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检索条件"任意字段=5th International Symposium on Parallel and Distributed Computing"

共 1516 条记录，以下是341-350 订阅

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Synchronizing parallel Geometric Algorithms on Multi-Core Machines 5

Synchronizing Parallel Geometric Algorithms on Multi-Core Ma...

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5th international symposium on computing and Networking (CANDAR)

作者： Fuentes, Joel Luo, Fei Scherson, Isaac D. Univ Bio Bio Dept Comp Sci & Informat Technol Chillan Chile East China Univ Sci & Technol Sch Informat & Engn Shanghai Peoples R China Univ Calif Irvine Donald Bren Sch Informat & Comp Sci Irvine CA USA

ISBN: (纸本)9781538620878

A thread synchronization mechanism called Spatial Locks for parallel geometric algorithms is presented. We demonstrate that Spatial Locks can ensure thread synchronization on geometric algorithms that perform concurrent operations over geometric surfaces and shapes in two-dimensional or three-dimensional space, considering also that these operations follow a certain order of processing. A parallel algorithm for mesh simplification was implemented using Spatial Locks to show its usefulness when parallelizing geometric algorithms with ease on multi-core machines. Experimental results illustrate the advantage of using this synchronization mechanism, where significant computational improvement can be achieved.

关键词： three-dimensional displays Synchronization Two dimensional displays Shape Yarn Computational modeling Electronic mail three-dimensional displays electronic mail Geometric algorithms Yarns Computational modeling Locks concurrency operation Shape

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distributed real-time simulation of the group manager executing the multicast protocol RFRM 5

Distributed real-time simulation of the group manager execut...

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5th IEEE international symposium on Object-Oriented Real-Time distributed computing (ISORC 2002)

作者： Hong, YS Kim, TG Dongguk Univ Seoul South Korea

ISBN: (纸本)0769515584

Group communication in real-time computing systems is useful for building fault-tolerant distributed real-time applications. the purpose of this paper is to show the efficiency of the group membership manager executing the multicast protocol RRFM(Release-time based Fault-tolerant Real-time Multicast) which is based on the idea of attaching the official release time to each group view send message. In this approach, the group membership manager interacts with the fault detector and the client application do not send view-ack message to the group membership manager. A real-time simulation based on the TMO structuring scheme is conducted to study its performance for both the proposed approach and the group management scheme which receives view-ack messages. Simulation results show that with a proper value of the official release time interval, our approach improves the delay in completing the group view change event.

关键词： Computational modeling Delay effects Discrete event simulation distributed computing Fault detection Fault tolerance Fault tolerant systems Joining processes Multicast protocols Real time systems

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Full-rate distributed space-time coding for bi-directional cooperative communications

Full-rate distributed space-time coding for bi-directional c...

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IEEE 5th international symposium on Wireless Pervasive computing 2010, ISWPC 2010

作者： Phan, Hoc Duong, Trung Q. Zepernick, Hans-Jürgen Blekinge Institute of Technology SE-372 25 Ronneby Sweden

ISBN: (纸本)9781424468584

In this paper, a protocol for bi-directional cooperative communications applying full-rate distributed space-time codes and physical network coding is proposed. this scheme uses L relays to transmit the codewords in a distributed fashion. It takes 3 time slots for two sources to transmit two corresponding codewords by exploiting physical network coding and selfinterference cancelation at each source. We prove that this scheme obtains full diversity. the analytical results show that the diversity order of this scheme will be L + 1, where L is the number of relays. In addition, we assess the sum-rate of the bi-directional cooperative communication scheme and reveal that it achieves larger spectral efficiency compared to one-way cooperative communication scheme. We employ Monte Carlo simulations to validate the symbol error rate and the ergodic sum-rate of the scheme. ©2010 IEEE.

关键词： Cooperative communication

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Algorithms and Architectures for parallel Processing 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Shadi Ibrahim Kim-Kwang Raymond Choo Zheng Yan Witold Pedrycz

ISBN: (数字)9783319654829

ISBN: (纸本)9783319654812

this book constitutes the proceedings of the 17th international Conference on Algorithms and Architectures for parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017.;the 25 full papers presented were carefully reviewed and selected from 117 submissions. they cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation.;this volume also includes 41 papers of four workshops, namely: the 4th international Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th international Workshop on parallelism in Bioinformatics (PBio 2017);, the First international Workshop on distributed Autonomous computing in Smart City (DACSC 2017), and the Second international Workshop on Ultrascale computing for Early Researchers (UCER 2017).

关键词： Algorithm Analysis and Problem Complexity Software Engineering Computer Communication Networks Information Systems Applications (incl. Internet)

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SNTA'22: the 5thWorkshop on Systems and Network Telemetry and Analytics 22

SNTA'22: The 5thWorkshop on Systems and Network Telemetry an...

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31st international symposium on High-Performance parallel and distributed computing (HPDC)

作者： Kim, Jinoh Cafaro, Massimo Chou, Jerry Sim, Alex Texas A&M Univ Commerce TX 75428 USA Univ Salento Lecce LE Italy Natl Tsing Hua Univ Hsinchu Taiwan Lawrence Berkeley Natl Lab Berkeley CA USA

ISBN: (纸本)9781450391993

HPC and distributed systems are the driving force for the advancement of many emerging technologies, such as exascale systems, quantum machines, terabit networking, 5G/6G wireless, and cloud/edge computing. the tasks of systems and network telemetry are a key element for effective operations and management of the advancement of many emerging systems and technologies, and require more scalable telemetry and analysis techniques for comprehensive monitoring and analysis. Various input sources such as end systems, switches, firewalls, intrusion sensors and the emerging network elements speaking with different syntax and semantics make organizing and incorporating the generated data challenging for the quantitative and qualitative analysis. this workshop looks for new approaches and methods at the intersection of HPC systems and data sciences to address these difficult challenges of emerging technologies from the diverse angles of systems/network performance, availability, reliability, and security.

关键词： distributed computing methodologies parallel computing methodologies intrusion/anomaly detection and malware mitigation network security network performance evaluation

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High-level dataflow programming for reconfigurable computing 26

High-level dataflow programming for reconfigurable computing

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26th IEEE international symposium on Computer Architecture and High Performance computing Workshops, SBAC-PADW 2014

作者： Sérot, J. Berry, F. Institut Pascal Université Blaise Pascal / CNRS Clermont-Ferrand France

ISBN: (纸本)9781479970148

In many application domains, FPGAS are now promoted as a way of getting round the restrictions of specific CPU designs on system scalability. However, in the current state-of-the art, programming FPGAS remains essentially a hardware-oriented activity, relying on dedicated hardware description languages such as VHDL or Verilog. Using these languages requires expertise in digital design and in practice this limits the applicability of FPGA-based solutions. this is particulary true for stream-processing applications, in which some processing must be carried out "on the fly" on digital data streams. In this context, the dataflow programming model offers a very effective way to reduce the gap between high-level formulations and low-level implementations. To support this claim, the authors have recently introduced CAPH, a domain specific language, offering a fully-automated compilation path from high-level dataflow descriptions to FPGA configuration for stream-processing applications. this paper is a introduction to the CAPH language, giving its motivations and main design principles and exposing the basic features of its syntax, semantics and compilation. It also points to experimental results showing that, at least for stream-processing applications, the dataflow model of computation, used jointly as a programming model and an execution model, can offer a very effective way to conciliate abstraction and efficiency when programming FPGAS. © 2014 IEEE.

关键词： Computer hardware description languages

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An asynchronous P system using branch and bound for the satisfiability problem 5

An asynchronous P system using branch and bound for the sati...

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5th international symposium on computing and Networking (CANDAR)

作者： Jimen, Yuki Fujiwara, Akihiro Kyushu Inst Technol Grad Sch Comp Sci & Syst Engn Iizuka Fukuoka 8208502 Japan

ISBN: (纸本)9781538620878

Membrane computing, which is a computational model based on cell activity, has considerable attention as one of new paradigms of computations. In the general membrane computing, computationally hard problems have been solved in a polynomial number of steps using an exponential number of membranes. However, reduction of the number of membranes must be considered to make P system more realistic model. In the paper, we propose an asynchronous P system using branch and bound, which is a well known optimization technique, to reduce the number of membranes. the proposed P system solves the satisfiability problem (SAT) with n variables and m clauses, and works in O(m2(n)) sequential steps or O(mn) parallel steps. the number of membranes used in the proposed P system is evaluated using a computational simulation. the experimental result shows the effectiveness of the proposed P system.

关键词： Biomembranes Computational modeling parallel processing Evolution (biology) Standards Optimization Computational modeling Membrane, biological parallel PROCESSING (COMPUTERS) P Blood-Group System branches Computational Molecular Biology membrane computability Phosphorus Asynchronous

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Source-level transformation framework for RPC-based distributed programs

Source-level transformation framework for RPC-based distribu...

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Proceedings of the 1996 5th IEEE international symposium on High Performance distributed computing

作者： Kim, Tae-Hyung Purtilo, James M. Univ of Maryland College Park United States

the remote procedure call (RPC) paradigm has been a favorite of programmers who write distributed programs because RPC uses a familiar procedure call abstraction as the sole mechanism of remote operation. the abstraction helps to simplify programming tasks, but this does not mean that the resulting program's RPC-based flow of control will be anything close to ideal for high performance. the purpose of our research is to provide a source-level transformation framework as an alternative way to implement an RPC-based distributed program, so that the code can be optimized through program analysis techniques.

关键词： Computer software

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Efficient Data-parallel Continual Learning with Asynchronous distributed Rehearsal Buffers 24

Efficient Data-Parallel Continual Learning with Asynchronous...

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24th IEEE/ACM international symposium on Cluster, Cloud, and Internet computing (CCGrid)

作者： Bouvier, thomas Nicolae, Bogdan Chaugier, Hugo Costan, Alexandru Foster, Ian Antoniu, Gabriel Univ Rennes IRISA CNRS Inria Rennes France Argonne Natl Lab Lemont IL USA

ISBN: (纸本)9798350395679;9798350395662

Deep learning has emerged as a powerful method for extracting valuable information from large volumes of data. However, when new training data arrives continuously (i.e., is not fully available from the beginning), incremental training suffers from catastrophic forgetting (i.e., new patterns are reinforced at the expense of previously acquired knowledge). Training from scratch each time new training data becomes available would result in extremely long training times and massive data accumulation. Rehearsal-based continual learning has shown promise for addressing the catastrophic forgetting challenge, but research to date has not addressed performance and scalability. To fill this gap, we propose an approach based on a distributed rehearsal buffer that efficiently complements data-parallel training on multiple GPUs, allowing us to achieve short runtime and scalability while retaining high accuracy. It leverages a set of buffers (local to each GPU) and uses several asynchronous techniques for updating these local buffers in an embarrassingly parallel fashion, all while handling the communication overheads necessary to augment input mini-batches (groups of training samples fed to the model) using unbiased, global sampling. In this paper we explore the benefits of this approach for classification models. We run extensive experiments on up to 128 GPUs of the thetaGPU supercomputer to compare our approach with baselines representative of training-from-scratch (the upper bound in terms of accuracy) and incremental training (the lower bound). Results show that rehearsal-based continual learning achieves a top-5 classification accuracy close to the upper bound, while simultaneously exhibiting a runtime close to the lower bound.

关键词： continual learning data-parallel training experience replay distributed rehearsal buffers asynchronous data management scalability

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Streaming Ultra High Resolution Images to Large Tiled Display at Nearly Interactive Frame Rate with vl3 5

Streaming Ultra High Resolution Images to Large Tiled Displa...

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IEEE 5th symposium on Large Data Analysis and Visualization (LDAV)

作者： Jiang, Jie Hereld, Mark Insley, Joseph Papka, Michael E. Rizzi, Silvio Uram, thomas Vishwanath, Venkatram Univ Illinois Chicago IL 60607 USA Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ De Kalb IL USA

ISBN: (纸本)9781467385176

Visualization of large-scale simulations running on supercomputers requires ultra-high resolution images to capture important features in the data. In this work, we present a system for streaming ultra-high resolution images from a visualization cluster to a remote tiled display at nearly interactive frame rates. vl3, a modular framework for large scale data visualization and analysis, provides the backbone of our implementation. With this system we are able to stream over the network volume renderings of a 2048(3) voxel dataset at a resolution of 6144x3072 pixels with a frame rate of approximately 3.3 frames per second.

关键词： I.3.1 [computing Methodologies]: Computer Graphics ??? Hardware Architecture: parallel Processing I.3.2 [computing Methodologies]: Computer Graphics ??? Graphics Systems: distributed/network graphic Frame Rate image resolution Streaming Resolving power supercomputer Visualization Interactive images pixel Frame High definition

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