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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Vignesh Adhinarayanan Wu-Chun Feng Department of Computer Science NSF Center for High-Performance Reconfigurable Computing Blacksburg Virginia U.S.A. Department of Electrical & Computer Engineering NSF Center for High-Performance Reconfigurable Computing Blacksburg Virginia U.S.A.

Wideband channelization is a computationally intensive task within software-defined radio (SDR). To support this task, the underlying hardware should provide high performance and allow flexible implementations. Traditional solutions use field-programmable gate arrays (FPGAs) to satisfy these requirements. While FPGAs allow for flexible implementations, realizing a FPGA implementation is a difficult and time-consuming process. On the other hand, multicore processors while more programmable, fail to satisfy performance requirements. Graphics processing units (GPUs) overcome the above limitations. However, traditional GPUs are power-hungry and can consume as much as 350 watts, making them ill-suited for many SDR environments, particularly those that are battery-powered. Here we explore the viability of low-power mobile graphics processors to simultaneously overcome the limitations of performance, flexibility, and power. Via execution profiling and performance analysis, we identify major bottlenecks in mapping the wideband channelization algorithm onto these devices and adopt several optimization techniques to achieve multiplicative speed-up over a multithreaded implementation. Overall, our approach delivers a speedup of up to 43-fold on the discrete AMD Radeon HD 6470M GPU and 27-fold on the integrated AMD Radeon HD 6480G GPU, when compared to a vectorized and multithreaded version running on the AMD A4-3300M CPU.

关键词： Graphics processing units Finite impulse response filters Wideband Acceleration Optimization Instruction sets Mobile communication

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Implementation of an RFID-based biological sample identification and tracking system

Implementation of an RFID-based biological sample identifica...

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2011 2nd IEEE RFID Technologies and Applications Conference, RFID-TA 2011, Collocated with the 2011 IEEE MTT-S International Microwave Workshop Series on Millimeter Wave Integration Technologies, IMWS 2011

作者： Zarabzadeh, Atieh Hayati, Farzad Watson, R. William G. Bradley, Geoff Grimson, Jane Centre for Health Informatics Department of Computer Science Trinity College Dublin Ireland Department of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom UCD School of Medicine and Medical Science UCD Conway Institute of Biomolecular and Biomedical Research University College Dublin Ireland Trinity Centre for High Performance Computing Trinity College Dublin Ireland

ISBN: (纸本)9781457700279

Collection, processing, storage and maintenance of samples to facilitate long-term cohort studies in biobanks, requires a system to manage samples in an effective way to prevent sample mix up and loss. Sample identification and tracking system aims to reserve data on the samples at all the times, hence RFID technology is employed. This technology allows information to be stored on the tags attached to tubes containing samples. A system is proposed, designed and prototype in the Prostate Cancer Research Consortium biobank. © 2011 IEEE.

关键词： Radio frequency identification (RFID)

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Fine-Grained Probability Counting: Refined LogLog Algorithm

Fine-Grained Probability Counting: Refined LogLog Algorithm

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International Conference on Big Data and Smart computing (BIGCOMP)

作者： Lun Wang Zekun Cai Hao Wang Jie Jiang Tong Yang Bin Cui Xiaoming Li Department of Computer Science and Engineering Peking University China Collaborative Innovation Center of High Performance Computing NUDT China

ISBN: (纸本)9781538636503

Estimating the number of distinct flows, also called the cardinality, is an important issue in many network applications, such as traffic measurement, anomaly detection, etc. The challenging problem is that a high accuracy should be achieved with line speed and small auxiliary memory. The state-of-the-art, LogLog algorithm, uses loglogN max memory, where N max is the priori upper bound for cardinality, and achieves an accuracy of the order of 1/√d, where d is the number of counters. In this paper, we propose a refined version of LogLog algorithm, namely Refined LogLog. It achieves a much better accuracy than the original LogLog algorithm by using more fine-grained common ratios. The algorithm is validated by a detailed analysis. A self-adaptive version, Self-Adaptive LogLog, is also proposed based on Refined LogLog, to adapt to cardinalities of different scales automatically. Our experimental results show that Refined LogLog outperforms LogLog in accuracy by up to 67.0%, and reduces the standard deviation by up to 60.8%.

关键词： Frequency modulation Estimation Memory management Standards Upper bound Approximation algorithms Probabilistic logic

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Optical microring resonators in lithium niobate for classical and quantum microwave photonics

Optical microring resonators in lithium niobate for classica...

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IEEE/LEOS International Conference on Optical MEMS

作者： Deng Jun Sajid Hussian Soham Saha Ching Eng Png Mankei Tsang Aaron J. Danner Department of Electrical and Computer Engineering National University of Singapore Singapore Agency for Science Institute of High Performance Computing Singapore

A microring resonator was fabricated in LiNbO 3 substrate by annealed proton exchange (APE) method. Measurement results show that thermal annealing is necessary to improve the performance of the channel waveguides. The measured extinction ratio is approximately 13dB. By making use of Cr film as electrodes, a tunability of 2 pm/V is obtained by applying 150V.

关键词： Optical ring resonators Lithium niobate Annealing Optical device fabrication Electrooptical waveguides

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An efficient group communication architecture over ATM networks

An efficient group communication architecture over ATM netwo...

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Heterogeneous computing Workshop

作者： Sung-Yong Park Joohan Lee S. Hariri High Performance Distributed Computing Laboratory Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY USA

NYNET (ATM wide-area network testbed in New York state) Communication System (NCS) is a multithreaded message-passing tool developed at Syracuse University that provides low-latency and high-throughput communication services over Asynchronous Transfer Mode (ATM)-based high-performance distributed computing (HPDC) environments. NCS provides flexible and scalable group communication services based on dynamic grouping and tree-based multicasting. The NCS architecture, which separates the data and control functions, allows group operations to be implemented efficiently by utilizing the control connections when transferring status information (e.g. topology information, routing information). Furthermore, NCS provides several different algorithms for group communication and allows programmers to select an appropriate algorithm at runtime. The authors overview the general architecture of NCS and present the multicasting services provided by NCS. They analyze and compare the performance of NCS with that of other message-passing tools such as p4, PVM, and MPI in terms of primitive performance and performance.

关键词： Asynchronous transfer mode computer architecture Communication system control Multicast algorithms System testing Distributed computing Topology Routing Programming profession Runtime

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Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems

Incorporate Proactive Data Protection in ZFS Towards Reliabl...

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IEEE International Symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Zhi Qiao Jacob Hochstetler Shuwen Liang Song Fu Hsing-bung Chen Bradley Settlemyer Department of Computer Science and Engineering University of North Texas High Performance Computing Division Los Alamos National Laboratory

ISBN: (纸本)9781538675199

Disk drive failure related data lost remains a major threat to storage system reliability. Current counter-measurement all focused on reactive data protection, such as using RAID or erasure coding to reconstruct data after failure occurs. We argue that post-failure recovery will not scalable when the storage demand keep increase. In this paper, we present a proactive data protection (PDP) framework within the ZFS file system to rescue data from disks before actual failure onset. By reducing the risk of data loss and mitigating the prolonged disk rebuilds caused by disk failures, PDP is designed to enhance the overall storage reliability. We extensively evaluate the recovery performance of ZFS with diverse configurations, and further explore disk failure prediction techniques to develop a proactive data protection mechanism in ZFS. We further compare the performance of different data protection strategies, including post-failure disk recovery, proactive disk cloning, and proactive data recovery. We propose an analytic model that uses storage utilization and contextual system information to select the best data protection strategy that can save up to 70% of data rescue time.

关键词： Data protection Reliability Disk drives Arrays Random access memory Throughput Software

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Two-level preconditioning techniques for electromagnetic wave scattering problems

Two-level preconditioning techniques for electromagnetic wav...

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2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics

作者： Lee, Jeonghwa Zhang, Jun Lu, Cai-Cheng RAPT Industries Inc. 183 Northpointe Blvd. Freeport PA 16229 United States Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky Lexington KY 40506 United States Department of Electrical and Computer Engineering University of Kentucky Lexington KY40506 United States

ISBN: (纸本)0780390687

We investigate preconditioned iterative solutions of large dense complex valued matrices arising from discretizing the hybrid integral equations of electromagnetic scattering. Due to the specific data pattern, we propose to construct two-level (TL) preconditioners to treat the conducting and dielectric parts more efficiently. The main purpose of this study is to show that the TL preconditioning is effective with the MLFMA and can reduce the number of Krylov iterations substantially by using subdivided domain of the near part matrix for each level. Our experimental results indicate that the TL preconditioning maintains the computational complexity of the MLFMA, but converges much faster, thus effectively reduces the overall simulation time for the coated material objects. © 2005 ACES.

关键词： Iterative methods

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Implementation and evaluation of a Java based computational grid for bioinformatics applications

Implementation and evaluation of a Java based computational ...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Chao-Tung Yang Yi-Chun Hsiung Heng-Chuan Kan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Biotechnology Group South Region Office National Center of High-performance Computing Tainan Taiwan

ISBN: (纸本)0769522491

In the present study, THUBioGrid, an experimental distributed computing application for bioinformatics (BioGrid) is proposed. THUBioGrid incorporates directory services (data and software), grid computing methods (security, authentication, data transport and remote jobs), and gene sequence/genomic data processing methods. It uses Java CoG Kit plus bioinformatics Java packages to perform various computational tasks. The performance of THUBioGrid has been tested by executing the FASTA and mpiBLAST programs for protein sequence alignment applications. Results demonstrate the speed-up effects with increasing number of processors used in the computations.

关键词： Java Grid computing Bioinformatics Application software Distributed computing Data security Authentication Genomics Data processing Packaging

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A Carbon 2.0 Framework Based on Cloud computing

A Carbon 2.0 Framework Based on Cloud Computing

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International Conference on computer and Information science (ACIS)

作者： Jiandun Li Wu Zhang Junjie Peng Zhou Lei Yu Lei School of Computer Engineering & Science High Performance Computing Center Shanghai University Shanghai China Department of Computer Science & Engineering University of Texas Arlington Arlington USA

The Copenhagen climate conference 2009 has concluded that we have to change the way how we live. Currently, several carbon management systems are being developed to meet enterprises' requirement. In addition, a number of carbon footprint calculation tools have been developed to fulfill carbon calculation needs from industries, households and individuals. However, under the current circumstance, it is still a challenging issue on how to take advantage of the latest IT technologies to improve carbon calculations with comprehensive functionality. In this paper, we extend carbon 2.0, the concept proposed by previous studies, and introduce a new carbon framework based on cloud computing. This new framework is massively scalable and can configure and deliver carbon-related services dynamically and on demand. Moreover, it is a real low-carbon framework itself!

关键词： Carbon Carbon dioxide Cloud computing Companies Decision making computer architecture

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Editorial:Special Topic on Federated Learning for IoT and Edge computing

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ZTE Communications 2022年第3期20卷 1-2页

作者： PAN Yi CUI Laizhong CAI Zhipeng LI Wei Faculty of Computer Science and Control Engineering at Shenzhen Institute of Advanced Technology Chinese Academy of SciencesChina the Academy of the United Nations Sciences and Technology Organization Ukrainian Academy of Engineering Sciences American Institute for Medical and Biological Engineering Institute of Engineering Technology the College of Computer Science and Software Engineering at Shenzhen University China Department of Computer Science and the College of Business at Georgia State University USA the Center for Distributed and High Performance Computing School of Computer ScienceThe University of Sydney the Australia-China Joint Research Center on Energy Informatics and Demand Response Technologies

Recent years have witnessed the proliferation of Internet of Things(IoT),in which billions of devices are connected to the Internet,generating an overwhelming amount of *** is challenging and infeasible to transfer an... 详细信息

关键词： cloud generating data.

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