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检索条件"机构=National Laboratory for Parallel and Distributed Processing School of Computer Science"

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Program Optimization of Stencil Based Application on the GPU-Accelerated System

Program Optimization of Stencil Based Application on the GPU...

引用

International Symposium on parallel and distributed processing with Applications, ISPA

作者： Guibin Wang Xuejun Yang Ying Zhang Tao Tang XuDong Fang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

Graphic processing Unit (GPU), with many light-weight data-parallel cores, can provide substantial parallel computational power to accelerate general purpose applications. But the powerful computing capacity could not be fully utilized for memory-intensive applications, which are limited by off-chip memory bandwidth and latency. Stencil computation has abundant parallelism and low computational intensity which make it a useful architectural evaluation benchmark. In this paper, we propose some memory optimizations for a stencil based application mgrid from SPEC 2 K benchmarks. Through exploiting data locality in 3-level memory hierarchies and tuning the thread granularity, we reduce the pressure on the off-chip memory bandwidth. To hide the long off-chip memory access latency, we further prefetch data during computation through double-buffer. In order to fully exploit the CPU-GPU heterogeneous system, we redistribute the computation between these two computing resource. Through all these optimizations, we gain 24.2 x speedup compared to the simple mapping version, and get as high as 34.3 x speedup when compared with a CPU implementation.

关键词： Concurrent computing Application software Acceleration Yarn Delay distributed processing distributed computing Bandwidth parallel processing Prefetching

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Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

Program Optimization of Array-Intensive SPEC2k Benchmarks on...

引用

International Conference on parallel and distributed Systems (ICPADS)

作者： Guibin Wang Tao Tang Xudong Fang Xiaoguang Ren National Laboratory of Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

Graphic processing Unit (GPU), with many light-weight data-parallel cores, can provide substantial parallel computing power to accelerate several general purpose applications. Both the AMD and NVIDIA corps provide their specific high performance GPUs and software platforms. As the floating-point computing capacity increases continually, the problem of ``memory-wall'' becomes more serious, especially for array-intensive applications. In this paper, we optimize and implement two SPEC2k benchmarks mgrid and swim on multithreaded GPU using CUDA and Brook+. In order to reduce the pressure on off-chip memory, we make use of data locality in multi-level memory hierarchies and hide long memory access latency via double-buffers. To balance inter-thread parallelism and intra-thread locality, we further tune thread granularity for each kernel and empirically study the best equilibrium point for this problem. Flow control instruction can significantly impact the effective instruction throughput. Oriented to this problem, we introduce a diverge elimination technology to convert condition expression into computing operation. Through all the optimizations, we gain the speedup of 10×-34× to the CPU implementation on the GPUs of AMD and NVIDIA respectively. Finally, we summarize and compares the GPUs from AMD and NVIDIA in hardware and software.

关键词： parallel processing Application software Graphics Acceleration Software performance Delay Yarn Kernel Throughput Central processing Unit

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SEMCS: A Precise Memory-Hierarchy Simulation Framework on parallel Full-System Simulator

SEMCS: A Precise Memory-Hierarchy Simulation Framework on Pa...

引用

WASE International Conference on Information Engineering, ICIE

作者： Junjie Wu Xiaohui Pan Guanghui Liu Xuejun Yang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

The memory wall problem makes researches on memory hierarchy more and more important. And in these researches, software simulation plays a significant role. To model the real runtime environment, full system simulators have been widely used. However, researchers are often perplexed by the precise problem when they run a parallel program on a full system multi-core simulator, especially in multiple configurations. Because the influence arising from operating system and the relative execution speed of parallel threads often make the performance of target programs uncertain. To solve the precise problem, this paper proposes a single execution multi-configuration simulation framework (SEMCS). Then we design and implement a Simics module, called trans-multicast using the SEMCS framework. Finally, we test a benchmark from SPEComp2001 on a four core processor in three memory hierarchy configurations. And the result has verified the effectiveness of the SEMCS framework.

关键词： Computational modeling Operating systems Testing Read-write memory computer simulation Concurrent computing Yarn Cache memory Laboratories distributed processing

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An Irregular cutting based distributed mapping algorithm for DVE systems

An Irregular cutting based distributed mapping algorithm for...

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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Wei Zhang Hangjun Zhou Yuxing Peng Sikun Li Min Xi National Laboratory of Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China Department of Computer Science Xi'an Jiaotong University Xi'an China

distributed Virtual Environment (DVE) systems have become more and more important both in academic communities and the industries. To guarantee the load constrain, the physical world integrity and the virtual world integrity, the virtual environment should be divided into several parts and mapped to multiple servers, which are located in geographically different places. Many centralized algorithms based on regular cutting method are proposed to solve this problem. However, the dynamic property of clients and distributed property of the system make the existing algorithms unable to undertake it. In this paper, we propose a metric to measure the cutting quality and design a distributed mapping algorithm based on an irregular cutting. Simulation results show that our algorithm greatly decreases the costs of DVE systems for migration of clients and effectively improves the satisfaction degree of users.

关键词： Defense industry Virtual environment computer industry computer science Algorithm design and analysis Delay Partitioning algorithms Industrial training Computational intelligence Application software

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SCQR - A P2P Query Routing Algorithm Based on Semantic Cluster

SCQR - A P2P Query Routing Algorithm Based on Semantic Clust...

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International Symposium on Intelligent Ubiquitous Computing and Education

作者： Shiyao Jin Gui-Ming Zhu School of Computer Science National University of Defense Technology Changsha China National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

The low efficiency and uncertainty routing is correct is a problem for resource location of an unstructured p2p network. It is hard to achieve high query hit with small cost and low latency for such kind of network. In this paper, we present a p2p query routing algorithm which is based on semantic cluster (SCQR). SCQR makes nodes clustered according to their semantic, and each cluster elects a super-node as cluster computing node which is responsible for computing cluster semantic and establishing links with all neighbor cluster computing nodes. Query is routed among cluster computing nodes. SCQR achieves high query hit with small routing latency and query cost in both analytical theoretical and experimental studies.

关键词： Query processing Clustering algorithms Peer to peer computing Routing Delay Costs computer networks Frequency Floods Intelligent networks

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A Multi-agent Simulation of Escape Panic

A Multi-agent Simulation of Escape Panic

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International Joint Conference on Computational sciences and Optimization, CSO

作者： Chuanjun Ren Chenghui Yang Shiyao Jin National Laboratory for Parallel & Distributed Processing College of Computer Science National University of Defense Technology Changsha China National Laboratory for Parallel & Distributed Processinz National University of Defense Technology Changsha China National University of Defense Technology Changsha Hunan CN

The modeling and simulation on evacuation has recently become a topic of great interest. We present an agent-based model to construct crowd evacuations for emergency response from an area under an explosion. Various types of agents are designed as well as the interactions of them are concerned in contrast to traditional models in which the total populations are considered to be consisted of identical individuals and the interactions between them are omitted. Different cases are taken into account to test the effect of our model by iterative simulations. At last, plenty simulation results suggest several effective ways to minimize the harmful consequences of such life-threaten events.

关键词： Explosions Computational modeling computer simulation Testing Accidents Humans Analytical models Concurrent computing distributed computing distributed processing

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An Optimal Mapping Algorithm Based on Balanced Load Cutting for DVE Systems

An Optimal Mapping Algorithm Based on Balanced Load Cutting ...

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International Symposium on Intelligent Information Technology Application, IITA

作者： Wei Zhang Min Xi Hangjun Zhou Yuxing Peng Sikun Li National Laboratory for Parallel and Distributed Processing National University of Defense Technology ChangSha China Department of Computer Science Xi'an Jiaotong University Xi'an China

In distributed virtual environment (DVE) systems, a distributed server infrastructure is often used to reduce the latency between servers and clients. Under this infrastructure, mapping clients to proper servers is one of the key issues for improving the interactivity and overall performance. Most traditional methods of mapping the clients to servers only consider the load balancing problem. However, there are two other important aspects that should be involved: the physical world integrity and the virtual world integrity. In this work, we propose a novel mapping algorithm which takes care of all three aspects at the same time. The algorithm converts the mapping problem into cutting stage and matching stage to get optimal result with polynomial complexity. The experimental results show that our algorithm improves the overall performance of DVE systems significantly.

关键词： Delay Network servers computer science Virtual environment Load management Polynomials Quality of service Information technology Application software distributed processing

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A compact analytical model for multi-island single electron transistors

A compact analytical model for multi-island single electron ...

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International Conference on ASIC

作者： Yaqing Chi Bingcai Sui Liang Fang Hailiang Zhou Haiqing Zhong He Sun National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Hunan China National University of Defense Technology Changsha Hunan CN

Multi-island single electron transistor (SET) has become a promising candidate for the kernel device of the logic circuit in the near future. A novel compact analytical model for multi-island SET is proposed in terms of current. The new approach is based on the orthodox theory of single electron tunnelling and steady-state master equation. The model is accurate and fast compared with SIMON, and suitable for the ASIC design of multi-island SET circuit simulation.

关键词： Analytical models Single electron transistors

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Optimizing Reference Gene Set for Inter-Chip Normalization Using Genetic Algorithm

Optimizing Reference Gene Set for Inter-Chip Normalization U...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Fei Li Wenjian Xu Peng Li XiaoChen Bo Yuxing Peng Department of Computer Science National Laboratory of Parallel & Distributed Processing National University of Defense Technology Changsha China Beijing Institute of Radiation Medicine Beijing China

Due to the existence of systematic bias in the measurements, inter-chip normalization is required before integrated data analysis of multiple microarray datasets. Current inter-chip normalization methods rely on some assumptions, which can rarely be verified by experiments, such as the invariant expression level of housekeeping genes or the stability of statistical data distribution. In this paper, we present a highly verifiable inter-chip normalization method using genetic optimization algorithm, which depends only on a small number of housekeeping genes, and therefore facilitates experimental validation without any accuracy lost.

关键词： Genetic algorithms Gene expression Laboratories Data analysis Optimization methods Genomics Bioinformatics Statistical distributions Probes computer science

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MEASURING THE INFLUENCE OF SOCIAL NETWORKS ON INFORMATION DIFFUSION ON BLOGSPHERES

MEASURING THE INFLUENCE OF SOCIAL NETWORKS ON INFORMATION DI...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： TING WANG JIN-TAO TANG JI WANG School of Computer National University of Defense Technology.Changsha Hunan 410073 P.R.China National Laboratory for Parallel and Distributed Processing ChangSha Hunan 410073 China

As a typical social media in web2.0 era, blogs have become more and more important to information diffusion. Different from the traditional news, the information spread on blogs is primarily driven by users and their relations. According to this phenomenon, this paper addresses the novel problem of measuring the influence of social structures on information diffusion. This paper extracts the hidden communities and information diffusion networks on blogs, and proposes a novel quantitative measurement to investigate the influence of social networks structure on diffusion networks. The proposed methods measure the influence by utilizing a simple but effective graph similarity measuring method. The experiments demonstrate the effectiveness of the proposed algorithms and measurements, and discover the correlation between social networks and the diffusion of the "interest" topics, which indicates the necessity of using social structures for information detection and tracking on blogs.

关键词： Blogs information diffusion social networks graph similarity correlation measurement

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