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

共 526 条记录，以下是401-410 订阅

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A case study of SWIM: Optimization of memory intensive application on GPGPU

A case study of SWIM: Optimization of memory intensive appli...

引用

International Symposium on parallel Architectures, Algorithms, and Programming

作者： Yi, Wei Tang, Yuhua Wang, Guibin Fang, Xudong National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769543123

Recently, GPGPU has been adopted well in the High Performance Computing (HPC) field. The limited global memory bandwidth poses a great challenge to many GPGPU programmers trying to exploit parallelism within the CPUGPU heterogeneous platform. In this paper, we choose SWIM, a typical memory intensive application from the SPEC OMP 2001 benchmark suite, for case study. We attempt to optimize the performance and energy consumption of the application utilizing different memory access mechanisms and present optimization methods including matrix transposition and kernel fusion. The experimental results on the Intel CoreTM i920 CPU plus GeForce GTX 295 platform shows that, the proposed optimizing methods achieve a speedup of 8.7X over the original OpenMP program and reduce the energy consumption by 83% for the problem size of 2048*2048. © 2010 IEEE.

关键词： Energy utilization

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Optimizing adaptive synchronization in parallel simulators for large-scale parallel systems and applications

Optimizing adaptive synchronization in parallel simulators f...

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10th IEEE International Conference on computer and Information technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Xu, Chuanfu Che, Yonggang Fang, Jianbin Wang, Zhenghua National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769541082

This paper addresses the optimization of parallel simulators for large-scale parallel systems and applications. Such simulators are often based on parallel discrete event simulation with conservative or optimistic protocols to synchronize the simulating processes. The paper considers how available future information about events and application behaviors can be efficiently extracted and further exploited to improve the performance of adaptive optimistic protocols. First, we extract information about future events and their dependencies in application traces to guide adaptive adjustments of time window in trace-driven parallel simulation. Second, we use information about application behaviors, specifically the iterative behavior found in many applications, to avoid the unnecessary adjustments of time window. These techniques are implemented in the BigSim simulator and tested by real-world and standard benchmark applications including Jacobi3D and HPL. The results show that our optimization approaches can reduce the execution times of simulation ranging from 11% up to 32%. Moreover, our methods are easy to implement and don't need to augment compilers or even modify the core codes of parallel simulators. © 2010 IEEE.

关键词： Simulators

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Effect of self and cross-coupling capacitance on stability diagram in a metallic double-dot device

Effect of self and cross-coupling capacitance on stability d...

引用

2010 3rd International Conference on Nanoscience and Nanotechnology, ICONN 2010

作者： Sui, Bingcai Fang, Liang Chi, Yaqing National Laboratory of Parallel and Distributed Processing School of Computer National University of Defense Technology Hunan 410073 China

ISBN: (纸本)9781424452620

We investigate the effect of self and cross-coupling capacitance on stability diagram in a metallic double-dot device by theory and method. In linear transport regime, cross-coupling capacitances affect the dimension of the honeycomb cell and the distance of two triple points, while self capacitances only slightly broaden the boundary of the cell and make two triple point closer. In nonlinear transport regime, cross-coupling capacitances stretch the current region and charge region in the mid-line direction, while self capacitances extend the region of current regions but not change the shape of the stability cells. Cross-coupling capacitances make stronger impact on the dimensions of stability diagram than self capacitance. But the self-capacitance must be included in the current calculation if its value can not be neglected with respect to the device parameters. © 2010 IEEE.

关键词： Stability

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Power-efficientwork distribution method for CPU-GPU heterogeneous system

Power-efficientwork distribution method for CPU-GPU heteroge...

引用

IEEE International Symposium on parallel and distributed processing With Applications

作者： Wang, Guibin Ren, Xiaoguang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9780769541907

As the system scales up continuously, the problem of power consumption for high performance computing (HPC) system becomes more severe. Heterogeneous system integrating two or more kinds of processors, could be better adapted to heterogeneity in applications and provide much higher energy efficiency in theory. Many studies have shown heterogeneous system is preferable on energy consumption to homogeneous system in a multi-programmed computing environment. However, how to exploit energy efficiency (Flops/Watt) of heterogeneous system for a single application or even for a single phase in an application has not been well studied. This paper proposes a power-efficient work distribution method for single application on a CPU-GPU heterogeneous system. The proposed method could coordinate inter-processor work distribution and per-processor's frequency scaling to minimize energy consumption under a given scheduling length constraint. We conduct our experiment on a real system, which equips with a multi-core CPU and a multi-threaded GPU. Experimental results show that, with reasonably distributing work over CPU and GPU, the method achieves 14% reduction in energy consumption than static mappings for several typical benchmarks. We also demonstrate that our method could adapt to changes in scheduling length constraint and hardware configurations. © 2010 IEEE.

关键词： Graphics processing unit

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Communication time models on fat-tree networks

Communication time models on fat-tree networks

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2010 3rd International Conference on Advanced computer Theory and Engineering, ICACTE 2010

作者： Lin, Yufei Xu, Xinhai Lin, Yisong National Laboratory for Parallel and Distributed Processing Computer School National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781424465408

With the growth of supercomputer's scale, the communication time during executing is increasing. This phenomenon arouses the architecture researchers' interests. In this paper, based on the fat-tree topology, which is widely used in Infiniband, we present an one-to-all broadcast communication time model. After classifying applications into two kinds, we establish the ideal model and the bandwidth-limited model on the exponential-capacity binary fat-trees for the two kinds of applications. Through analyzing the models, we get the curves which describe the relationship between the communication time and the processor number. The conclusions we get in this paper can help system designers make better system design. © 2010 IEEE.

关键词： Supercomputers

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Towards online application cache behaviors identification in CMPs

Towards online application cache behaviors identification in...

引用

IEEE International Conference on High Performance Computing and Communication

作者： Jia, Xiaomin Jiang, Jiang Zhao, Tianlei Qi, Shubo Zhang, Minxuan National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769542140

On chip multiprocessors (CMPs) platforms, multiple co-scheduled applications can severely degrade performance and quality of service (QoS) when they contend for last-level cache (LLC) resources. Whether an application will impose destructive interference on co-scheduled applications is largely dependent on its own inherent cache access behavior characteristics. In this work, we first present case studies that show how inter-application interferences result in undesirable performance in both shared and private cache based LLC designs. We then propose a new online approach for application cache behavior identification on the basis of detailed simulation and analysis with SPEC CPU2006 benchmarks. We demonstrate that our approach can more concisely identify application cache behaviors. Moreover, the proposed approach can be implemented directly in hardware to dynamically identify the application cache behaviors at runtime. Finally, we show with two case studies that how the proposed approach can be adopted by both shared and private based cache sharing mechanisms, i.e. cache partitioning algorithms (CPAs) and cache spilling techniques, for more concise cache resource management. © 2010 IEEE.

关键词： Quality of service

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Communication delay analysis based on network calculus

Communication delay analysis based on network calculus

引用

2010 2nd International Conference on Software technology and Engineering, ICSTE 2010

作者： Lin, Yufei Xu, Xinhai Lin, Yisong National Laboratory for Parallel and Distributed Processing Computer School National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781424486656

Network calculus is a promising theory for analyzing and modeling networks based on min-plus algebra. Using network calculus theory, we propose formulas of arrival curve and service curve for end-to-end communication, build the corresponding time model, and derive the communication delay formulas for two scenarios of the model respectively. Then we take fat tree topology, which is widely used in Infiniband interconnection, as an example to analyze the delay of one-to-all broadcast. This paper, as a groundwork, provides a new approach for the network researchers to delve communication delay in future researches. © 2010 IEEE.

关键词： Calculations

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Kernel fusion: An effective method for better power efficiency on multithreaded GPU

Kernel fusion: An effective method for better power efficien...

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2010 IEEE/ACM International Conference on Green Computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, CPSCom 2010

作者： Wang, Guibin Lin, YiSong Yi, Wei National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9780769543314

As one of the most popular accelerators, Graphics processing Unit (GPU) has demonstrated high computing power in several application fields. On the other hand, GPU also produces high power consumption and has been one of the most largest power consumers in desktop and supercomputer systems. However, software power optimization method targeted for GPU has not been well studied. In this work, we propose kernel fusion method to reduce energy consumption and improve power efficiency on GPU architecture. Through fusing two or more independent kernels, kernel fusion method achieves higher utilization and much more balanced demand for hardware resources, which provides much more potential for power optimization, such as dynamic voltage and frequency scaling (DVFS). Basing on the CUDA programming model, this paper also gives several different fusion methods targeted for different situations. In order to make judicious fusion strategy, we deduce the process of fusing multiple independent kernels as a dynamic programming problem, which could be well solved with many existing tools and be simply embedded into compiler or runtime system. To reduce the overhead introduced by kernel fusion, we also propose effective method to reduce the usage of shared memory and coordinate the thread space of the kernels to be fused. Detailed experimental evaluation validates that the proposed kernel fusion method could reduce energy consumption without performance loss for several typical kernels. © 2010 IEEE.

关键词： Graphics processing unit

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SemanticCast: Content-based data distribution over self-organizing semantic overlay networks

SemanticCast: Content-based data distribution over self-orga...

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11th International Conference on parallel and distributed Computing, Applications and Technologies, PDCAT 2010

作者： Zheng, Zhong Wang, Yijie National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769542874

Many applications demand distributing data with different contents efficiently in the network environment with unreliable links and a high node churn. Existing approaches mostly focus on optimizing either efficiency or robustness of data distribution, and fail to ensure both of them simultaneously. In this paper, we propose SemanticCast - a content-based data distribution approach over self-organizing semantic overlay networks. SemanticCast maintains a self-organizing semantic overlay based on view exchange (called Crowd). In Crowd, each node seeks neighbors with more similar interests by periodically exchanging its neighbor list (called view) with a chosen neighbor. Through these nodes' self-organizing behavior, various interest communities emerge in the overlay. For data distribution over Crowd, SemanticCast adopts random walk to route data between interest communities, and adopts flooding to disseminate data inside the interested communities. The experimental results show that compared to existing approaches, SemanticCast can support efficient content-based data distribution in the unreliable and highly dynamic network environment. © 2010 IEEE.

关键词： Semantics

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CANSE: A churn adaptive approach to network size estimation

CANSE: A churn adaptive approach to network size estimation

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16th IEEE International Conference on parallel and distributed Systems, ICPADS 2010

作者： Ma, Xing-Kong Wang, Yi-Jie Zheng, Zhong National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769543079

Network size is one of the fundamental information of distributed applications. The approach to estimate network size must feature both high accuracy and robustness in order to adapt to the dynamic environment in different topologies. However, existing approaches fail to guarantee accuracy and robustness simultaneously in dynamic topologies due to the randomness of nodes sampled. In this paper, we propose a churn adaptive approach to network size estimation - CANSE, which collects closest nodes in identification to each node's identification by sampling nodes periodically. Each node collects closest identifications by two schemes. One scheme is sampling random nodes from random walks along the topology. The other one is exchanging the closest identifications with other nodes. Finally, each node calculates the average spacing of the closest identifications collected to estimate network size. Compared with existing approaches, extensive experiments show that CANSE provides accurate estimation values quickly in various dynamic topologies. © 2010 IEEE.

关键词： Topology

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