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Texture synthesis by interspersing patches in a chessboard pattern

Texture synthesis by interspersing patches in a chessboard p...

引用

VRCAI 2009: 8th international conference on Virtual Reality Continuum and its Applications in Industry

作者： Chen, Xin Wang, Wencheng State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China Graduate University Chinese Academy of Sciences China

ISBN: (纸本)9781605589121

this paper presents a novel parallel algorithm to synthesize textures in patches. It decomposes the synthesis process into two steps by the chessboard pattern, with the first step to place patches in the black grids, and the second step to select suitable patches to fill the white grids, where a grid is in the same size of a patch. this way the placed patches in the first step have very weak constraints between them, and in the second step the selected patches are only dependent on their respective surrounding patches, according to the popularly used MRF model to guide texture synthesis. thus, our proposed algorithm can run in parallel without a hierarchical structure and iterative computation that are always expensive and required in existing parallel synthesis algorithms. At the same time, we adopt a measure to generate patches that can well reflect the periodic feature variation in the sample texture, so as to have texture features transited consistently between neighboring patches for high-quality synthesis. the results show that our proposed algorithm greatly promotes texture synthesis, being able to real time produce large textures in high quality, e.g., generating a texture in 2048*2048 pixels at over 55 fps on a common personnel computer. Copyright © 2009 by the Association for Computing Machinery, Inc.

关键词： Graphics processing unit

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STARPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore architectures

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15th international Euro-Par conference on parallel Computing

作者： Augonnet, Cedric thibault, Samuel Namyst, Raymond Wacrenier, Pierre-Andre Univ Bordeaux LaBRI INRIA Bordeaux Sud Ouest Bordeaux France

ISBN: (纸本)9783642038686

In the field of HPC, the current hardware trend is to design multiprocessor architectures that feature heterogeneous technologies such as specialized coprocessors (e.g., Cell/BE SPUs) or data-parallel accelerators (e.g., GPGPUs). Approaching the theoretical performance of these architectures is a complex issue. Indeed, substantial efforts have already been devoted to efficiently offload parts of the computations. However, designing an execution model that unifies all computing units and associated embedded memory remains a main challenge. We have thus designed STAR PU, an original runtime system providing a high-level, unified execution model tightly coupled with an expressive data management library. the main goal of STARPU is to provide numerical kernel designers with it convenient way to generate parallel tasks over heterogeneous hardware on the one hand, and easily develop and tune powerful scheduling algorithms on the other hand. We have developed several strategies that can be selected seamlessly at run time, and we have demonstrated their efficiency by analyzing the impact of those scheduling policies on several classical linear algebra algorithms that take advantage of multiple cores and GPUs at the same time. In addition to substantial improvements regarding execution times, we obtained consistent superlinear parallelism by actually exploiting the heterogeneous nature of the machine.

关键词： Information management

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High Computing-Intensive Array System Design and Hardware Implement

High Computing-Intensive Array System Design and Hardware Im...

引用

IEEE 8th international conference on ASIC

作者： Song, Yu-kun Wang, Xiao-lei Ni, Wei Zhang, Duo-li Du, Gao-ming Hefei Univ Technol Inst VLSI Design Hefei 230009 Peoples R China

ISBN: (纸本)9781424438686

this paper addresses a novel coarse grain dynamic reconfigurable computing system, called DReAC-2, design and hardware implement. A whole DReAC-2 system integrates a Nios II processor, which manages the whole reconfigurable system, and a dynamic reconfigurable coprocessor, which comprises of an 8x8 processing node array designed for high regularity, high computation-intensive tasks. Hardware prototype of DReAC-2 has been implemented on the ALTERA STRATIX II EP2S180 development board. According to task's nature, MIMD computing array can select either parallel-pipelined pattern or array-parallel pattern to gain the better performance. the experiment results show that DReAC-2 achieves much higher 10 similar to 100x factor than NIOS II processors, and 2x similar to 4x factors and higher precision than some others reconfigurable processors(1).

关键词： Reconfigurable Computing System High Computation-intensive Array-parallel parallel-Pipeline

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parallel Particle Swarm Optimization with Adaptive Asynchronous Migration Strategy

引用

9th international conference on algorithms and architectures for parallel processing

作者： Zhan, Zhi-hui Zhang, Jun Sun Yat Sen Univ Dept Comp Sci Guangzhou 510275 Guangdong Peoples R China

ISBN: (纸本)9783642030949

this paper proposes a parallel particle swarm optimization (PPSO) by dividing the search space into sub-spaces and using different swarms to optimize different parts of the space. In the PPSO framework, the search space is regarded as a solution vector and is divided into two sub-vectors. Two cooperative swarms work in parallel and each swarm only optimizes one of the subvectors. An adaptive asynchronous migration strategy (AAMS) is designed for the swarms to communicate with each other. the PPSO benefits from the following two aspects. First, the PPSO divides the search space and each swarm can focus on optimizing a smaller scale problem. this reduces the problem complexity and makes the algorithm promising in dealing with large scale problems. Second, the AAMS makes the migration adapt to the search environment and results in a very timing and efficient communication fashion. Experiments based on benchmark functions have demonstrated the good performance of the PPSO with AAMS oil both solution accuracy and convergence speed when compared with the traditional serial PSO (SPSO) and the PPSO with fixed migration frequency.

关键词： Particle swarm optimization (PSO) adaptive asynchronous migration strategy parallel particle swarm optimization (PPSO) solution accuracy convergence speed

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Speedup Analysis of Data-parallel Applications on Multi-core NoCs

Speedup Analysis of Data-parallel Applications on Multi-core...

引用

IEEE 8th international conference on ASIC

作者： Chen, Xiaowen Lu, Zhonghai Jantsch, Axel Chen, Shuming Natl Univ Def Technol Sch Comp Sci Inst Microelect Changsha 410073 Hunan Peoples R China Royal Inst Technol Dept Elect Comp & Software Syst SE-10044 Stockholm Sweden

ISBN: (纸本)9781424438686

As more computing cores are integrated onto a single chip, the effect of network communication latency is becoming more and more significant on Multi-core Network-on-Chips (NoCs). For data-parallel applications, we study the model of parallel speedup by including network communication latency in Amdahl's law. the speedup analysis considers the effect of network topology, network size, traffic model and computation/communication ratio. We also study the speedup efficiency. In our Multi-core NoC platform, a real data-parallel application, i.e. matrix multiplication, is used to validate the analysis. Our theoretical analysis and the application results show that the speedup improvement is nonlinear and the speedup efficiency decreases as the system size is scaled up. Such analysis can be used to guide architects and programmers to improve parallel processing efficiency by reducing network latency with optimized network design and increasing computation proportion in the program.

关键词： speedup communication multi-core NoC

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Wavelet-Based Adaptive Solvers on Multi-core architectures for the Simulation of Complex Systems

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15th international Euro-Par conference on parallel Computing

作者： Rossinelli, Diego Bergdorf, Michael Hejazialhosseini, Babak Koumoutsakos, Petros Swiss Fed Inst Technol Chair Computat Sci CH-8092 Zurich Switzerland

ISBN: (纸本)9783642038686

We build wavelet-based adaptive numerical methods for the simulation of advection dominated flows that develop multiple spatial scales, with an emphasis on fluid mechanics problems. Wavelet based adaptivity is inherently sequential and in this work we demonstrate that these numerical methods can be implemented in software that is capable of harnessing the capabilities of multi-core architectures while maintaining their computational efficiency. Recent designs in frameworks for multi-core software development allow us to rethink parallelism as task-based, where parallel tasks are specified and automatically mapped into physical threads. this way of exposing parallelism enables the parallelization of algorithms that were considered inherently sequential, such as wavelet-based adaptive simulations. In this paper we present a framework that combines wavelet-based adaptivity with the task-based parallelism. We demonstrate good scaling performance obtained by simulating diverse physical systems on different multi-core and SMP architectures using up to 16 cores.

关键词： Computational efficiency

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Peer-to-peer Estimation over Wireless Sensor Networks via Lipschitz Optimization

Peer-to-peer Estimation over Wireless Sensor Networks via Li...

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8th international Symposium on Information processing Sensor Networks

作者： Fischione, Carlo Speranzon, Alberto Johansson, Karl Henrik Sangiovanni-Vincentelli, Alberto Royal Inst Technol ACCESS Linnaeus Ctr S-10044 Stockholm Sweden United Technol Res Ctr E Hartford CT 06108 USA Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (纸本)9781424451081

Motivated by a peer-to-peer estimation algorithm in which adaptive weights are optimized to minimize the estimation error variance, we formulate and solve a novel non-convex Lipschitz optimization problem that guarantees global stability of a large class of peer-to-peer consensus-based algorithms for wireless sensor network. Because of packet. losses, the solution of this optimization problem cannot be achieved efficiently with either traditional centralized methods or distributed Lagrangian message passing. the prove that the optimal solution can be obtained by solving a set of nonlinear equations. A fast distributed algorithm, which requires only local computations, is presented for solving these equations. Analysis and computer simulations illustrate the algorithm and its application to various network topologies.

关键词： Lipschitz Optimization parallel and Distributed Computation Wireless Sensor Networks Distributed Estimation

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A paralleled Large-Scale Astronomical Cross-Matching Function

引用

9th international conference on algorithms and architectures for parallel processing

作者： Zhao, Qing Sun, Jizhou Yu, Ce Cui, Chenzhou Lv, Liqiang Xiao, Jian Tianjin Univ Sch Comp Sci & Technol Tianjin 300072 Peoples R China Chinese Acad Sci Natl Astron Observ Beijing 100012 Peoples R China

ISBN: (纸本)9783642030949

Multi-wavelength data cross-match among multiple catalogs is a basic and unavoidable step to make distributed digital archives accessible and inter-operable. As current catalogs often contain millions or billions objects, it is a typical data-intensive computation problem. In this paper, a high-efficient parallel approach of astronomical cross-match is introduced. We issue our partitioning and parallelization approach, after that we address some problems introduced by task partition and give the solutions correspondingly, including a sky splitting function HEALPix we selected which play a key role on both the task partitioning and the database indexing, and a quick bit-operation algorithm we advanced to resolve the block-edge problem. Our experiments prove that the function has a marked performance superiority comparing with the previous functions and is fully applicable to large-scale cross-match.

关键词： Cross-Match parallel HEALPix Large-Scale Bit-Operation

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High Performance Global Illumination on Multi-core architectures

High Performance Global Illumination on Multi-core Architect...

引用

17th Euromicro international conference on parallel, Distributed and Network-Based processing

作者： Padron, Emilio J. Amor, Margarita Doallo, Ramon Boo, Montserrat Univ A Coruna Dept Elect & Syst E-15071 La Coruna Spain Univ Santiago de Compostela Dept Elect & Comp Engn E-15782 Santiago De Compostela Spain

ISBN: (纸本)9780769535449

Physically-based illumination is an essential factor for realistic rendering. In this context, hierarchical radiosity is one of the most accurate global illumination methods. One of the key features of the radiosity approach is that it obtains view-independent global illumination results. Unfortunately, global illumination has high computational and memory requirements, and hierarchical radiosity, though more efficient than other radiosity solutions, is not an exception. the progressive popularization of multiprocessor and multi-core processor systems makes the design and implementation of efficient parallel algorithms an appealing alternative in this field. In this paper we present a novel parallel radiosity method addressing the hierarchical radiosity computation on current homogeneous multi-core environments. One of the main contributions of our work is the use of different tasks to exploit the independent interactions among the geometric elements in the scene. Our parallel solution leads to a versatile radiosity implementation that takes advantage of the multiple computational resources in the system, such as multi-core processors and SMT (Simultaneous Multithreading) capabilities. Good results in terms of performance have been achieved.

关键词： Multitasking

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Privacy as a Service: Privacy-Aware Data Storage and processing in Cloud Computing architectures

Privacy as a Service: Privacy-Aware Data Storage and Process...

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8th IEEE international conference on Dependable, Autonomic and Secure Computing

作者： Itani, Wassim Kayssi, Ayman Chehab, Ali Amer Univ Beirut Dept Elect & Comp Engn Beirut 11072020 Lebanon

ISBN: (纸本)9780769539294

In this paper we present PasS (Privacy as a Service);a set of security protocols for ensuring the privacy and legal compliance of customer data in cloud computing architectures. PasS allows for the secure storage and processing of users' confidential data by leveraging the tamper-proof capabilities of cryptographic coprocessors. Using tamper-proof facilities provides a secure execution domain in the computing cloud that is physically and logically protected from unauthorized access. PasS central design goal is to maximize users' control in managing the various aspects related to the privacy of sensitive data. this is achieved by implementing user-configurable software protection and data privacy mechanisms. Moreover, PasS provides a privacy feedback process which informs users of the different privacy operations applied on their data and makes them aware of any potential risks that may jeopardize the confidentiality of their sensitive information. To the best of our knowledge, PasS is the first practical cloud computing privacy solution that utilizes previous research on cryptographic coprocessors to solve the problem of securely processing sensitive data in cloud computing infrastructures.

关键词： privacy cloud computing cryptographic coprocessors security

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