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Generalized net model for parallel optimization of multilayer perceptron with momentum backpropagation algorithm

Generalized net model for parallel optimization of multilaye...

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IEEE international conference on Intelligent Systems

作者： Sotirov, Sotir Atanassov, Krassimir Krawczak, Maciej Prof. Asen Zlatarov University Bourgas Bulgaria Bulgarian Academy of Sciences Sofia Bulgaria Systems Research Institute Polish Academy of Sciences Warsaw Poland

ISBN: (纸本)9781424451647

In this paper we used a generalized net which gives a possibility for parallel optimization of multilayer neural networks. For training the backpropagation algorithm with momentum was considered. We proposed a generalized net model of parallel training of two neural networks with different architectures. the difference between the networks is in the number of neurons in main difference of the neural networks architectures is the numbers of neurons in hidden layers. In result we can obtain optimal neural network architecture. © 2010 IEEE.

关键词： Network architecture

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Accelerating Dock6's Amber Scoring with Graphic processing Unit

Accelerating Dock6's Amber Scoring with Graphic Processing U...

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10th international conference on algorithms and architectures for parallel processing

作者： Yang, Hailong Li, Bo Wang, Yongjian Luan, Zhongzhi Qian, Depei Chu, Tianshu Beihang Univ Sino German Joint Software Inst Dept Comp Sci & Engn Beijing 100191 Peoples R China

ISBN: (纸本)9783642131189

In the drug discovery field, solving the problem of virtual screening is a long term-goal. the scoring functionality which evaluates the fitness of the docking result is one of the major challenges in virtual screening. In general, scoring functionality in docking requires large amount of floating-point calculations and usually takes several weeks or even months to be finished. this time-consuming disadvantage is unacceptable especially when highly fatal and infectious virus arises such as SARS and H1N1. this paper presents how to leverage the computational power of GPU to accelerate Dock6 [1]'s Amber [2] scoring with NVIDIA CUDA [3] platform. We also discuss many factors that will greatly influence the performance after porting the Amber scoring to GPU, including thread management, data transfer and divergence hidden. Our GPU implementation shows a 6.5x speedup with respect to the original version running on AMD dual-core CPU for the same problem size.

关键词： Graphics processing unit

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Adapting communication-avoiding LU and QR factorizations to multicore architectures

Adapting communication-avoiding LU and QR factorizations to ...

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24th IEEE international parallel and Distributed processing Symposium, IPDPS 2010

作者： Donfack, Simplice Grigori, Laura Kumar Gupta, Alok INRIA Saclay-Ile de France Bat 490 Universite Paris-Sud 11 91405 Orsay France BCCS Bergen 5075 Norway

ISBN: (纸本)9781424464432

In this paper we study algorithms for performing the LU and QR factorizations of dense matrices. Recently, two communication optimal algorithms have been introduced for distributed memory architectures, referred to as communication avoiding CALU and CAQR. In this paper we discuss two algorithms based on CAQR and CALU that are adapted to multicore architectures. they combine ideas to reduce communication from communication avoiding algorithms with asynchronism and dynamic task scheduling. For matrices that are tall and skinny, that is, they have many more rows than columns, the two algorithms outperform the corresponding algorithms from Intel MKL vendor library on a dual-socket, quad-core machine based on Intel Xeon EMT64 processor and on a four-socket, quad-core machine based on AMD Opteron processor. For these matrices, multithreaded CALU outperforms the corresponding routine dgetrf from Intel MKL library up to a factor of 2.3 and the corresponding routine dgetrf from ACML library up to a factor of 5, while multithreaded CAQR outperforms by a factor of 5.3 the corresponding dgeqrf routine from MKL library. © 2010 IEEE.

关键词： Matrix algebra

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On the Definition of Service Abstractions for parallel Computing

On the Definition of Service Abstractions for Parallel Compu...

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8th international conference, PPAM 2009

作者： Paulino, Herve Univ Nova Lisboa Dept Informat P-1200 Lisbon Portugal

ISBN: (纸本)9783642144028

the availability of real parallelism in multi-core based architectures has resurrected the interest in concurrent computing in general, and parallel computing in particular New languages and libraries have been recently proposed to increase productivity in the context of these architectures In this paper we present a novel approach that resorts to the service abstraction for annotating parallelism

关键词： Abstracting

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parallel POPULATION BASED INCREMENTAL LEARNING WIth GPU ACCELERATION FOR NONLINEAR OPTIMIZATION

PARALLEL POPULATION BASED INCREMENTAL LEARNING WITH GPU ACCE...

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ASME international Design Engineering Technical conferences/Computers and Information in Engineering conference

作者： Zhu, Weihang Lamar Univ Dept Ind Engn Beaumont TX 77710 USA

ISBN: (纸本)9780791849026

this paper presents a GPU-based parallel Population Based Incremental Learning (PBIL) algorithm with a local search on bound constrained optimization problems. the genotype of an entire population is evolved in PBIL, which was derived from Genetic algorithms. Graphics processing Units (GPU) is an emerging technology for desktop parallel computing. In this research, the classical PBIL is adapted in the data-parallel GPU computing platform. the global optimal search of the PBIL is enhanced by a local Pattern Search method. the hybrid PBIL method is implemented in the GPU environment, and compared to a similar implementation in the common computing environment with a Central processing Unit (CPU). Computational results indicate that GPU-accelerated PBIL method is effective and faster than the corresponding CPU implementation.

关键词： algorithms Genetic algorithms Optimization Graphics processing units

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Balanced Multi-process parallel Algorithm for Chemical Compound Inference with Given Path Frequencies

Balanced Multi-process Parallel Algorithm for Chemical Compo...

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10th international conference on algorithms and architectures for parallel processing

作者： Zhou, Jiayi Yu, Kun-Ming Lin, Chun Yuan Shih, Kuei-Chung Tang, Chuan Yi Chung Hua Univ Dept Comp Sci & Informat Engn Hsinchu 300 Taiwan Natl Tsing Hua Univ Dept Comp Sci Hsinchu 30013 Taiwan Chang Gung Univ Dept Comp Sci & Informat Engn Taoyuan Taiwan

ISBN: (纸本)9783642131356

To enumerate chemical compounds with given path frequencies is a fundamental procedure in Chemo- and Bio-inforrnatics. the applications include structure determination, novel molecular development, etc. the problem complexity has been proven as NP-hard. Many methods have been proposed to solve this problem. However, most of them are heuristic algorithms. Fujiwara et al. propose a sequential branch-and-bound algorithm. Although it reaches all solutions and avoids exhaustive searching, the computation time still increases significantly when the number of atoms increases. Hence, in this paper, a parallel algorithm is presented for solving this problem. the experimental results showed that computation time was reduced even when more processes were launched. Moreover, the speed-up ratio for most of the test cases was satisfactory and, furthermore, it showed potential for use in drug design.

关键词： Branch-and-bound algorithm load-balancing chemical compound inference drug design

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Impact of Multimedia Extensions for Different processing Element Granularities on an Embedded Imaging System

Impact of Multimedia Extensions for Different Processing Ele...

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10th international conference on algorithms and architectures for parallel processing

作者： Kim, Jong-Myon Univ Ulsan Sch Comp Engn & Informat Technol Ulsan 680749 South Korea

ISBN: (纸本)9783642131189

Multimedia applications are among the most dominant computing workloads driving innovations in high performance and cost effective systems. In this regard, modern general-purpose microprocessors have included multimedia extensions (e.g., MMX, SSE, VIS, MAX, ALTIVEC) to their instruction set architectures to improve the performance of multimedia with little added cost to microprocessors. Whereas prior studies of multimedia extensions have primarily focused on a single processor, this paper quantitatively evaluates the impact of multimedia extensions on system performance and efficiency for different number of processing elements (PEs) within an integrated multiprocessor array. this paper also identifies the optimal PE granularity for the array system and implementation technology in terms of throughput, area efficiency, and energy efficiency using architectural and workload simulation. Experimental results with cycle accurate simulation and technology modeling show that MMX-type instructions (a representative Intel's multimedia extensions) achieve an average speedup ranging from 1.24x (at a 65,536 PE system) to 5.65x (at a 4 PE system) over the baseline performance. In addition, the MMX-enhanced processor array increases both area and energy efficiency over the baseline for all the configurations and programs. Moreover, the highest area and energy efficiency are achieved at the number of PEs between 256 and 1,024. these evaluation techniques composed of performance simulation and technology modeling can provide solutions to the design challenges in a new class of multiprocessor array systems for multimedia.

关键词： image and video processing multimedia extensions multiprocessor arrays grain size determination technology modeling

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Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core architectures

Reduction to Condensed Forms for Symmetric Eigenvalue Proble...

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8th international conference on parallel processing and Applied Mathematics

作者： Bientinesi, Paolo Igual, Francisco D. Kressner, Daniel Quintana-Orti, Enrique S. Rhein Westfal TH Aachen AICES D-52074 Aachen Germany Univ Jaume 1 Dept Ingn & Ciencia Comp Castellon de La Plana 12071 Spain ETH Seminar Angewandte Mathemat Zurich Switzerland

ISBN: (纸本)9783642143892

We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric eigenvalue problem, on general-purpose multicore processors. In response to the advances of hardware accelerators, we also modify the code in SBR. to accelerate the computation by off-loading a significant part of the operations to a graphics processor (GPU). Performance results illustrate the parallelism and scalability of these algorithms on current high-performance multi-core architectures.

关键词： Eigenvalues and eigenfunctions

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Robust Spoken Instruction Understanding for HRI

Robust Spoken Instruction Understanding for HRI

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5th ACM/IEEE international conference on Human-Robot Interaction (HRI)

作者： Cantrell, Rehj Scheutz, Matthias Schermerhorn, Paul Wu, Xuan Indiana Univ Human Robot Interact Lab Bloomington IN 47406 USA

ISBN: (纸本)9781424448937

Natural human-robot interaction requires different and more robust models of language understanding (NLU) than non-embodied NLU systems. In particular, architectures are required that (1) process language incrementally in order to be able to provide early backchannel feedback to human speakers;(2) use pragmatic contexts throughout the understanding process to infer missing information;and (3) handle the underspecified, fragmentary, or otherwise ungrammatical utterances that are common in spontaneous speech. In this paper, we describe our attempts at developing an integrated natural language understanding architecture for HRI, and demonstrate its novel capabilities using challenging data collected in human-human interaction experiments.

关键词： natural human-robot interaction natural language processing dialogue interactions integrated architecture

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A proposed asynchronous object load balancing method for parallel 3D image reconstruction applications

A proposed asynchronous object load balancing method for par...

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10th international conference algorithms and architectures for parallel processing, ICA3PP 2010

作者： Alvarez-Bermejo, Jose Antonio Roca-Piera, Javier Dept of Computer Architecture and Electronics Universidad de Almería Ctra. Sacramento S/N. 04120 Spain

ISBN: (纸本)3642131182

Scientific applications usually exhibit irregular patterns of execution and high resource usage. parallel architectures are a feasible solution to face these drawbacks, but porting software to parallel platforms means the addition of an extra layer of complexity to scientific software. Abstractions such as Object Orientation and models like the concurrent object model may be of great help to develop scientific parallel applications. the shared nature of parallel architectures and the stochastic condition of parallel schedulers underline the adaptivity as a desired feature for parallel applications. Load Balancers are key for achieving adaptivity, and benefit from object oriented models in issues like load migration. In this paper we present our experiences when porting scientific software using the concurrent object abstraction and a method to asynchronously invoke load balancers. © Springer-Verlag Berlin Heidelberg 2010.

关键词： parallel architectures

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