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27th ACM International Conference on Supercomputing, ICS 2013

作者： Liu, Xing Smelyanskiy, Mikhail Chow, Edmond Dubey, Pradeep School of Computational Science and Engineering Georgia Institute of Technology Atlanta GA United States Parallel Computing Lab. Intel Corporation Santa Clara CA United States

ISBN: (纸本)9781450321303

Sparse matrix-vector multiplication (SpMV) is an important kernel in many scientific applications and is known to be memory bandwidth limited. On modern processors with wide SIMD and large numbers of cores, we identify and address several bottlenecks which may limit performance even before memory bandwidth: (a) low SIMD efficiency due to sparsity, (b) overhead due to irregular memory accesses, and (c) load-imbalance due to non-uniform matrix structures. We describe an efficient implementation of SpMV on the Intel® Xeon Phi™ Coprocessor, codenamed Knights Corner (KNC), that addresses the above challenges. Our implementation exploits the salient architectural features of KNC, such as large caches and hardware support for irregular memory accesses. By using a specialized data structure with careful load balancing, we attain performance on average close to 90% of KNC's achievable memory bandwidth on a diverse set of sparse matrices. Furthermore, we demonstrate that our implementation is 3.52x and 1.32x faster, respectively, than the best available implementations on dual Intel® Xeon™ Processor E5-2680 and the NVIDIA Tesla K20X architecture. © 2013 ACM.

关键词： Bandwidth

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Preserving Utility in Social Network Graph Anonymization

Preserving Utility in Social Network Graph Anonymization

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

作者： Mohd Izuan Hafez Ninggal Jemal H. Abawajy Parallel and Distributed Computing Lab Deakin University Victoria Australia

To protect from privacy disclosure, the social network graph is modified in order to hide the information that potentially be used to disclose person's identity. However, when the social network graph is changed, it is a great challenge to balance between the privacy gained and the loss of data utility. In this paper, we address this problem. We propose a new graph topological-based metric to improve utility preservation in social network graph anonymization. We compare the proposed approach with the amount-of-edge-change metric that popularly used in most of previous works. Experimental evaluation shows that our approach generates anonymized social network with improved utility preservation.

关键词： Social network services Measurement Privacy Communities Data privacy Computer aided software engineering Knowledge engineering

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A new energy efficient cluster-head and backup selection scheme in WSN

A new energy efficient cluster-head and backup selection sch...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Davood Izadi Jemal Abawajy Sara Ghanavati Parallel and Distributed Computing Lab School of Information Technology Deakin University Geelong Australia

Despite significant advancements in wireless sensor networks (WSNs), energy conservation remains one of the most important research challenges. Proper organization of nodes (clustering) is one of the major techniques to expand the lifespan of the whole network through aggregating data at the cluster head. The cluster head is the backbone of the entire cluster. That means if a cluster head fails to accomplish its function, the received and collected data by cluster head can be lost. Moreover, the energy consumption following direct communications from sources to base stations will be increased. In this paper, we propose a type-2 fuzzy based self-configurable cluster head selection (SCCH) approach to not only consider the selection criterion of the cluster head but also present the cluster backup approach. Thus, in case of cluster failure, the system still works in an efficient way. The novelty of this protocol is the ability of handling communication uncertainty, which is an inherent operational aspect of sensor networks. The experiment results indicate SCCH performs better than other recently developed methods.

关键词： Wireless sensor networks Protocols Fuzzy logic Base stations Fuzzy systems Uncertainty Nominations and elections

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The Challenges of Cloud Technology Adoption in E-government

The Challenges of Cloud Technology Adoption in E-government

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International Conference on Advanced Computer Science Applications and Technologies (ACSAT)

作者： Maslina Abdul Aziz Jemal Abawajy Morshed Chowdhury Parallel and Distributed Computing (PARADISE) Lab Deakin University Waurn Ponds Victoria Australia

The endless transformation of technological innovation requires greater collaboration of Information Communication and Technology (ICT) in various areas especially in public sectors. Many attempts have been made in improving the quality of E-Government services, one of it is adopting the cloud computing technology. Successful-implementation of cloud computing technology can benefit the public sector in many ways one of it is cost reduction. Most government organizations especially in the developing countries are committed in adopting the cloud technology based on the increased demands in cloud adoption in E-Government services. Unfortunately, despite all the benefits, the cloud computing technology raises some major risks. The success of implementation of cloud computing technology is determined by how well the government tackles the challenges. Therefore, this paper specifically surveyed the associated challenges of adopting Cloud Technology for E-Government by choosing Malaysia as the case study.

关键词： Cloud computing Electronic government Information systems

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Crime Toolkits: The Productisation of Cybercrime

Crime Toolkits: The Productisation of Cybercrime

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

作者： Ammar Alazab Jemal Abawajy Michael Hobbs Robert Layton Ansam Khraisat Parallel and Distributed Computing Lab Deakin University Australia Ballarat University School of information technology Ballarat Australia

ISBN: (纸本)9781479914449

The productisation of crime toolkits is happening at an ever-increasing rate. Previous attacks that required in-depth knowledge of computer systems can now be purchased online. Large scale attacks previously requiring months to set-up a botnet can now be scheduled for a small fee. Criminals are leveraging this opportunity of commercialization, by compromising web applications and user's browser, to gain advantages such as using the computer's resources for launching further attacks, or stealing data such as identifying *** toolkits are being developed to attack an increasing number of applications and can now be deployed by attackers with little technical knowledge. This paper surveys the current trends in crime toolkits, with a case study on the Zeus botnet. We profile the types of exploits that malicious writers prefer, with a view to predicting future attack trends. We find that the scope for damage is increasing, particularly as specialisation and scale increase in cybercrime.

关键词： Malware Computers Servers Browsers Software Electronic mail

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Data structure and movement for lattice-based simulations

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Physical Review E 2013年第1期88卷 013314-013314页

作者： Aniruddha G. Shet Shahajhan H. Sorathiya Siddharth Krithivasan Anand M. Deshpande Bharat Kaul Sunil D. Sherlekar Santosh Ansumali Parallel Computing Lab Intel Labs Bangalore 560103 India Engineering Mechanics Unit Jawaharlal Nehru Centre for Advanced Scientific Research Jakkur Bangalore 560064 India

We show that for the lattice Boltzmann model, the existing paradigm in computer science for the choice of the data structure is suboptimal. In this paper we use the requirements of physical symmetry necessary for recovering hydrodynamics in the lattice Boltzmann description to propose a hybrid data layout for the method. This hybrid data structure, which we call a structure of an array of structures, is shown to be optimal for the lattice Boltzmann model. Finally, the possible advantages of establishing a connection between group theoretic symmetry requirements and the construction of the data structure is discussed in the broader context of grid-based methods.

关键词： DATA structures (Computer science) LATTICE theory SIMULATION methods & models LATTICE Boltzmann methods HYDRODYNAMICS COMPUTATIONAL grids (Computer systems)

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Multi-label Classification with Clustering for Image and Text Categorization

Multi-label Classification with Clustering for Image and Tex...

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International Congress on Image and Signal Processing

作者： Gulisong Nasierding Atul Sajjanhar School of Computer Science and Technology Xinjiang Normal University Parallel and Distributed Computing Lab School of Information Technology Deakin University

ISBN: (纸本)9781479927654

This paper explores effective multi-label classification methods for multi-semantic image and text categorization. We perform an experimental study of clustering based multi-label classification (CBMLC) for the target problem. Experimental evaluation is conducted for identifying the impact of different clustering algorithms and base classifiers on the predictive performance and efficiency of CBMLC. In the experimental setting, three widely used clustering algorithms and six popular multi-label classification algorithms are used and evaluated on multi-label image and text datasets. A multi-label classification evaluation metrics, micro F1-measure, is used for presenting predictive performances of the classifications. Experimental evaluation results reveal that clustering based multi-label learning algorithms are more effective compared to their non-clustering counterparts.

关键词： Multi-label classification Clustering Image and text categorization

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User clients for working with medical images in Ukrainian Grid infrastructure

User clients for working with medical images in Ukrainian Gr...

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2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced computing Systems, IDAACS 2013

作者： Sudakov, Oleksandr Kononov, Mikhail Sliusar, Ievgen Salnikov, Andrii Department of Parallel Computing Lab University of Kyiv 64/13 Volodymyrska Str. Kyiv 01601 Ukraine Medical Radiophysics Dept. National Taras Shevchenko University of Kyiv 64/13 Volodymyrska Str. Kyiv 01601 Ukraine Engineer of ICC National Taras Shevchenko University of Kyiv 64/13 Volodymyrska Str. Kyiv 01601 Ukraine

ISBN: (纸本)9781479914265

Design and application of web service and desktop user client for working with medical DICOM-images in Ukrainian Grid infrastructure are described. Web-service provides transparent replication of data in grid storage elements. Client consists of graphical front-end, network back-end and provides functions of image anonymization-deanonymization, searching, visualizing, archiving etc. Clients are easily extensible so new data transfer protocols, image procession functions, grid job submission and results retrieving may be easily integrated. Proposed clients are developed, tested and deployed in several Ukrainian institutions for testing and pre-production operation © 2013 IEEE.

关键词： Web services

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A soft real-time, parallel GUI Service in Tessellation many-core OS

A soft real-time, parallel GUI Service in Tessellation many-...

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27th International Conference on Computers and Their Applications, CATA 2012

作者： Kim, Albert Colmenares, Juan A. Alkaff, Hilfi Kubiatowicz, John Parallel Computing Lab. CS Division UC Berkeley United States

ISBN: (纸本)9781880843840

We discuss the design and implementation of a parallel GUI Service in Tessellation OS and investigate its capability to provide soft service-time guarantees to visual applications. Use of GPU bandwidth reservation permits our GUI service to miss only 0.1% of client deadlines under an overloaded scenario, while a more traditional windowing system misses over 50% of its deadlines. Further, the GUI Service's parallel architecture nicely exploits parallelism to reduce service times for client requests.

关键词： Graphical user interfaces

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CLSIFT: An Optimization Study of the Scale Invariance Feature Transform on GPUs

CLSIFT: An Optimization Study of the Scale Invariance Featur...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Weiyan Wang Yunquan Zhang Long Guoping Shengen Yan Haipeng Jia School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China State Key Laboratory of Computing Science Institute of Software Chinese Academy of Sciences Lab. of Parallel Software and Computational Science Institute of Software Chinese Academy of Sciences

Scale Invariance Feature Transform (SIFT) is quite suitable for image matching because of its invariance to image scaling, rotation and slight changes in illumination or viewpoint. However, due to high computation complexity it's technically challenging to deploy SIFT in real time application situations. To address this problem, we propose CLSIFT, an OpenCL based highly speeded up and performance portable SIFT solution. Important optimization techniques employed in CLSIFT such as: (1) For less global memory traffic, independent logical functions are merged into the same kernel to reuse data. (2) loop buffers are introduced in for data and intermediate results reusing. (3)Task queue used to schedule threads in the same branch to remove branch divergences. (4) Data partition is based on the statics patterns for workload balance among workgroups. (5) Overlap of CPU time and better parallel strategies are used too. With all mentioned efforts, CLSIFT processes lena. jpg at 74.2 FPS and 43.4FPS respectively on NVidia and AMD GPUS, much higher than CPU's nearly 10 FPS and the known fastest SIFTGPU's 39.8 FPS and 13FPS. Moreover in a quantitative comparison approach we analyze those successful strategies beating SIFTGPU, a famous existing GPU implementation. Additionally, we observe and conclude that NVidia GPU achieves better occupancy and performance due to some factors. Finally, we summarize some techniques and empirical guiding principles that may be shared by other applications on GPU.

关键词： Graphics processing units Instruction sets Kernel Accuracy Histograms Optimization Memory management

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