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检索条件"机构=National Key Laboratory for Parallel and Distributed Processing"

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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 (PAAP)

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

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 CPU-GPU 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 Core TM 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.

关键词： Instruction sets Kernel Bandwidth Graphics processing unit Memory management Energy consumption Central processing Unit

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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...

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International Conference on Nanoscience and Nanotechnology, ICONN

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

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.

关键词： Stability analysis Tunneling Couplings Quantum capacitance Shape Junctions

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An Improved Independent Set Ordering Algorithm for Solving Large-scale Sparse Linear Systems

An Improved Independent Set Ordering Algorithm for Solving L...

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2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

作者： Lu Yao Wei Cao Zongzhe Li Yongxian Wang Zhenghua Wang National Key Lab for Parallel and Distributed Processing National Univ.of Defense TechnologyChangshaChina

The independent set ordering algorithm is a heuristic algorithm based on finding maximal independent sets of vertices in the matrix adjacency graph, which is commonly used for parallel matrix factorization. However, Disadvantages appear when it is applied to large-scale sparse linear systems. In this paper, we propose an improved algorithm by finding an optimal size of independent set in each elimination step rather than find a maximal independent set, which is proved to be effective by both theoretical analysis and parallel implementation.

关键词： independent set parallel LU decomposition large-scale sparse linear systems matrix ordering

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Communication delay analysis based on network calculus

Communication delay analysis based on network calculus

引用

International Conference on Software Technology and Engineering (ICSTE)

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

ISBN: (纸本)9781424486670

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.

关键词： Delay Calculus Bandwidth Algebra Computational modeling Topology Analytical models

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Power analysis and optimizations for GPU architecture using a power simulator

Power analysis and optimizations for GPU architecture using ...

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International Conference on Advanced Computer Theory and Engineering, ICACTE

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

ISBN: (纸本)9781424465392

As one of the most popular many-core architecture, GPUs have illustrated power in many non-graphic applications. Traditional general purpose computing systems tend to integrate GPU as the co-processor to accelerate parallel computing tasks. Meanwhile, GPUs also result in high power consumption, which accounts for a large proportion of the total system power consumption. In this paper, we mainly focus on the power analysis and optimizations for GPU architecture. The main contributions of this paper are: firstly, we establish a GPU power research platform, which is extended from an existing GPU simulator with several power models; secondly, we validate that, as the gap between shader core and memory speed becomes larger and larger, integrating more shader cores or enhancing running frequencies may not bring better performance, but results in higher energy consumption; thirdly, we show that traditional power optimization methods for CPUs, such as dynamic frequency scaling and concurrency-throttling, could be effectively applied on GPU architectures for better power efficiency, especially for memory-intensive applications.

关键词： Computational modeling Benchmark testing Graphics processing unit Arrays Analytical models Clocks Integrated circuit interconnections

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A multithreaded extension to the OR1200 processor

A multithreaded extension to the OR1200 processor

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International Conference on Computer Science and Information Technology (CSIT)

作者： Kun Zeng Fudong Liu National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

Multithreading is a promising technique that widely used in general purpose processors to hide long latency events such as cache misses. This paper proposes an embedded processor design with multithreading support based on the OR1200 processor. The multithreaded OR1200 processor supports interleaved execution of four threads in a round-robin way. The hardware design is evaluated through RTL-simulation of the verilog code. Results show that the interleaved execution of multiple threads can tolerate the memory latency effectively and an average speed-up of 1.16 can be achieved.

关键词： Registers Artificial neural networks Field-flow fractionation Reduced instruction set computing

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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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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

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

ISBN: (纸本)9781424497799

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.

关键词： Kernel Instruction sets Graphics processing unit Energy consumption Hardware Mathematical model Dynamic programming

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Sim-spm: A SimpleScalar-Based Simulator for Multi-level SPM Memory Hierarchy Architecture

Sim-spm: A SimpleScalar-Based Simulator for Multi-level SPM ...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Xiaoguang Ren Yuhua Tang Tao Tang Sen Ye Huiquan Wang Jing Zhou National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

As a fast on-chip SRAM managed by software (the application and/or compiler), Scratchpad Memory (SPM) is widely used in many fields. This paper presents a Simple Scalar-based multi-level SPM memory hierarchy architecture simulator Sim-spm. We simulate the hardware of the multi-level SPM memory hierarchy successfully by extending Sim-outorder, which is an out-of-order simulator from Simple Scalar. Through the simulating memory method, the simulation framework of the multi-level SPM memory hierarchy has been built under the existing ISA (Instruction Set Architecture), which largely reduces the requirement to modify the existing compiler. The experimental results show that Sim-spm can accurately simulate the running state of the processor with a multi-level SPM memory hierarchy architecture, and it has a good prospect for the research of multi-level SPM memory hierarchy architecture.

关键词： Kernel Random access memory Libraries Memory management Memory architecture

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Communication time models on fat-tree networks

Communication time models on fat-tree networks

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International Conference on Advanced Computer Theory and Engineering, ICACTE

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

ISBN: (纸本)9781424465392;9781424465422

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.

关键词： World Wide Web

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Power-Efficient Work Distribution Method for CPU-GPU Heterogeneous System

Power-Efficient Work Distribution Method for CPU-GPU Heterog...

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International Symposium on parallel and distributed processing with Applications, ISPA

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

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.

关键词： Graphics processing unit Energy consumption Power demand Processor scheduling Benchmark testing Power measurement

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