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检索条件"任意字段=8th International Conference on Parallel Processing and Applied Mathematics"

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the improved parallel ray casting algorithm in embedded multi-core dsp system 8th

The improved parallel ray casting algorithm in embedded mult...

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8th international conference on Computer Engineering and Networks, CENet 2018

作者： Hu, Congliang Wan, Huaqing Li, Liang 719 Research Institute Wuhan China

ISBN: (纸本)9783030146795

An improved parallel ray casting algorithm in embedded multi-core DSP system is proposed in this paper. In order to speed up the process of intersection, the algorithm takes advantage of the improved bounding volume hierarchy (BVH) technology. By parallelizing and optimizing ray casting algorithm on TMS320C6678 of TI, the computing efficiency greatly increases. Master-slave mode is adopted to schedule the tasks and balance the load between 8 cores in parallel processing. Moreover, the code and Cache is optimized on the hardware platform. the experimental result shows that our method has good performance and exceeds the result of OpenMP (Open Multiprocessing). this paper proposes a new method to run rendering algorithm on embedded platform efficiently. the rendering algorithm usually runs on GPU, due to GPU’s powerful computing capability. © Springer Nature Switzerland AG 2020.

关键词： Rendering (computer graphics)

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An FPGA Accelerator for Bayesian Network Structure Learning with Iterative Use of processing Elements

An FPGA Accelerator for Bayesian Network Structure Learning ...

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19th international conference on Field-Programmable Technology (ICFPT)

作者： Nitta, Yasuhiro Takase, Hideki Kyoto Univ Grad Sch Informat Kyoto Japan JST PRESTO Program Kyoto Japan

ISBN: (纸本)9781665423021

A Bayesian network is one of the graphical models that represent the causality or correlation relationship among multiple observed phenomena. the structure learning of this network is generally NP difficult, and the computational time to obtain an approximate solution becomes huge. this paper proposes an FPGA accelerator for structure learning of Bayesian networks. the proposed method employs a dataflow type architecture and executes processes without dependency in dynamic programming in parallel. By iteratively using processing elements at each processing stage, we can efficiently use limited resources while taking advantage of the parallel performance of FPGAs. We implemented the proposed method for Xilinx Alveo U200 using high-level synthesis. Evaluation results showed that we achieved up to 12.6 times faster than single-core execution of software and up to 2.98 times faster than on multi-core execution. We further applied the proposed method to the Local-to-Global algorithm and achieves 8.6 times faster than the software execution in the structure learning of a practical network with 37 nodes.

关键词： FPGA Bayesian networks reconfigurable computing high-level synthesis codesign

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Accelerating the AES Algorithm using OpenCL 9

Accelerating the AES Algorithm using OpenCL

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9th international conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Sanida, theodora Sideris, Argyrios Dasygenis, Minas Univ Western Macedonia Dept Elect & Comp Engn Kozani 50131 Greece

ISBN: (纸本)9781728166872

Nowadays, cryptography plays an important role in the field of information security. the most common symmetric cryptographic algorithm is Advanced Encryption Standard (AES), which is based on the well-known Rijndael algorithm and is used worldwide in every domain. In this document, we present the implementation of the AES algorithm in two parallel modes of operation (CTR and XTS) with the OpenCL programming language. We used OpenCL because it is designed for parallel computing on heterogeneous platforms and ensures portability. Furthermore, we applied 128, 192 and 256 bit cryptographic key size and a file size ranging from 512B to 8MB to evaluate the performance of the kernel runtime and throughput (Gbps). the results have shown that, the performance of the CTR mode is better than the XTS mode. CTR mode speeds up the process of encryption with 128 bit key over 10.15%, 192 bit key over 10.09% and 256 bit key over 10.05%. the decryption process shows 128 bit key acceleration over 10.11%, 192 bit key over 10.05% and 256 bit key over 10.02%. Finally, comparing the results of our implementation to other similar parallel models, we have achieved better throughput performance.

关键词： Cryptography OpenCL Advanced Encryption Standard (AES) Rijndael CTR XTS Graphics processing Unit (GPU) Block cipher

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parallel coordinates visualization in the ELK stack 30

Parallel coordinates visualization in the ELK stack

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30th international conference on Computer Graphics and Machine Vision, GraphiCon 2020

作者： Galkin, Timofei Grigorieva, Maria National Research Nuclear University "MEPhI" Kashirskoe shosse 31 Moscow115409 Russia Scientific Research Computing Center Lomonosov Moscow State University Leninskie Gory 1 p.4 Moscow119991 Russia Moscow Center of Fundamental and Applied Mathematics Leninskie Gory 1 Moscow119991 Russia

Modern large-scale distributed computing systems, processing large volumes of data, require mature monitoring systems able to control and track in resources, networks, computing tasks, queues and other components. In recent years, the ELK stack has become very popular for the monitoring of computing environment, largely due to the efficiency and flexibility of the ElasticSearch storage and wide variety of Kibana visualization tools. the analysis of computing infrastructure metadata often requires the visual exploration of multiple parameters simultaneously on one graphical image. Stacked bar charts, heatmaps, radar charts are widely used for the multivariate visual data analysis, but these methods have limitations on the number of parameters. In this research the authors propose to enhance the capacity of Kibana, adding parallel Coordinates diagram - one of the most powerful method for visual interactive analysis of high-dimensional data. It allows to compare many variables together and observe correlations between them. this work describes the development process of parallel Coordinates as a Kibana plugin, and demonstrates an example of visual data analysis based on the Nginx logs metadata. © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Visualization

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Energy-Efficient Energy Analytics Using a General Purpose Graphics processing Unit 8

Energy-Efficient Energy Analytics Using a General Purpose Gr...

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8th IEEE international conference on Big Data (Big Data)

作者： De, Sagnik Golab, Wojciech Univ Waterloo Elect & Comp Engn Waterloo ON Canada

ISBN: (纸本)9781728162515

Smart meters allow energy providers to monitor their customers' power consumption. this fine-grained data stream generates many data points, which hides broader trends in power consumption and makes it difficult for energy providers to make decisions regarding a specific customer or a subset of customers. Since the raw power data has little direct use, various algorithms have been proposed to lower the dimensionality of data, discover trends, study relationships between different features of collected data, and summarize data. these analytical techniques make the data more palatable to the end user. Analyzing smart meter data is computationally intensive as there is a large number of households connected to one energy provider, and each household generates years of data at hourly intervals. To speed up the analysis, clusters of commodity computers have been used. Ironically, such clusters consume substantial energy - studies have shown that about 10% of the world-wide supply of electrical power is consumed by the computing infrastructure. In this paper, we describe the use of a graphics processing unit (GPU) to analyze smart meter data, and compare its performance with a conventional multi-core CPU. We discuss the technical challenges in programming a GPU effectively to process smart meter data, and demonstrate experimentally that this choice of implementation enables substantial improvements in terms of both running time and energy-efficiency as compared to the multi-core CPU.

关键词： smart grid smart electricity meters data analytics parallel processing GPU energy-efficiency scalability

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Performance Analysis of a parallel Denoising Algorithm on Intel Xeon Computer System 13th

Performance Analysis of a Parallel Denoising Algorithm on In...

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13th international conference on parallel processing and applied mathematics, PPAM 2019

作者： Lirkov, Ivan Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev bl. 25A Sofia1113 Bulgaria

ISBN: (纸本)9783030432218

this paper presents an experimental performance study of a parallel implementation of the Poissonian image restoration algorithm. Hybrid parallelization based on MPI and OpenMP standards is investigated. the implementation is tested for high-resolution radiographic images on a supercomputer using Intel Xeon processors as well as Intel Xeon Phi coprocessors. the experimental results show an essential improvement when running experiments for a variety of problem sizes and number of threads. © 2020, Springer Nature Switzerland AG.

关键词： Image reconstruction

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parallel computations for various scalarization schemes in multicriteria optimization problems 13th

Parallel computations for various scalarization schemes in m...

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13th international conference on parallel processing and applied mathematics, PPAM 2019

作者： Gergel, Victor Kozinov, Evgeny Lobachevsky State University of Nizhni Novgorod Nizhni Novgorod Russia

ISBN: (纸本)9783030432287

In the present paper, a novel approach to parallel computations for solving time-consuming multicriteria global optimization problems is presented. this approach includes various methods for the scalarization of vector criteria, dimensionality reduction with the use of the Peano space-filling curves, and efficient global search algorithms. the applied criteria scalarization methods can be altered in the course of computations in order to better meet the stated optimality requirements. To reduce the computational complexity of multicriteria problems, the methods developed feature an extensive use of all the computed optimization information and are well parallelized for effective performance on high-performance computing systems. Numerical experiments confirmed the efficiency of the developed approach. © Springer Nature Switzerland AG 2020.

关键词： Global optimization

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Voice Quality Evaluation Platform for the Arabic Language

Voice Quality Evaluation Platform for the Arabic Language

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international Conf on Electrical and Electronic Engineering (ICEEE)

作者： Aissa Amrouche Khadidja Nesrine Boubakeur Youssouf Bentrcia Kamel Ferrat Ahcène Abed Leila Falek Laboratory of Spoken Communication and Signal Processing USTHB Algiers Algeria Scientific and Technical Research Centre for the Development of Arabic Language CRSTDLA Algiers Algeria Signal and Communication Laboratory USDB Blida Algeria

the voice quality evaluation of communication systems is necessary for technical and commercial reasons for the expansion of digital networks, mobile or VoIP and speech synthesis systems. Voice quality can be evaluated using two types of methods: subjective MOS (Mean Opinion Score) and objective PESQ (Perceptual Evaluation Speech Quality). In this work, we propose a study of voice quality evaluation methods; in which a subjective and objective evaluation platform of voice quality is provided. We applied different tests used in the assessment of the speech signal quality to speech synthesis signal for the Arabic Language (GArabic: Generic Arabic). the listeners recognized the majority of changes of consonants and vowels in words and sentences with respective percentages of 98.26%, 92.97%. the comparison between MOS and PESQ tests gave a good correlation coefficient of 0.922.

关键词： Correlation coefficient Communication systems Ear Real-time systems Quality assessment Speech synthesis Mathematical model

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Vectorized parallel solver for tridiagonal toeplitz systems of linear equations 13th

Vectorized parallel solver for tridiagonal toeplitz systems ...

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13th international conference on parallel processing and applied mathematics, PPAM 2019

作者： Dmitruk, Beata Stpiczyński, Przemyslaw Institute of Computer Science Maria Curie–Sklodowska University ul. Akademicka 9 Lublin20-033 Poland

ISBN: (纸本)9783030432287

the aim of this paper is to present two versions of a new divide and conquer parallel algorithm for solving tridiagonal Toeplitz systems of linear equations. Our new approach is based on a recently developed algorithm for solving linear recurrence systems. We discuss how to reduce the number of necessary synchronizations and show proper data layout that allows to use cache memory and SIMD extensions of modern processors. Numerical experiments show that our new implementations achieve very good seedup on multicore and manycore architectures. Moreover, they are more energy efficient than a simple sequential algorithm. © Springer Nature Switzerland AG 2020.

关键词： Energy efficiency

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Robust task-parallel solution of the triangular sylvester equation 13th

Robust task-parallel solution of the triangular sylvester eq...

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13th international conference on parallel processing and applied mathematics, PPAM 2019

作者： Schwarz, Angelika Kjelgaard Mikkelsen, Carl Christian Department of Computing Science Umeå University Umeå Sweden

ISBN: (纸本)9783030432287

the Bartels-Stewart algorithm is a standard approach to solving the dense Sylvester equation. It reduces the problem to the solution of the triangular Sylvester equation. the triangular Sylvester equation is solved with a variant of backward substitution. Backward substitution is prone to overflow. Overflow can be avoided by dynamic scaling of the solution matrix. An algorithm which prevents overflow is said to be robust. the standard library LAPACK contains the robust scalar sequential solver dtrsyl. this paper derives a robust, level-3 BLAS-based task-parallel solver. By adding overflow protection, our robust solver closes the gap between problems solvable by LAPACK and problems solvable by existing non-robust task-parallel solvers. We demonstrate that our robust solver achieves a performance similar to non-robust solvers. © Springer Nature Switzerland AG 2020.

关键词： Computers

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