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Quality of Experience-Aware Event Synchronization for distributed Virtual Worlds

Quality of Experience-Aware Event Synchronization for Distri...

引用

IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Krammer, Laura Schiele, Gregor Koch, Dieter Becker, Christian Univ Mannheim D-68131 Mannheim Germany Natl Univ Ireland DERI Galway Ireland

ISBN: (纸本)9781467345651;9780769549033

distributed virtual worlds encompass a number of different possible user interactions. these are realized as interaction events that need to be reflected in all user's views in a timely and synchronous fashion. this is difficult because of two aspects: A) user requirements vary for different events and due to B) restricted system resources, mainly network delay. In this paper we present a framework that allows the processing of events using different synchronization protocols depending on the user requirements. We integrate existing protocols into the framework allowing different handling of events.

关键词： distributed virtual worlds event synchronization quality of experience User needs Quality of service network delay system resources Virtual Frameworks Distribute protocols

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GPU-accelerated Computation of 3D laser radar range imaging of arbitrary coarse targets

GPU-accelerated Computation of 3D laser radar range imaging ...

引用

IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Lin, Jiaxuan Wu, Zhensen Su, Xiang Wu, Jiaji Wang, Biao Cao, Yunhua Xidian Univ Sch Sci Xian Peoples R China Xidian Univ Inst Intelligent Informat Proc Xian Peoples R China Sci & Technol Elect Scattering Lab Shanghai Peoples R China

ISBN: (纸本)9781467345651;9780769549033

We report here a backscattering model of average signal power function (SPF) for laser radar 3D range imagery obtained by arrays of detectors for arbitrary coarse targets. the model relates the average power seen by the receiver with laser pulse, target shape, optical scattering properties of surface material, incidence angle and other factors. the optical scattering property of the material is characterized by bidirectional reflectance distribution function (BRDF). the model can be used for demonstration of 3D laser radar system and can also be used to generate library of model data sets for automatic target recognition (ATR). Finally, Compute Unified Device Architecture (CUDA) is introduced for parallelizing these algorithms. the acceleration reaches 56 times speedup on single Fermi-generation NVIDIA GTX 480 as compared to the traditional CPU version of code on Intel i7 930 CPU.

关键词： Image analysis Backscattering Lasers compute unified device architecture (CUDA) parallel computing

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Pipelined parallel LZSS for Streaming Data Compression on GPGPUs

Pipelined Parallel LZSS for Streaming Data Compression on GP...

引用

IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Ozsoy, Adnan Swany, Martin Chauhan, Arun Indiana Univ Sch Informat & Comp Bloomington IN 47405 USA

ISBN: (纸本)9781467345651;9780769549033

In this paper, we present an algorithm and provide design improvements needed to port the serial Lempel-Ziv-Storer-Szymanski (LZSS), lossless data compression algorithm, to a parallelized version suitable for general purpose graphic processor units (GPGPU), specifically for NVIDIA's CUDA Framework. the two main stages of the algorithm, substring matching and encoding, are studied in detail to fit into the GPU architecture. We conducted detailed analysis of our performance results and compared them to serial and parallel CPU implementations of LZSS algorithm. We also benchmarked our algorithm in comparison with well known, widely used programs;GZIP and ZLIB. We achieved up to 34x better throughput than the serial CPU implementation of LZSS algorithm and up to 2.21x better than the parallelized version.

关键词： Lossless data compression LZSS GPU CUDA

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parallel Processing of Massive EEG Data with MapReduce

Parallel Processing of Massive EEG Data with MapReduce

引用

IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Wang, Lizhe Chen, Dan Ranjan, Rajiv Khan, Samee U. Kolodziej, Joanna Wang, Jun Chinese Acad Sci Ctr Earth Observat & Digital Earth Beijing 100864 Peoples R China China Univ Geosciences Sch Comp Beijing Peoples R China CSIRO ICT Ctr Informat Engn lab Marshfield 2122 WI USA N Dakota State Univ Dept Elect & Comp Engn Grand Forks ND 58201 USA Univ Technol Inst Comp Sci Krakow Poland Univ Cent Florida Dept Elect Engn & Comp Sci Orlando FL 32816 USA

ISBN: (纸本)9781467345651;9780769549033

Analysis of neural signals like electroencephalogram (EEG) is one of the key technologies in detecting and diagnosing various brain disorders. As neural signals are non-stationary and non-linear in nature, it is almost impossible to understand their true physical dynamics until the recent advent of the Ensemble Empirical Mode Decomposition (EEMD) algorithm. the neural signal processing with EEMD is highly compute-intensive due to the high complexity of the EEMD algorithm. It is also data-intensive because 1) EEG signals contain massive data sets 2) EEMD has to introduce a large number of trials in processing to ensure precision. the MapReduce programming mode is a promising parallel computing paradigm for data intensive computing. To increase the efficiency and performance of the neural signal analysis, this research develops parallel EEMD neural signal processing with MapReduce. In this paper, we implement the parallel EEMD with Hadoop in a modern cyberinfrastructure. Test results and performance evaluation show that parallel EEMD can significantly improve the performance of neural signal processing.

关键词： Data-intensive computing MapReduce parallel processing parallel PROCESSING (COMPUTERS) signal processing Electroencephalography Brain Diseases Key technology MAPPING(MAthEMATICAL) Signal analysis data parallel computing data flow computing

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A Non-Intrusive Read-Copy-Update for UTS

A Non-Intrusive Read-Copy-Update for UTS

引用

IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Podzimek, Andrej Decky, Martin Bulej, Lubomir Tuma, Petr Charles Univ Prague Fac Math & Phys Dept Distributed Dependable Syst Prague Czech Republic

ISBN: (纸本)9781467345651

Read-Copy-Update (RCU) is a mechanism designed to increase the level of concurrency in readers-writer synchronization scenarios, vastly improving scalability of software running on multiprocessor machines. Most existing RCU variants have been developed for and studied within the Linux kernel. Due to strong dependency on the Linux internals, they cannot be easily transferred to other operating system kernels. this paper presents a novel non-intrusive variant of the RCU mechanism (AP-RCU), which depends only on basic kernel-level concepts while maintaining the scalability benefits. We have implemented AP-RCU in the Solaris kernel (UTS) and experimentally confirmed the expected benefits over traditional forms of synchronization, comparable with previous RCU implementations.

关键词： RCU read-copy-update UTS Solaris SMP synchronization scalability

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A distributed Sensor Data Stream Delivery System with Communication Loads Balancing for Heterogeneous Collection Cycle Requests

A Distributed Sensor Data Stream Delivery System with Commun...

引用

IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Ishi, Yoshimasa Yoshihisa, Tomoki Kawakami, Tomoya Teranishi, Yuuichi Osaka Univ Cybermedia Ctr Suita Osaka Japan

ISBN: (纸本)9781467345651;9780769549033

Due to the prevalence of sensors such as live cameras or environmental sensors, sensor data stream delivery, which requires continuous and cyclic data delivery attracts great attention. For sensor data stream delivery, various communication loads balancing techniques have been studied since the load of the sensor data source become high to accommodate large number of clients. However, these studies assume only the requests that have the same collection cycle, which is not enough for the actual applications. In this paper, we propose a sensor data stream delivery system with communication loads balancing for heterogeneous collection cycle requests. the proposed system distributes the loads by re-delivering the sensor data that are requested by other clients with different collection cycles but have common cycles.

关键词： sensor networks streaming data data collection

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Topic 8: distributed systems and Algorithms

引用

18th international conference on Euro-Par parallel Processing

作者： Goscinski, Andrzej Mavronicolas, Marios Shi, Weisong Meng, Teo Yong Topic Committee United States

ISBN: (纸本)9783642328206

the increasing significance of distributed computing becomes more and more crucial with the prevail of technological advances that make Global computing a reality in modern world. Indeed, it is hard to imagine some application or computational activity and process that falls outside distributed computing. With the large advent of distributed systems, we are faced with the real challenges of distributed computation: How do we cope with asynchrony and failures? How (and how well) do we achieve load balancing? How do we model and analyze malicious and selfish behavior? How do we address mobility, heterogeneity and the dynamic nature of participating processes? What can we achieve in the presence of disconnecting operations that cause network partitioning?

关键词： distributed computer systems

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An Enhanced Genetic Algorithm for Server Placement in distributed Interactive Applications

An Enhanced Genetic Algorithm for Server Placement in Distri...

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Zheng, Hanying Tang, Xueyan Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)9781467345651

Recent years have witnessed the enormous popularity of distributed interactive applications (DIAs), which allow participants that are distributed in the network to interact with each other concurrently. the rapid growth of DIAs has raised stringent requirements on providing realistic sense of interaction between participants, whose quality is heavily influenced by network latencies. Although network latencies cannot be eliminated due to geographical spreads of participants, it is possible to reduce them by a smart selection of the locations where the servers of the DIAs are placed. the locations of servers affect not only the inter-server latencies but also the latencies from participants to servers, both of which are involved in the interactions among participants. thus, the placement of servers is an important factor to the interactivity performance of DIAs. We formulate the server placement problem, and propose to solve it by an enhanced genetic algorithm, whose genetic operators are specially designed based on the nature of the problem. Experimental results using various datasets show that our algorithm leads to appreciable improvement of the interaction quality in DIAs.

关键词： server placement distributed interactive application network latency optimization genetic algorithm

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A Remote View System to Allow Real-Time Walkthrough

A Remote View System to Allow Real-Time Walkthrough

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Liu, Chao Watanabe, Toshiya Shibusawa, Susumu Yonekura, Tatsuhiro Ibaraki Univ Grad Sch Sci & Engn Hitachi Ibaraki Japan Ibaraki Univ Engn Coll Hitachi Ibaraki Japan

ISBN: (纸本)9781467345651;9780769549033

A remote view system is a system for the delivery and presentation of information such as video and audio to users in remote locations. Methods for the construction of virtual environments based on video information have been applied to remote view technology. When a system that supports remote viewing is applied to situations such as viewing scenery or engaging in collaborative work, it is useful to provide users with a function that enables them to walk through a virtual environment. Although walkthroughs are possible in remote view systems that use pre-prepared images to construct virtual environments, these systems are lacking in terms of their real-time performance. In this study, we built a virtual walk-through environment that allows remote viewing based on images sent in real time from an omnidirectional camera. By using an improved map projection method, the system produces less image distortion than the conventional projection method. We have confirmed the walk-through capabilities of this system, evaluated the performance of improved map projection method, and subjected it to user trials.

关键词： distributed network application remote view walkthrough image sensing multi-users omnidirectional camera panoramic image

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Accelerating Cost Aggregation for Real-Time Stereo Matching

Accelerating Cost Aggregation for Real-Time Stereo Matching

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Fang, Jianbin Varbanescu, Ana Lucia Shen, Jie Sips, Henk Saygili, Gorkem van der Maaten, Laurens Delft Univ Technol Parallel & Distributed Syst Grp Delft Netherlands Delft Univ Technol Pattern Recognit & Bioinformat Grp Delft Netherlands

ISBN: (纸本)9781467345651;9780769549033

Real-time stereo matching, which is important in many applications like self-driving cars and 3-D scene reconstruction, requires large computation capability and high memory bandwidth. the most time-consuming part of stereo-matching algorithms is the aggregation of information (i.e. costs) over local image regions. In this paper, we present a generic representation and suitable implementations for three commonly used cost aggregators on many-core processors. We perform typical optimizations on the kernels, which leads to significant performance improvement (up to two orders of magnitude). Finally, we present a performance model for the three aggregators to predict the aggregation speed for a given pair of input images on a given architecture. Experimental results validate our model with an acceptable error margin (an average of 10.4%). We conclude that GPU-like many-cores are excellent platforms for accelerating stereo matching.

关键词： Stereo Matching Cost Aggregation Performance Optimization Performance Modeling OpenCL GPUs.

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