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2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12

作者： Kim, Changkyu Park, Jongsoo Satish, Nadathur Lee, Hongrae Dubey, Pradeep Chhugani, Jatin Parallel Computing Lab. Intel Labs. Santa Clara CA United States Structured Data Group Google Research Mountain View United States

ISBN: (纸本)9781450312479

Sorting is a fundamental kernel used in many database operations. The total memory available across cloud computers is now sufficient to store even hundreds of terabytes of data in-memory. Applications requiring high-speed data analysis typically use in-memory sorting. The two most important factors in designing a high-speed in-memory sorting system are the single-node sorting performance and inter-node communication. In this paper, we present CloudRAMSort, a fast and efficient system for large-scale distributed sorting on shared-nothing clusters. CloudRAMSort performs multi-node optimizations by carefully overlapping computation with inter-node communication. The system uses a dynamic multi-stage random sampling approach for improved load-balancing between nodes. CloudRAMSort maximizes per-node efficiency by exploiting modern architectural features such as multiple cores and SIMD (Single-Instruction Multiple Data) units. This holistic combination results in the highest performing sorting performance on distributed shared-nothing platforms. CloudRAMSort sorts 1 Terabyte (TB) of data in 4.6 seconds on a 256-node Xeon X5680 cluster called the Intel Endeavor system. CloudRAMSort also performs well on heavily skewed input distributions, sorting 1 TB of data generated using Zipf distribution in less than 5 seconds. We also provide a detailed analytical model that accurately projects (within avg. 7%) the performance of CloudRAMSort with varying tuple sizes and interconnect bandwidths. Our analytical model serves as a useful tool to analyze performance bottlenecks on current systems and project performance with future architectural advances. With architectural trends of increasing number of cores, bandwidth, SIMD width, cache-sizes, and interconnect bandwidth, we believe CloudRAMSort would be the system of choice for distributed sorting of large-scale in-memory data of current and future systems. © 2012 ACM.

关键词： Sorting

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Models of parallel computation :a survey and classification

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中国高等学校学术文摘·计算机科学 2007年第2期1卷 156-165页

作者： ZHANG Yunquan CHEN Guoliang SUN Guangzhong MIAO Qiankun Laboratory of Parallel Computing Institute of SoftwareChinese Academy of SciencesBeijing 100080China State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100080China Anhui Province-MOST Key Co-Lab of High Performance Computing and Its Applications Department of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefei 230027China

In this paper,the state-of-the-art parallel computational model research is *** will introduce various models that were developed during the past *** to their targeting architecture features,especially memory organization,we classify these parallel computational models into three *** models and their characteristics are discussed based on three generations *** believe that with the ever increasing speed gap between the CPU and memory systems,incorporating non-uniform memory hierarchy into computational models will become *** the emergence of multi-core CPUs,the parallelism hierarchy of current computing platforms becomes more and more *** this complicated parallelism hierarchy in future computational models becomes more and more important.A semi-automatic toolkit that can extract model parameters and their values on real computers can reduce the model analysis complexity,thus allowing more complicated models with more parameters to be *** memory and hierarchical parallelism will be two very important features that should be considered in future model design and research.

关键词： parallel computational models hierarchicalmemory hierarchical parallelism three generations memorymodel

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Using the parallel Research Kernels to Study PGAS Models

Using the Parallel Research Kernels to Study PGAS Models

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International Conference on Partitioned Global Address Space Programming Models (PGAS)

作者： Rob F. Van Der Wijngaart Srinivas Sridharan Abdullah Kayi Gabriele Jost Jeff R. Hammond Timothy G. Mattson Jacob E. Nelson University of Washington Seattle WA US Intel Corp. Parallel Computing Lab USA Intel Corp. Parallel Computing Lab University of Washington

A subset of the parallel Research Kernels (PRK),simplified parallel application patterns, are used to study the behavior of different runtimes implementing the PGAS programming model. The goal of this paper is to show that such an approach is practical and effective as we approach the exascale era. Our experimental results indicate that forthe kernels we selected, MPI with two-sided communications outperforms the PGAS runtimes SHMEM, UPC, Grappa, and MPI-3 with RMA extensions.

关键词： Kernel Runtime Synchronization Electronics packaging Programming Bandwidth Protocols

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Full correlation matrix analysis of fMRI data on Intel Xeon Phi coprocessors

Full correlation matrix analysis of fMRI data on Intel Xeon ...

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International Conference for High Performance computing, Networking, Storage and Analysis, SC 2015

作者： Wang, Yida Anderson, Michael J. Cohen, Jonathan D. Heinecke, Alexander Li, Kai Satish, Nadathur Sundaram, Narayanan Turk-Browne, Nicholas B. Willke, Theodore L. Department of Computer Science Princeton University United States Parallel Computing Lab Intel Corporation United States Princeton Neuroscience Institute Princeton University United States

ISBN: (纸本)9781450337236

Full correlation matrix analysis (FCMA) is an unbiased approach for exhaustively studying interactions among brain regions in functional magnetic resonance imaging (fMRI) data from human participants. In order to answer neuroscientific questions efficiently, we are developing a closed-loop analysis system with FCMA on a cluster of nodes with Intel Xeon Phi coprocessors. Here we propose several ideas for data-driven algorithmic modification to improve the performance on the coprocessor. Our experiments with real datasets show that the optimized single-node code runs 5x-16x faster than the baseline implementation using the well-known Intel MKL and LibSVM libraries, and that the cluster implementation achieves near linear speedup on 5760 cores. © 2015 ACM.

关键词： Coprocessor

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Study on parallel computing

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Journal of Computer Science & Technology 2006年第5期21卷 665-673页

作者：陈国良孙广中张云泉莫则尧 Anhui Province-MOST Key Co-Lab of High Performance Computing and Its Applications Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 P.R. China Laboratory of Parallel Computing Institute of Software Chinese Academy of Sciences Beijing 100080 P.R. China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing 100088 P.R. China

In this paper, we present a general survey on parallel computing. The main contents include parallel computer system which is the hardware platform of parallel computing, parallel algorithm which is the theoretical base of parallel computing, parallel programming which is the software support of parallel computing. After that, we also introduce some parallel applications and enabling technologies. We argue that parallel computing research should form an integrated methodology of ＂architecture algorithm programming application＂. Only in this way, parallel computing research becomes continuous development and more realistic.

关键词： parallel computing parallel architecture parallel programming parallel algorithm parallel application

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Enhancing Trust Management in Cloud Environment

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Procedia - Social and Behavioral Sciences 2014年 129卷 314-321页

作者： Soon-Keow Chong Jemal Abawajy Masitah Ahmad Isredza Rahmi A. Hamid Parallel and Distributed Computing Lab School of Information Technology Deakin University Victoria 3217 Australia

Trust management has been identified as vital component for establishing and maintaining successful relational exchanges between e-commerce trading partners in cloud environment. In this highly competitive and distributed service environment, the assurances are insufficient for the consumers to identify the dependable and trustworthy Cloud providers. Due to these limitations, potential consumers are not sure whether they can trust the Cloud providers in offering dependable services. In this paper, we propose a multi-faceted trust management system architecture for cloud computing marketplaces, to support customers in identifying trustworthy cloud providers. This paper presents the important threats to a trust system and proposed a method for tackling these threats. It described the desired feature of a trust management system. It security components to determine the trustworthiness of e- commerce participants to helps online customers to decide whether or not to proceed with a transaction. Based on this framework, we proposed an approach for filtering out malicious feedbacks and a trust metric to evaluate the trustworthiness of service provider. Results of various simulation experiments show that the proposed multi-attribute trust management system can be highly effective in identifying risky transaction in electronic market places.

关键词： E-Commerce cloud Reputation Unfair Rating Trust Management.

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Profiling Phishing Email Based on Clustering Approach

Profiling Phishing Email Based on Clustering Approach

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Isredza Rahmi A. Hamid Jemal H. Abawajy Parallel and Distributed Computing Lab Deakin University Victoria Australia

In this paper, an approach for profiling email-born phishing activities is proposed. Profiling phishing activities are useful in determining the activity of an individual or a particular group of phishers. By generating profiles, phishing activities can be well understood and observed. Typically, work in the area of phishing is intended at detection of phishing emails, whereas we concentrate on profiling the phishing email. We formulate the profiling problem as a clustering problem using the various features in the phishing emails as feature vectors. Further, we generate profiles based on clustering predictions. These predictions are further utilized to generate complete profiles of these emails. The performance of the clustering algorithms at the earlier stage is crucial for the effectiveness of this model. We carried out an experimental evaluation to determine the performance of many classification algorithms by incorporating clustering approach in our model. Our proposed profiling email-born phishing algorithm (ProEP) demonstrates promising results with the RatioSize rules for selecting the optimal number of clusters.

关键词： Electronic mail Clustering algorithms Classification algorithms Data models Feature extraction Prediction algorithms Computational modeling

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A control architecture for managing instructions among partitions of a data parallel structure

A control architecture for managing instructions among parti...

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1995 Euromicro Workshop on parallel and Distributed Processing

作者： Cremonesi, Paolo Sorrenti, Domenico Parallel Computing Lab Italy Artificial Intelligence and Robotics Lab Dipartimento di Elettronica e Informazione Politecnico di Milano Piazza Leónardo da Vinci 32 Milano120133 Italy

ISBN: (纸本)0818670312

The problem considered in this paper is the definition and evaluation of control strategies for handling image features spanning over several partitions of a parallel data structure, whenever such partitions are assigned to different nodes of a distributed-memory MIMD parallel machine. The solutions proposed are based on a tree structure of MANAGER processes, which handle communication of information between WORKER processes operating upon the parallel data structure in a distributed way, so avoiding the need of a centralized controller. Even if the structure is not tailored to a particular data parallel algorithm, it will be here be applied - as an example - to a parallel image processing algorithm for edge detection. © 1995 IEEE.

关键词： Edge detection

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A Multilevel Trust Management Framework for Service Oriented Environment

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Procedia - Social and Behavioral Sciences 2014年 129卷 396-405页

作者： Soon-Keow Chong Jemal Abawajy Isredza Rahmi A. Hamid Masitah Ahmad Parallel and Distributed Computing Lab School of Information Technology Deakin University Victoria 3217 Australia

In service-oriented computing applications, trust management systems are emerging as a promising technology to improve the e-commerce consumers and provider's relationship. Both consumers and providers need to evaluate the trust levels of potential partners before engaging in interactions. The accuracy of trust evaluation greatly affects the success rate of the interaction. This paper addresses the threats and challenges that can compromise the reliability of the current trust management system. This paper studies and examines the importance of the trust factors of the trust management framework, specifically in dealing with malicious feedback ratings from e-commerce users. To improve the reliability of the trust management systems, an approach that addresses feedback-related vulnerabilities is paramount. A multilevel trust management system computes trust by combining different types of information. Using this combination, we introduce a multilevel framework for a new interactive trust management to improve the correctness in estimate of trust information.

关键词： E-Commerce Filtering Malicious Trust Rating Trust Management

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Service Level Agreements for the Digital Library

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Procedia - Social and Behavioral Sciences 2014年 147卷 237-243页

作者： Masitah Ahmad Jemal H. Abawajy Parallel and Distributed Computing Lab Scholl of Information Technology Deakin University 3216 Victoria Australia

Digital libraries offer a massive set of digital services to geographically distributed library patrons. The digital services are commonly sourced from third-party service providers for charge. As externally sourced digital services are becoming prevalence, issues regarding their quality assessment are gaining critical importance. Unfortunately, sourcing digital services from external providers has brought with it stringent quality of service (QoS) demand from the library service users. Currently, there is no way for ensuring QoS between the digital service providers and the library management. In this paper, we propose service level agreements (SLAs) to capture the QoS requirements of the digital service users and the commitments, as well as adherence of the digital service providers.

关键词： SLAs Quality of Service Digital Library Third-party Sourced Services

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