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A parallel Co-processor Architecture for Block Cipher processing

A Parallel Co-processor Architecture for Block Cipher Proces...

引用

2007 7th international conference on ASIC Electronic Version(ASICON 2007)

作者： Xue-Rong Yu,Zi-Bin Dai,Xiao-Hui Yang Institute of Electronic Technology,Information Engineering University,Zhengzhou 450004,P.R.China

Based on analyzing the operation character of block ciphers,we set forth a solution for efficient cryptographic processing,and put forward a parallel co-processor architecture for block ciphers,which supports word and sub-word parallel processing,and its micro realization is schemed out *** design gives attention to two aspects which is flexibility and high performance,including consummate control capability,efficient operation capability,and reconfigurable cipher process ***,in synthesis,the design is fabricated on 0.18um CMOS cells through Design Compiler tool,and the performance of this co-processor is compared to other hardware/software implementation.

关键词： Block cipher,Co-processor,Data parallelism,Instruction Level parallel

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Correlation Aware Technique for SQL to NoSQL Transformation

Correlation Aware Technique for SQL to NoSQL Transformation

引用

IEEE international conference on Ubi-Media Computing

作者： Jen-Chun Hsu Ching-Hsien Hsu Shih Chang Chen Yeh Ching Chung Chung Hua University Hsinchu TW National Tsing Hua University Hsinchu Taiwan

For better efficiency of parallel and distributed computing, Apache Hadoop distributes the imported data randomly on data nodes. this mechanism provides some advantages for general data analysis. With the same concept Apache Sqoop separates each table into four parts and randomly distributes them on data nodes. However, there is still a database performance concern with this data placement mechanism. this paper proposes a Correlation Aware method on Sqoop (CA_Sqoop) to improve the data placement. By gathering related data as closer as it could be to reduce the data transformation cost on the network and improve the performance in terms of database usage. the CA_Sqoop also considers the table correlation and size for better data locality and query efficiency. Simulation results show that data locality of CA_Sqoop is two times better than that of original Apache Sqoop.

关键词： Distributed databases Correlation Cloud computing File systems Data processing Computer architecture

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Autonomous checkers robot using enhanced massive parallel game tree search

Autonomous checkers robot using enhanced massive parallel ga...

引用

the international conference on Informatics and Systems (INFOS)

作者： Ahmed A. Elnaggar Mahmoud Gadallah Mostafa Abdel Aziem Hisham Aldeeb Computer Science Department Modern Academy Maadi Cairo Egypt Computer Science Department AAST Cairo Egypt Computer Science Department MTI University Cairo Egypt

the dream of building intelligent robotic systems to interact and communicate with people and help them in their lives is a very old and ongoing study. In this research, the massive parallel autonomous checkers agent "MPACA" can autonomously play checkers with a human upto Grandmaster level without requiring a special checkers board for detecting human movements. the main aim and contribution of this research is proposing enhanced algorithms for a game tree search using two different approaches. the first was a task-based approach on CPU with a parallel database, while the second was a threads-based approach on the GPU with no divergence and dynamic parallelism. the two approaches were compared with previous studies using various approaches, including threads on CPU for up to 6× speedup for an 8-core processor and threads on GPU using iterative dependence and fixed grid and block size of up to 40× speedup at 14 depth. Furthermore, the approaches were tested with different depths on the CPU and the GPU. the result shows speed up for parallel CPU tasks up to 7× for an 8-core processor and parallel GPU of up to 80× at 14 depth.

关键词： Graphics processing units Central processing Unit Games Libraries parallel processing Robots Databases

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A Privacy and Price-Aware Inter-Cloud System

A Privacy and Price-Aware Inter-Cloud System

引用

IEEE international conference on Cloud Computing Technology and Science (CloudCom)

作者： Yuanfang Chi Wei Cai Zhen Hong Henry C. B. Chan Victor C. M. Leung Department of Electrical and Computer Engineering The University of British Columbia Canada Department of Computing The Hong Kong Polytechnic University Hong Kong

Cloud service selection and financial expense are two main concerns of users considering adoption of cloud computing services. In this paper, we propose a novel cloud federation that is cognitive to the dynamic prices. the cloud federation system first determines on which cloud services should the user applications be deployed. then, when a cloud provider is charging too high for a VM, the proposed system automatically migrates user tasks to a cloud system that is charging at a lower rate. We discuss the architectural framework and platform design, provide a mathematic formulation and investigate a total service fee minimization approach with privacy constraints. Preliminary simulation results demonstrate the proposed system can lower the cost of cloud services by exploiting the advantages of different price policies provided by multiple cloud providers.

关键词： Cloud computing Pricing parallel processing Privacy Distributed databases Data security

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Reference Point Based Multi-objective Evolutionary Algorithm for DNA Sequence Design 14th

Reference Point Based Multi-objective Evolutionary Algorithm...

引用

14th international conference on Bio-inspired Computing: theories and Applications, BIC-TA 2019

作者： Zhao, Haozhi Xu, Zhiwei Zhang, Kai School of Computer Science and Technology Wuhan University of Science and Technology WuhanHubei430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System WuhanHubei430065 China

ISBN: (纸本)9789811534140

DNA computing is a parallel computing model based on DNA molecules. High-quality DNA sequences can prevent unwanted hybridization errors in the computation process. the design of DNA molecules can be regarded as a multi-objective optimization problem, which needs to satisfy a variety of conflicting DNA encoding constraints and objectives. In this paper, a novel reference point based multi-objective optimization algorithm is proposed for designing reliable DNA sequences. In order to obtain balance Similarity and H-measure objective values, the reference point strategy is adapted to searching for idea solutions. Firstly, every individual should be assigned a rank value by the non-dominated sort algorithm. Secondly, the crowding distance is replaced by the distance to the reference point for each individual. Lastly, the proposed algorithm is compared with some state-of-the-art DNA sequence design algorithms. the experimental results show our algorithm can provide more reliability DNA sequences than existing sequence design techniques. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

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Communication-Avoiding Seismic Numerical Kernels on Multicore Processors

Communication-Avoiding Seismic Numerical Kernels on Multicor...

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IEEE international conference on High Performance Computing and Communications (HPCC)

作者： Fabrice Dupros Faiza Boulahya Hideo Aochi Philippe thierry BRGM Orléans France Intel Corporation Paris France

the finite-difference method is routinely used to simulate seismic wave propagation both in the oil and gas industry and in strong motion analysis in seismology. this numerical method also lies at the heart of a significant fraction of numerical solvers in other fields. In terms of computational efficiency, one of the main difficulties is to deal with the disadvantageous ratio between the limited pointwise computation and the intensive memory access required, leading to a memory-bound situation. Naive sequential implementations offer poor cache-reuse and achieve in general a low fraction of peak performance of the processors. the situation is worst on multicore computing nodes with several levels of memory hierarchy. In this case, each cache miss corresponds to a costly memory access. Additionally, the memory bandwidth available on multicore chips improves slowly regarding the number of computing core which induces a dramatic reduction of the expected parallel performance. In this article, we introduce a cache-efficient algorithm for stencil-based computations using a decomposition along both the space and the time directions. We report a maximum speedup of x3.59 over the standard implementation.

关键词： Multicore processing Standards Program processors Seismic waves Optimization Memory management

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On the development of mg sheets with improved formability by applying additional shear strain during processing 7th

On the development of mg sheets with improved formability by...

引用

7th international Light Metals Technology conference, LMT 2015

作者： Letzig, D. Suh, J. Bohlen, J. Yi, S. Kurz, G. Golle, R. Volk, W. Victoria-Hernandez, J. Magnesium Innovation Centre Helmholtz Zentrum Geesthacht Max-Planck Strasse 1 Geesthacht21502 Germany Institute of Metal Forming and Casting Technical University of Munich Walther-Meissner Strasse 4 Garching85748 Germany

ISBN: (纸本)9783038355625

Reducing vehicle weight and emissions by lightweight design is a major goal of the automotive industry. Magnesium as the lightest structural metal offers a significant weight saving potential compared to steel and aluminum. However, the poor formability of magnesium semi-finished products (e.g. sheets) has hindered the massive application of this metal. this poor formability arises due to the formation of strong textures. Typically the basal planes of the HCP-structure align parallel to the sheet plane. Such preferred orientation of the basal planes limits the ability of basal slip to accommodate plastic strain in the sheet plane and is thus unfavourable for ductility and formability of the sheets, especially at room temperature. A combination of new technologies could help to alleviate the strong textures formed in Mg sheets. In this regard the utilization of twin-roll casting (TRC) in combination with processing techniques which apply additional shear strain such as differential speed rolling (DSR) and/or equal channel angular pressing (ECAP) could refine the microstructure and modify the resulting deformation texture. In this study an AZ31 strip (3Al-1Zn-Mg Bal. wt. %) produced by TRC was hot rolled at 400 °C using a rolling speed of 10 m/min. A speed ratio of 10% between rolls was used. Rolled samples with dimensions of 200 x 200 x 1.8 mm receive a single pass of ECAP at 200 °C. After processing the microstructure of the samples were analyzed by means of optical microscopy, electron backscatter diffraction and X-ray diffraction. the results showed that the microstructure can be refined and the texture altered in comparison to conventionally rolled AZ31 sheets. the samples processed by ECAP show an increase in formability up to 50% higher than conventionally rolled sheets. this demonstrates the potential of using shear deformation for processing Mg sheets. © (2015) Trans Tech Publications, Switzerland.

关键词： Equal channel angular pressing

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A Reconfigurable Application-specific Instruction-set Processor for Fast Fourier Transform processing

A Reconfigurable Application-specific Instruction-set Proces...

引用

IEEE international conference on Application-specific Systems, architectures and Processors

作者： Waqar Hussain Xiaolin Chen Gerd Ascheid Jari Nurmi Department of Electronics and Communications Engineering Tampere University of Technology FI-33101 Tampere Finland Institute for Communication Technologies and Embedded Systems Rheinisch-Westfaelische Technische Hochschule DE-52070 Aachen Germany

ISBN: (纸本)9781479904945

In this paper, we have presented a Reconfigurable Application-specific Instruction-set Processor (rASIP) that processes mixed-radix(2, 4) 64 and 128-point Fast Fourier Transform (FFT) algorithms while satisfying the partial execution-time requirements of IEEE-802.11n standard. the rASIP was designed by integrating a template-based Coarse-Grain Reconfigurable Array (CGRA) in the datapath of a simple Reduced Instruction-Set Computing (RISC) Processor. the instruction set of the RISC processor was extended to add special instructions to enable cycle-accurate processing by the CGRA. the rASIP is synthesized for Field Programmable Gate Arrays for the measurement of resource utilization and execution time. the postfit gate-level netlist of rASIP was simulated to estimate the power and energy consumption. Based on our measurements and estimates, we have studied the advantages of using rASIP in comparison with other systems.

关键词： CGRA RISC rASIP Coarse-grained Reconfigurable Architecture RNA-Induced Silencing Complex Reduced instruction set computers RISC processors Field programmable gate arrays Fast Fourier transform configurability PROCESSOR Resource utilization execution time instruction

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CURLA: Cloud-Based Spam URL Analyzer for Very Large Datasets

CURLA: Cloud-Based Spam URL Analyzer for Very Large Datasets

引用

IEEE international conference on Cloud Computing, CLOUD

作者： Shams Zawoad Ragib Hasan Md Munirul Haque Gary Warner Department of Computer and Information Sciences University of Alabama at Birmingham Birmingham AL USA

URL blacklisting is a widely used technique for blocking phishing websites. To prepare an effective blacklist, it is necessary to analyze possible threats and include the identified malicious sites in the blacklist. Spam emails are good source for acquiring suspected phishing websites. However, the number of URLs gathered from spam emails is quite large. Fetching and analyzing the content of this large number of websites are very expensive tasks given limited computing and storage resources. Moreover, a high percentage of URLs extracted from spam emails refer to the same website. Hence, preserving the contents of all the websites causes significant storage waste. To solve the problem of massive computing and storage resource requirements, we propose and develop CURLA - a Cloud-based spam URL Analyzer, built on top of Amazon Elastic Computer Cloud (EC2) and Amazon Simple Queue Service (SQS). CURLA allows processing large number of spam-based URLs in parallel, which reduces the cost of establishing equally capable local infrastructure. Our system builds a database of unique spam-based URLs and accumulates the content of these unique websites in a central repository, which can be later used for phishing or other counterfeit websites detection. We show the effectiveness of our proposed architecture using real-life spam-based URL data.

关键词： Uniform resource locators Electronic mail Queueing analysis Databases parallel processing Cloud computing

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Partitioning and mapping a fast level-set algorithm on the GPU

Partitioning and mapping a fast level-set algorithm on the G...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Julián Lamas-Rodríguez Dora B. Heras Francisco Argüello Stefan Zachow Dagmar Kainmueller CITIUS University of Santiago de Compostela Spain Visualization and Data Analysis Zuse Institute Berlin (ZIB) Germany

Level-set methods are commonly used to segment regions of interest within images or volumes. these tasks usually involve a high number of operations. GPUs nowadays feature high computation and data throughput capabilities. In this work we present two GPU implementations of the level-set-based segmentation method called Fast Two Cycle. Our solutions partition the computational domain in tiles that can be processed in parallel. the original algorithm is adapted to the special features of the GPU, and performance is optimized by keeping a record of the tiles that require processing at any given time. We have tested our implementations with a set of 3D CT images of brain vessels and we show that we can obtain competitive results using commodity hardware.

关键词： Graphics processing units Tiles Instruction sets Kernel Image segmentation Proposals three-dimensional displays

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