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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941-950 订阅

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A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation 12th

A GPU Implementation of Bulk Execution of the Dynamic Progra...

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12th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Yamashita, Kohei Ito, Yasuaki Nakano, Koji Hiroshima Univ Dept Informat Engn Kagamiyama 1-4-1 Higashihiroshima 7398527 Japan

ISBN: (纸本)9783319780245;9783319780238

the optimal polygon triangulation problem for a convex polygon is an optimization problem to find a triangulation with minimum total weight. It is known that this problem can be solved using the dynamic programming technique in O(n(3)) time. the main contribution of this paper is to present an efficient parallel implementation of this O(n(3))-time algorithm for a lot of instances on the GPU (Graphics processing Unit). In our proposed GPU implementation, we focused on the computation for a lot of instances and considered programming issues of the GPU architecture such as coalesced access of the global memory, warp divergence. Our implementation solves the optimal polygon triangulation problem for 1024 convex 1024-gons in 4.77 s on the NVIDIA TITAN X, while a conventional CPU implementation runs in 241.53 s. thus, our GPU implementation attains a speedup factor of 50.6.

关键词： GPGPU CUDA Triangulation Dynamic programming parallel algorithms Bulk execution

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parallelization of Selected algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU plus Xeon Phi Environment 38th

Parallelization of Selected Algorithms on Multi-core CPUs, a...

引用

38th international conference on Information Systems Architecture and Technology (ISAT)

作者： Krzywaniak, Adam Czarnul, Pawel Gdansk Univ Technol Fac Elect Telecommun & Informat Gdansk Poland

ISBN: (纸本)9783319672205;9783319672199

In the paper we present parallel implementations as well as execution times and speed-ups of three different algorithms run in various environments such as on a workstation with multi-core CPUs and a cluster. the parallel codes, implementing the master-slave model in C+MPI, differ in computation to communication ratios. the considered problems include: a genetic algorithm with various ratios of master processing time to communication and fitness evaluation times, matrix multiplication and numerical integration. We present how the codes scale in the aforementioned systems. For the numerical integration code that scales very well we also show performance in a hybrid CPU+Xeon Phi environment.

关键词： parallel programming Multi-core CPU Cluster Intel Xeon Phi parallelization

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Designing a Green Data processing Device using Different Input/Output Standards on FPGA 5

Designing a Green Data Processing Device using Different Inp...

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5th IEEE international conference on parallel, Distributed and Grid Computing (PDGC)

作者： Garg, Diya Sharma, Kulbhushan Singla, Anshu Chitkara Univ Chitkara Univ Inst Engn & Technol Dept Comp Sci & Engn Rajpura Punjab India Chitkara Univ Chitkara Univ Inst Engn & Technol Dept Elect & Commun Engn Rajpura Punjab India

ISBN: (纸本)9781728106465

An effective way to save power is utilization of suitable Input/output (IO) standard with Data processing Devices (DPDs) implemented on Field Programmable Gate Arrays (FPGAs) at data centers. In this work, a power efficient Floating Point Unit (FPU) as a DPD has been designed in 65nm process technology using Virtex 5 FPGA and its impact on the power consumption of FPU with different IO standards is presented. the performance was analyzed at 1.9 GHz frequency which is operating frequency of AMD X2150 using Verilog as hardware descriptive language (HDL) in Xilinx 14.1 ISE platform. Among all the reported IO standards used with FPU at 1.9 GHz, the results obtained with Low-Voltage Digitally Controlled Impedance_15 (LVDCI_15) shows power consumption of 2.169W only. Using LVDCI_15 instead of Stub-Series Terminated Logic_I (SSTL_I), saves 39.44% of total power at operating frequency of 1.9 GHz. LVDCI15 is best suitable with Virtex 5 FPGA at 1.9 GHz for implementation of DPDs.

关键词： Data centers data processing Device FPGA power consumption processor

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Automatic Fitting of Neuron Parameters 3

Automatic Fitting of Neuron Parameters

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3rd IEEE international conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Shen, Jiamin Wang, Ye Cao, Lihong Commun Univ China Neurosci & Intelligent Media Inst Beijing Peoples R China

ISBN: (纸本)9781538643013

Artificial neural networks are inspired by biological neural networks formed by many real neurons with spiking activities. It is important to simulate the spiking activities under different conditions. It is well known that the Hodgkin-Huxley (HH) equations can be used for simulation. However, we usually don't know the conductance of ion channels in the equation, which is required for simulation. In this paper, we develop a parallel genetic algorithm to estimate the conductance with a visual software tool. By fitting the experimental data, it is shown that when the number of individuals in the genetic algorithm is above 2000, the 5th generation can yield a near optimal solution and achieve a good fitting result.

关键词： genetic algorithm graphic processing unit computational neuroscience

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Bi-Transfer: A Data Packet Allocation Module with Chaining Transmission Mode

Bi-Transfer: A Data Packet Allocation Module with Chaining T...

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international conference on Computer and Communications (ICCC)

作者： Zerun Li Sen Yang Yu Wang Lirui Chen Yang Guo Zuocheng Xing College of Computer NUDT Changsha China

ISBN: (数字)9781728147437

ISBN: (纸本)9781728147444

With the increasing performance requirements of network data interaction on chip, the traditional Direct Memory Access (DMA) often performs with low efficiency of multi-module collaboration due to the competition of bus control, thereby reducing the throughput rate of the bus. Aiming at the working characteristics of inter-core communication and data interaction between multiple modules, this paper designs a packet transmission module Bi-Transfer that supports bidirectional data flow between multiple modules It also realizes chaining transmission of input and output data in parallel with various configuration modes and flexible data scheduling modes. this module can complete the functions of data movement, inter-core communication, task management, etc., and use descriptors to link load data packets to uniformly conFigure the data interaction mode of the on-chip network. In the experimental stage, function planning and code design are carried out first, then the timing simulation and data recording are described. Finally, the performance characteristics of this new data interaction module are discussed. According to statistical observations, increasing the number of channels in the design module can significantly increase the bandwidth of the bus. Under the given clock frequency, bus width and data transmission requirements, the bus operating bandwidth in the four-channel working mode can reach up to 4690 MB/s at most, which is nearly 400 MB/s beyond the ordinary DMA bus bandwidth. In the case of fewer channels, this module can fulfill the data scheduling requirements of most applications and provide the data moving function of ordinary DMA.

关键词： Scheduling algorithms Task analysis Bandwidth Data transfer Multicore processing Delays Scheduling

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Sentiment Analysis Using Lexicon Based Approach 5

Sentiment Analysis Using Lexicon Based Approach

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5th IEEE international conference on parallel, Distributed and Grid Computing (PDGC)

作者： Singh, Vijendra Singh, Gurdeep Rastogi, Priyanka Deswal, Devanshi NorthCap Univ Dept Comp Sci & Engn Gurugram India

ISBN: (纸本)9781728106465

With increasing easy access to internet there is an emergence of e-commerce and social media portals. there is a huge surge in the production of the human sentiments in form of customer reviews and feedback on these platforms. As per a survey approximately 2,500,000 Terabytes of data is created every day and 90 % of the data which exist today has been created in the past 2 years only. this huge amount of data created is called big data. the main problem associated with this huge data is that it is in unstructured form. So, to gain information, first we must process it using various methods. this paper proposes a Human sentiment analysis model (HSAM), which can perform sentiment analysis on any given data set.

关键词： Sentiment analysis opinion mining Part of speech tagging lexicon analysis dictionary-based approach pre-processing classification

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On the Tunability of a New Hessenberg Reduction Algorithm Using parallel Cache Assignment 12th

On the Tunability of a New Hessenberg Reduction Algorithm Us...

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12th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Eljammaly, Mahmoud Karlsson, Lars Kagstrom, Bo Umea Univ S-90187 Umea Sweden

ISBN: (纸本)9783319780245;9783319780238

the reduction of a general dense square matrix to Hessenberg form is a well known first step in many standard eigenvalue solvers. Although parallel algorithms exist, the Hessenberg reduction is one of the bottlenecks in AED, a main part in state-of-the-art software for the distributed multishift QR algorithm. We propose a new NUMA-aware algorithm that fits the context of the QR algorithm and evaluate the sensitivity of its algorithmic parameters. the proposed algorithm is faster than LAPACK for all problem sizes and faster than ScaLAPACK for the relatively small problem sizes typical for AED.

关键词： Hessenberg reduction parallel cache assignment NUMA-aware algorithm Shared-memory Tunable parameters Off-line tuning

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TaskUniVerse: A Task-Based Unified Interface for Versatile parallel Execution 12th

TaskUniVerse: A Task-Based Unified Interface for Versatile P...

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12th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Zafari, Afshin Uppsala Univ Div Comp Sci Dept Informat Technol Lagerhyddsvagen 2 S-75237 Uppsala Sweden

ISBN: (纸本)9783319780245;9783319780238

Task based parallel programming has shown competitive outcomes in many aspects of parallel programming such as efficiency, performance, productivity and scalability. Different approaches are used by different software development frameworks to provide these outcomes to the programmer, while making the underlying hardware architecture transparent to her. However, since programs are not portable between these frameworks, using one framework or the other is still a vital decision by the programmer whose concerns are expandability, adaptivity, maintainability and interoperability of the programs. In this work, we propose a unified programming interface that a programmer can use for working with different task based parallel frameworks transparently. In this approach we abstract the common concepts of task based parallel programming and provide them to the programmer in a single programming interface uniformly for all frameworks. We have tested the interface by running programs which implement matrix operations within frameworks that are optimized for shared and distributed memory architectures and accelerators, while the cooperation between frameworks is configured externally with no need to modify the programs. Further possible extensions of the interface and future potential research are also described.

关键词： High Performance Computing Task based programming parallel programming Unified interface

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Reduced Latency Square-Root Calculation for Signal processing Using Radix-4 Hyperbolic CORDIC 5th

Reduced Latency Square-Root Calculation for Signal Processin...

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5th international conference on Advanced Computing, Networking, and Informatics (ICACNI)

作者： Kumari, Aishwarya Acharya, D. P. Natl Inst Technol Dept Elect & Commun Engn Rourkela India

ISBN: (纸本)9789811086366;9789811086359

In this paper, we are extending the usage of CORDIC algorithm from trigonometric mode, which has been the primary use of it from a very long time, to hyperbolic mode. Here, we have implemented Radix '4' hyperbolic CORDIC in vectoring mode for fast and efficient computing of Square-Root of a number. the simulation results are implemented on FPGA platform. Based on simulation results, comparison of Radix '4' CORDIC with Radix '2' CORDIC is presented too.

关键词： Hyperbolic Trigonometric CORDIC algorithm Radix '4' Pipelined architectures

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DESIGN OPTIMIZATION OF PERCS IN RELAP5 USING parallel processing AND A MULTI-OBJECTIVE NON-DOMINATED SORTING GENETIC ALGORIthM 26

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26th international conference on Nuclear Engineering (ICONE-26)

作者： Wilding, Paul R. Murray, Nathan R. Memmott, Matthew J. Brigham Young Univ Provo UT 84602 USA

ISBN: (纸本)9780791851517

Multi-objective optimization is a powerful tool that has been successfully applied to many fields but has seen minimal use in the design and development of nuclear power plant systems. When applied to design, multi-objective optimization involves the manipulation of key design parameters in order to develop optimal designs. these design parameters include continuous and/or discrete variables and represent the physical design specifications. they are modified across a specific design space to accomplish a number of set objective functions, representing the goals for both system design and performance, which conflict and cannot be combined into a single objective function. In this paper, a non-dominated sorting genetic algorithm (NSGA) and parallel processing in Python 3 were used to optimize the design of the passive endothermic reaction cooling system (PERCS) model developed in RELAP5/MOD 3.3. this system has been proposed as a retrofit to currently operating light water reactors (LWR) and is designed to remove decay heat from the reactor core via the endothermic decomposition of magnesium carbonate (MgCO3) and natural circulation of the reactor coolant. the PERCS design is currently a shell-and-tube heat exchanger, with the coolant flowing through the tube side and MgCO3 on the shell side. During a station blackout (SBO), the PERCS initially keeps the reactor core outlet temperature from exceeding 635 K and then reduces it to below 620 K for 30 days. the optimization of the PERCS was performed with three different objectives: (1) minimization of equipment costs, (2) minimization of deviation of the core outlet temperature during a SBO from its normal operation steady-state value, and (3) minimization of fractional consumption of MgCO3, a metric that is measurable and directly related to the operating time of the PERCS. the manipulated parameters of the optimization include the radius of the PERCS shell, the pitch, hydraulic diameter, thickness and length of the PER

关键词： Design Optimization Genetic algorithms parallel processing

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