conghui You, Xin Yang, Guangwen Tsinghua Univ Beijing 100084 Peoples R China Natl Supercomp Ctr Wuxi Jiangsu Peoples R China Beihang Univ Beijing 100083 Peoples R China

ISBN: (纸本)9781538683194

This paper reports our efforts on swCaffe, a high-efficient parallel framework for accelerating deep neural networks (DNNs) training on Sunway TaihuLight, one of the fastest supercomputers in the world that adopts a unique heterogeneous many-core architecture. First, we point out some insightful principles to fully exploit the performance of the innovative many-core architecture. Second, we propose a set of optimization strategies for redesigning a variety of neural network layers based on Caffe. Third, we put forward a topology-aware parameter synchronization scheme to scale the synchronous Stochastic Gradient Descent (SGD) method to multiple processors efficiently. We evaluate our framework by training a variety of widely used neural networks with the ImageNet dataset. On a single node, swCaffe can achieve 23%similar to 119% overall performance compared with Caffe running on K40m GPU. As compared with Caffe on CPU, swCaffe runs 3.04 similar to 7.84x faster on all networks. When training ResNet50 and AlexNet with 1024 nodes, swCaffe can achieve up to 715.45 x and 928.15x speedup.

关键词： Training Bandwidth Program processors Optimization Neural networks Supercomputers Registers

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Coding Transmission Scheme with High Degrees of Freedom for the Cache-Aided MIMO Interference network 9

Coding Transmission Scheme with High Degrees of Freedom for ...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Liu, Weihua Ding, Guidong Yu, Yuan Song, Wenjun Huang, Daoying College of Electronic Information Engineering Zhengzhou University of Light Industry Zhengzhou China

ISBN: (纸本)9798350376548

In this paper, a multicarrier cache-aided multiple-input multiple-output (MIMO) interference network model is developed around the extension of the application of coded caching technology. A new diagonal-block channel matrix under this model is defined. Based on the diagonal-block channel matrix, an interference-free parallel transmission scheme with joint coded caching and interference alignment (IA) is proposed. A fine quadratic file segmentation strategy is used in the cache design, and the solution of the precoding and filtering matrice is given in the interference design. The scheme comprehensively considers multi-domain wireless resources comprehensively, i.e., space, time and frequency, on the basis of ensuring the recovery of request file at receiver, high degrees of freedom (DoF) is achieved. The proposed coded parallel transmission scheme is superior in terms of DoF and network resource utilization compared to cache-aided single antenna interference network. © 2024 IEEE.

关键词： network coding

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Design of a Cloud Service Middleware to Utilize Free Minutes of Public Cloud Resources 23

Design of a Cloud Service Middleware to Utilize Free Minutes...

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23rd Euromicro international conference on parallel, Distributed, and network-Based Processing (PDP)

作者： Khatua, Sunirmal Mukherjee, Nandini Univ Calcutta Dept Comp Sci & Engn Kolkata 700073 W Bengal India Jadavpur Univ Dept Comp Sci & Engn Kolkata 700032 W Bengal India

ISBN: (纸本)9781479984909

Complexity of cloud services acts as a barrier towards adopting cloud to some of the Cloud Service Users. Cloud Service Middleware plays an important role to get rid of such problems. The middleware manages and optimizes the cloud resources to execute various jobs submitted by the users. A middleware can be enhanced to utilize the idle time of the reserved resources in cloud environment by scheduling these resources free of cost to jobs submitted by the same Cloud Service User (CSU) or a different CSU. This enhancement not only makes it possible to utilize the resources to their fullest extent, but also reduces the usage cost of the CSU who reserved the resources (or a different CSU in certain cases). However, finding the mapping between the jobs and available pool of resources is a key challenge to the design of a middleware. This paper proposes some scheduling algorithms to find such mappings that minimizes the job execution cost within public cloud.

关键词： Amazon EC2 Cloud computing Cloud Service Middleware Partial Hour Resource Scheduling Cloud computing CSU Middleware jobs CLOUDS Clouds management of resources MAPPING(MATHEMATICAL) Scheduling algorithms

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Dynamic communication performance of a hierarchical 3d-torus network

Dynamic communication performance of a hierarchical 3d-torus...

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10th IASTED international conference on parallel and Distributed computing and networks, PDCN 2011

作者： Hafizur Rahman, M.M. Sato, Yukinori Miura, Yasuyuki Inoguchi, Yasushi Center for Information Science JAIST Nomi Ishikawa 923-1292 Japan Shonan Institute of Technology Fujisawa Kanagawa 251-8511 Japan Center for IS JAIST Nomi Ishikawa 923-1292 Japan

ISBN: (纸本)9780889868649

A Hierarchical 3D-Torus (H3DT) network is a 3D-torus network of multiple basic modules, in which the basic modules are 3D-mesh networks, has been proposed for efficient 3D massively parallel computers. The static network performance, the number of vertical links for 3D implementation, and the VLSI layout area of the H3DT network was investigated. It was shown that H3DT network has less number of vertical links with economic layout area, while keeping good network features. However, the dynamic communication performance has not been evaluated yet. In this paper, we evaluate the dynamic communication performance of the H3DT network under both uniform and non-uniform traffic patterns, and compare it with other networks. We found that under non-uniform traffic patterns, the H3DT yields high throughput and low latency, providing better dynamic communication performance compared to TESH, mesh, and torus networks. Also, we found that non-uniform traffic patterns have higher throughput than uniform traffic patterns in the H3DT network.

关键词： Mesh generation

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