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检索条件"主题词=distributed processing"

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A Sorted and Dynamic Graph Storage System of the Hybrid Memory Architecture

A Sorted and Dynamic Graph Storage System of the Hybrid Memo...

引用

International Symposium on Parallel and distributed processing with Applications, ISPA

作者： Yang Ao Yutong Deng Dingding Li Yong Tang School of Computer Science South China Normal University Guangzhou China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

Graph data is becoming dynamic and large-scale, demanding high-performance and large-capacity graph storage. Therefore, due to the performance approaching DRAM and the larger capacity than DRAM, persistent memory (PM) has been adopted in large-scale dynamic graph storage systems. However, existing PM-based dynamic graph storage systems have issues, especially PM write amplification caused by the unsorted data structure used to store edges. To improve this issue, we propose a PM-based dynamic graph storage system, HDGraph, using sorted data structure to store edges on DRAM-PM hybrid memory architecture. To better adapt the sorted data structure on PM, HDGraph employs edge buffering on DRAM, merging small writes to reduce write amplification in PM. Moreover, HDGraph also triggers buffer flushing based on a heat evaluating strategy to alleviate DRAM space pressure. Finally, HDGraph maintains a buffering log in PM for edge-level data consistency, enabling quick recovery after a crash. Experimental results show that HDGraph achieves 1.09× to 1.52× higher edge ingestion performance, compared with the only PM-based dynamic graph storage system XPGraph, which use unsorted data structure to store edges.

关键词： distributed processing Memory architecture Merging Random access memory distributed databases Data structures Computer crashes Space heating Heat recovery

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A push-based prefetching for cooperative caching RAM Grid

A push-based prefetching for cooperative caching RAM Grid

引用

International Conference on Parallel and distributed Systems (ICPADS)

作者： Rui Chu Nong Xiao Lei Chen Xicheng Lu National Laboratory for Parallel and Distributed Processing ChangSha Hunan China Hong Kong University of Science and Technology Kowloon Hong Kong China

As an innovative distributed computing technique for sharing the memory resources in high-speed network, RAM Grid exploits the distributed free nodes, and provides remote memory for the nodes which are short of memory. One of the RAM Grid systems named DRACO, tries to provide cooperative caching to improve the performance of the user node which has mass disk I/O but lacks local memory. However, the performance of DRACO is constrained with the network communication cost. In order to hide the latency of remote memory access and improve the caching performance, we proposed using push- based prefetching to enable the caching providers to push the potential useful memory pages to the user nodes. Specifically, for each caching provider, it employs sequential pattern mining techniques, which adapts to the characteristics of memory page access sequences, on locating useful memory pages for prefetching. We have verified the effectiveness of the proposed method through system analysis and trace-driven simulations.

关键词： Prefetching Cooperative caching Random access memory Read-write memory Delay High-speed networks File systems Costs Laboratories distributed processing

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Conception of a multimedia electronic mail based on standards

Conception of a multimedia electronic mail based on standard...

引用

IEEE Workshop on Future Trends of distributed Computing Systems

作者： V. Gay B. Kervella E. Horlait Laboratoire MAS1 Université Pierre et Marie Curie Paris France

The authors study multimedia electronic mail together with the issues of concern surrounding it and give an overview of a user-friendly multimedia electronic mail. Based on this study, the authors present a multimedia electronic system that allows the originator to write a scenario to coordinate the parts it sends and to adapt the message restitution to the receiver messaging system.< >

关键词： Electronic mail Multimedia databases Multimedia systems distributed processing Graphics Workstations Prototypes distributed databases Standardization Information management

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Relaxation labeling and associative memory

Relaxation labeling and associative memory

引用

International Conference on Neural Networks

作者： Xinhui Zhang Dept. of Electr. & Comput. Eng. Missouri Univ. Columbia MO USA

This paper attempts to consolidate the theoretical foundation of the relaxation labeling processes, explore the connections between the relaxation labeling model and the Hopfield associative memory model, and seek for their unification. We start by defining a new labeling assignment space and then formulating relaxation labeling process as a dynamic system of Lyapunov type, which is equipped with a well defined energy function and described by a naturally fitted updating rule. We present consistency condition and show each /spl omega/-limit point of the dynamic system gives a consistent labeling. We finally make a peace between the multilabel and one-label relaxation labeling and reveal an interesting result that, for a one-label case, the newly formulated relaxation labeling model reduces to the Hopfield associative memory model.

关键词： Labeling Associative memory Neurons Power system modeling Computer networks distributed computing Computer errors Error correction distributed processing Immune system

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Frugal Decentralized Learning

Frugal Decentralized Learning

引用

International Symposium on Parallel and distributed processing (IPDPS)

作者： Anne-Marie Kermarrec

Machine learning is currently shifting from a centralized paradigm to decentralized ones where machine learning models are trained collaboratively. In fully decentralized learning algorithms, data remains where it was produced, models are trained locally and only model parameters are exchanged among participating entities along an arbitrary network topology and aggregated over time until convergence. Not only this limits the cost of exchanging data but also exploits the growing capabilities of users' devices while mitigating privacy and confidentiality concerns. Such systems are significantly challenged by a potential high-level of heterogeneity both at the system level as participants may have differing capabilities of (e.g., computing power, memory and network connectivity) as well as data heterogeneity (a.k.a non-IIDness). The adoption of fully decentralized learning systems requires designing frugal systems that limit communication, energy and yet ensure convergences. Several avenues are promising from adapting the network topologies to compensate for data heterogeneity to exploiting the high levels of redundancy, both in data and computations, of ML algorithms to limit data and model sharing in such systems.

关键词： Biological system modeling Machine learning Data models Network topology distributed processing Technological innovation Systems support

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Implementation and evaluation of a parallel text searcher for very large text databases

Implementation and evaluation of a parallel text searcher fo...

引用

Annual Hawaii International Conference on System Sciences (HICSS)

作者： L.A. Hollaar Department of Computer Science University of Utah Salt Lake UT USA

The Utah Retrieval System Architecture (URSA) was initially developed in 1981 developed as an alternative to central-processor-based information retrieval systems. It combined distributed processing and a windowed user interface with a hardware-based search server combined with using document surrogates such as partially-inverted files. The authors have now started the development and testing of a medium-scale (about 10 gigabyte) parallel backend search server to demonstrate its operation and to gather data on the use of such a backend processor in actual operation, including information about query complexity and arrival rates. This searcher, based on a hardware-augmented RISC processor, builds on their experience developing and operating the custom VLSI FSA-based search engine. The use of a programmable processor allows the easy implementation of complex search patterns, such as numeric range matching, while the special hardware augmentation provides considerably better performance than would be available from a standard RISC processor server.< >

关键词： Information retrieval Reduced instruction set computing distributed processing User interfaces File servers Testing Very large scale integration Search engines Pattern matching Hardware

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Survivable Command, Control and Communication

Survivable Command, Control and Communication

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MILCOM, Military Communications Conference

作者： Michael S. Frankel Information Sciences and Technology Center SRI International Inc. Menlo Park CA USA

To support future command and control (C 2 ) concepts, military telecommunications and information processing must change significantly. Highly automated and integrated communications and processing systems will be required, which must be able to manage and reconstitute themselves at the network level and the internetwork level if the survivable C 2 architectures required by the military are going to be developed. Emerging technologies in automated communication-resource management, distributed processing, and artificial intelligence (AI) will provide the foundation for building such systems. With these technologies, a battlefield information-management environment can be developed that will readily support distributed, self-managing and self-reconstituting, and, hence, survivable, C 2 . The series of papers presented in this MILCOM '87 session entitled "distributed Systems" were invited to address the theme of survivable command, control and communication (C 3 ). Although one could anticipate a myriad of papers and topics related to such a broad theme, I have selected a series of papers that focus on advanced research and development of technologies related to a conceptual model that I developed as a result of several years of involvement with distributed processing and communications research for tactical and strategic survivable C 3 . This model and its relevance to survivable C 3 are presented in my paper, which introduces the session. This model provides a framework for the six papers that will be presented, which are shown below. 1. "Multi-Destination Protocols for Tactical Radio Networks" by Edgar Caples, Rockwell International. 2.

关键词： Communication system control Military communication distributed processing Artificial intelligence Automatic control Telecommunication control Command and control systems Information processing IP networks Communications technology

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An electronic neurocomputer using general purpose floating point digital signal processors

An electronic neurocomputer using general purpose floating p...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： A. Iwata Y. Sato N. Suzumura S. Matsuda Y. Yoshida Department of Electrical & Computer Eng. Nagoya Institute of Technology Nagoya Japan Mitec Corporation Tokyo Japan

An electronic neurocomputer, Neuro Turbo, has been implemented, using the recently developed general-purpose, 24-bit floating-point digital signal processor (DSP), MB86220. The Neuro Turbo is a MIMD (multiple-instruction-multiple-data) type parallel processor with four ring-coupled DSPs and four dual-port memories. The performance of the Neuro Turbo has been evaluated for several kinds of three-layer neural network. An operational speed of 2 MCPS for the learning process and 11 MCPS for the rewarding process has been achieved.< >

关键词： Digital signal processors Digital signal processing Computer architecture Neural networks National electric code Microcomputers Signal processing algorithms distributed processing Hardware Random access memory

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Don't Miss the Train: A Case for Systems Research into Training on the Edge

Don't Miss the Train: A Case for Systems Research into Train...

引用

IEEE International Symposium on Parallel and distributed processing Workshops and Phd Forum (IPDPSW)

作者： Prashanthi S. K Aakash Khochare Sai Anuroop Kesanapalli Rahul Bhope Yogesh Simmhan Indian Institute of Science Bangalore India

The rapid growth of Internet of Things (IoT) and au-tonomous systems has led to the deployment of edge devices close to the sensing data source for low-latency computation.

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

The rapid growth of Internet of Things (IoT) and au-tonomous systems has led to the deployment of edge devices close to the sensing data source for low-latency computation.

关键词： Training Performance evaluation distributed processing Costs Smart cities Soft sensors Conferences

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ST-GAIN: Generative Dynamic Style Transfer Structure for Missing Traffic Speed Data Imputation

ST-GAIN: Generative Dynamic Style Transfer Structure for Mis...

引用

International Symposium on Parallel and distributed processing with Applications, ISPA

作者： Xin-Wei Yao Jiacheng Wu Qiang Li Zhong-Hua Yao Zhenzhu Wang College of Computer Science and Technology Zhejiang University of Technology Hangzhou China Institute for Frontiers and Interdisciplinary Sciences Zhejiang University of Technology Hangzhou China Zhejiang Institute of Communications Hangzhou China Zhejiang Hikailink Technology CO. LTD. Hangzhou China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

The sensing coverage of roadside sensing system usually does not cover the entire road network, resulting in block missing values in traffic data. Traditional methods either adopted simple hints or graph neural networks to capture the speed variation. However, these methods fail to consider that block missing values have less surrounding values and are less susceptible to the influence of adjacent data. The paper proposes Dynamic Style Transfer-based Generative Adversarial Imputation Network (ST-GAIN) for block missing traffic speed imputation. The core idea is to adopt temporal clustering to abstract a large volume of traffic speed into a series of style data. Subsequently, a dynamic encoding network of latent style codes is performed based on the similarity between the missing speed data and the style data. These style codes are then fed into a style transfer network to guide the imputation of the missing values. Additionally, a style discriminator is used to guide style transfer during training. The experimental results demonstrate that the proposed model outperforms state-of-the-art methods by an average of more than 15% in accuracy.

关键词： Training distributed processing Codes Roads distributed databases Imputation Encoding Data models Graph neural networks Sensors

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