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检索条件"任意字段=5th International Conference on Algorithms and Architectures for Parallel Processing"

共 3293 条记录，以下是1041-1050 订阅

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Scaling Analysis of Solving algorithms for Canonical Problem of Dispatching in the Context of Dynamic Programming 7

Scaling Analysis of Solving Algorithms for Canonical Problem...

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7th international conference Internet Technologies and Applications (ITA)

作者： Fedosenko, Yuriy S. Reznikov, Mikhail B. Plekhov, Aleksandr S. Chakirov, Roustiam Houlden, Nigel Volga State Univ Water Transportat 5 Nesterov St Nizhnii Novgorod 603005 Russia Alekseev Nizhny Novgorod State Tech Univ 24 Minin St Nizhnii Novgorod 603155 Russia Bonn Rhein Sieg Univ Appl Sci 20 Grantham Allee D-53757 St Augustin Germany Glyndwr Univ Mold Rd Wrexham LL11 2AW Wales

ISBN: (纸本)9781509048151

the paper analyses computational model based on dynamic programming for platforms with multicore processors and heterogeneous architectures with FPGA. the models are applied for solving a canonical problem of dispatching where the computation time significantly depends on the problem scale factor. the parallel algorithms of NP-hard problem of dispatching are complicate and require intensive RAM data exchange. In order to reduce the computation time, it is suggested to use FPGA as a coprocessor providing massively parallel computation and increase the operational performance of the system in one order.

关键词： massively parallel calculations dynamic programming dispatching problem calculations modeling discrete optimisation

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A Cost Effective Dual Band Chebyshev parallel Coupled Microstrip Line Bandpass Filter for ISM Band Applications 2

A Cost Effective Dual Band Chebyshev Parallel Coupled Micros...

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2nd IEEE international conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Priya, M. Bhagavathi Ramprakash, K. Pavithra, P. Joe, D. Allin Kumaraguru Coll Technol Dept Elect & Commun Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781509044429

In this paper, a 5th order dual band chebyshev parallel coupled microstrip line bandpass filter is designed for Industrial, Scientific, and Medical (ISM) radio band and so this filter allows 2.4 GHz and 5 GHz frequency bands. ISM band is used in dual band routers and 2.4/5 GHz transverter. the designed filter is simulated using Advanced Design System (ADS) simulator and implemented on FR4 substrate with relative dielectric constant of 4.6. the simulated design has high return loss and low insertion loss on the desired ISM frequency bands.

关键词： Bandpass filter dual band Chebyshev microstrip line parallel coupled insertion loss return loss ADS

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algorithms and architectures for parallel processing: 15th international conference, ICA3PP 2015 zhangjiajie, China, November 18-20, 2015 proceedings, part IV 15th

Algorithms and architectures for parallel processing: 15th i...

引用

15th international conference on algorithms and architectures for parallel processing, ICA3PP 2015

作者： Wang, Guojun Zomaya, Albert Perez, Gregorio Martinez Li, Kenli Central South University Changsha China The University of Sydney SydneyNSW Australia University of Murcia Murcia Spain Hunan University Changsha China

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parallelism in C++ programs targeting objects 5

Parallelism in C++ programs targeting objects

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5th international conference on Advances in Computing, Communication and Control, ICAC3 2017

作者： Barve, Amit Khomane, Sneha Kulkarni, Bhagyashree Ghadage, Sonali Katare, Shubhangi CSE SITRC Nashik India CSE VIIT Pune India

ISBN: (纸本)9781538638521

Increasing use multi-core architecture demands use of parallel programming to utilize its tremendous processing power. Considering complexity of such parallel programming automatic serial to parallel code converter simplifies the job of programmer from complexity of parallel programming. Automatic conversion involves identification of parallel regions. Loop parallelization is trivial task. However, object parallelization requires object communication and dependency analysis. this paper presents a tool for exploiting parallelism in object oriented C++ programs and automatically converts serial code to its functionally equivalent parallel code. © 2017 IEEE.

关键词： parallel programming

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A Feature-based Food Recommendation on Apache Spark 5

A Feature-based Food Recommendation on Apache Spark

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5th international conference on Advanced Cloud and Big Data (CBD)

作者： Xu, Wenyuan Li, Yun Wei, Liting Wu, Zheng Yangzhou Univ Sch Informat Engn Yangzhou Jiangsu Peoples R China

ISBN: (纸本)9781538610725

With the improvement of living standards, people's demand for the quality of food is increasing. To provide a precise and efficient recommendation in this field, this paper proposes a parallel method based on food features on Apache Spark. this method finds similar users based on user evaluation on food expanded with food features, and products Top-N recommendations for the target user. We evaluate our approach by the data crawled from ***. the results show that this method can improve the accuracy and the parallelized calculation can greatly reduce the running time by adding work nodes into the cluster.

关键词： food recommendation system collaborative filtering parallel processing Apache Spark

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Tree Structured Data processing on GPUs 7

Tree Structured Data Processing on GPUs

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7th international conference on Cloud Computing, Data Science and Engineering (Confluence)

作者： Lu, Yifan Yang, Lu Bhavsar, Virendrakumar C. Kumar, Neetesh Univ New Brunswick Fredericton Dept Comp Sci Fredericton NB E3B 5A3 Canada Delhi Technol Univ Dept Comp Sci & Engn Delhi 110042 India

ISBN: (纸本)9781509035199

In order to reduce the computing time for processing large tree-structured data sets, parallel processing has been used. Recently, research has been done on parallel computing of tree-structured data on Graphics processing Units (GPUs). GPU device cannot directly access the tree structured data on hard disks which is commonly stored as objects or linked-lists. So, it is required to copying this tree structured data from hard disk to device memory for the computation and copying tree structured data in its normal structure is very costly because of lots of pointers overhead. Existing tree data structures on GPUs are commonly applied to storing a particular kind of tree, and support limited types of tree traversals. In this work, a tree data structure is proposed to store different kind of trees as a linear data structure (fast in copying). the proposed data structure is applied on general trees and binary trees and supports four common types of tree traversals: pre-order, post-order, in-order and breadth-first traversals. therefore, most of the tree algorithms can be implemented on GPUs by using this proposed data structure. the results show that the proposed data structure is successfully implemented for all the traversals for binary as well as general trees.

关键词： Tree traversals GPU binary tree general tree CUDA parallel processing

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Data Deduplication based on Hadoop 5

Data Deduplication based on Hadoop

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5th international conference on Advanced Cloud and Big Data (CBD)

作者： Zhang, Dongzhan Liao, Chengfa Yan, Wenjing Tao, Ran Zheng, Wei Xiamen Univ Sch Informat Sci & Engn Dept Comp Sci Xiamen Peoples R China

ISBN: (纸本)9781538610725

Efficient and scalable deduplication techniques are required to serve the need of removing duplicated data in big data processing platforms such as Hadoop. In this paper, an integrated deduplication approach is proposed by taking the features of Hadoop into acount and leveraging parallelism based on MapReduce and HBase so as to speed up the deduplication procedure. In our proposed approach, a new small-file aggregation scheme is proposed, and the new standard of Secure Hash Algorithm-3, Keccak is employed. the effectiveness of our proposed approach is demonstrated by extensive experiments on both artificial datasets with specific characteristics, as well as real world datasets.

关键词： Distributed databases Indexes Scalability Servers Redundancy Big Data parallel processing

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Performance Evaluation of Modern Broadwell Architecture of a parallel & Distributed Microprocessor

Performance Evaluation of Modern Broadwell Architecture of a...

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international Symposium on Wireless Systems and Networks (ISWSN)

作者： Saeed, Kanwal Raja, Gulistan Univ Engn & Technol Dept Elect Engn Taxila Pakistan

ISBN: (纸本)9781538615560

In this paper, we have discussed an overview of the modern architectures which were introduced recently and broadly used nowadays. We have evaluated the overall performance of a modern Broadwell architecture using a distributed and shared memory system. the performance has been tested based on the speedup gained after running the parallelized form of the various sequential programs. the analysis has been performed using the benchmark programs of an open source Parmibench suite. the speedups obtained by the parallel distribution of the processor cores compared to the sequential distribution have been observed. the key simulation prospects and features which need to be enhanced in the future products of the low power microprocessor family have been identified. Simulation results show that the low clock frequency processors provide both efficient processing capabilities along with reduced power consumption, after we compared them with a high clock frequency microprocessor.

关键词： Broadwell microprocessor architecture 5th generation Parmibench performance core M skylake low-power microprocessors

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EGS: An Effective Global I/O Scheduler to Improve the Load Balancing of SSD-based RAID-5 Arrays 15

EGS: An Effective Global I/O Scheduler to Improve the Load B...

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15th IEEE international Symposium on parallel and Distributed processing with Applications (ISPA) / 16th IEEE international conference on Ubiquitous Computing and Communications (IUCC)

作者： Lu, Yanjun Wu, Chentao Li, Jie Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China

ISBN: (纸本)9781538637906

With the expansion in data volumes, disk arrays require high speed and large volumes to adapt the cloud computing environment. Solid State Drives (SSDs) now have the trend to substitute the traditional external storage because of their better performance than Hard Disk Drives (HDDs), so they are proper to be utilized in disk arrays. However, traditional I/O scheduler in RAID systems use uniform I/O distribution to balance the workload, which is not suitable for SSD-based RAID. It is because that typical SSD has asymmetric performance on read/write operations, which can result in unbalanced I/O accesses in an SSD array. Furthermore, an even I/O distribution can have an uneven write distribution, which leads to unbalanced lifetime of various SSDs and affects the lifetime of SSD arrays significantly. Obviously, this problem cannot be well addressed through internal wear leveling mechanisms in SSDs. To address the above problems, in this paper, we propose an effective global I/O scheduler called "EGS", which can optimize the I/O performance and prolong the lifetime of SSD-based RAID-5 arrays. According to different access time of read/write operations, we separate the read and write operations to give different weights, and make each disk has a same amount of window (consists of several read/write U0s) simultaneously. On the other hand, to avoid unbalanced write distribution, we design an additional policy to prolong SSDs' lifetime. To demonstrate the effectiveness of EGS, we conduct several simulations via Disksim. the results show that, compared to traditional I/O scheduling algorithms, EGS saves average response time by up to 40%, and increases the lifetime of SSD array by approximately 45%.

关键词： I/O Scheduling SSD RAID Performance Reliability

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De-Duplication Of Passports Using Aadhaar 7

De-Duplication Of Passports Using Aadhaar

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7th international conference on Computer Communication and Informatics (ICCCI)

作者： Prathilothamai, M. Nair, Priyanka Sunil Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Comp Sci & Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781467388566;9781467388559

Big data is an emerging technology that is becoming an essential part of national governance. Aadhaar is the unique identification scheme of India, handled by the Unique Identification Authority of India (UIDAI), which deals with big data. Every person above the age of 5 years has to register their demographic details (Name, Date of Birth, Address and Phone number) and biometric details (10 fingerprints and both iris) and then these details are used to verify the authenticity of the person when any services are required by him. Passport is a legal document that is carried by a person when he travels between countries, but in the case of the older passports with no biometric data, a person may have more than one legal passport with different demographic details. this paper does a case study on the existing de-duplication methods for passport enrolments and other such documents. In the case of newer passports, it takes 10 days to link with Aadhaar at the time of registration, hence the aim is to reduce the processing time of the linking and verification. String matching algorithms are used to compare the demographics, and techniques such as genetic programming and hashing are used for de-duplication. this case study also helps identify big and fast data platforms to identify such e-governance plans, by evaluating the accuracy and efficiency of existing algorithms. this system aims to predict the duplication of passports by linking Aadhaar and passport details, and to reduce the processing time of the Aadhaar database by using parallel algorithms.

关键词： UIDAI de-duplication Aadhaar passports big data biometrics graphics processing unit (GPU) image processing

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