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1.
The primary goal of cloth simulation is to express object behavior in a realistic manner and achieve real-time performance by following the fundamental concept of physic. In general, the mass–spring system is applied to real-time cloth simulation with three types of springs. However, hard spring cloth simulation using the mass–spring system requires a small integration time-step in order to use a large stiffness coefficient. Furthermore, to obtain stable behavior, constraint enforcement is used instead of maintenance of the force of each spring. Constraint force computation involves a large sparse linear solving operation. Due to the large computation, we implement a cloth simulation using adaptive constraint activation and deactivation techniques that involve the mass–spring system and constraint enforcement method to prevent excessive elongation of cloth. At the same time, when the length of the spring is stretched or compressed over a defined threshold, adaptive constraint activation and deactivation method deactivates the spring and generate the implicit constraint. Traditional method that uses a serial process of the Central Processing Unit (CPU) to solve the system in every frame cannot handle the complex structure of clothmodel in real-time. Our simulation utilizes the Graphic Processing Unit (GPU) parallel processing with compute shader in OpenGL Shading Language (GLSL) to solve the system effectively. In this paper, we design and implement parallel method for cloth simulation, and experiment on the performance and behavior comparison of the mass–spring system, constraint enforcement, and adaptive constraint activation and deactivation techniques the using GPU-based parallel method.  相似文献   
2.
The cryo-electron microscopy (cryo-EM) is one of the most powerful technologies available today for structural biology. The RELION (Regularized Likelihood Optimization) implements a Bayesian algorithm for cryo-EM structure determination, which is one of the most widely used software in this field. Many researchers have devoted effort to improve the performance of RELION to satisfy the analysis for the ever-increasing volume of datasets. In this paper, we focus on performance analysis of the most time-consuming computation steps in RELION and identify their performance bottlenecks for specific optimizations. We propose several performance optimization strategies to improve the overall performance of RELION, including optimization of expectation step, parallelization of maximization step, accelerating the computation of symmetries, and memory affinity optimization. The experiment results show that our proposed optimizations achieve significant speedups of RELION across representative datasets. In addition, we perform roofline model analysis to understand the effectiveness of our optimizations.  相似文献   
3.
面向未来任务日益多样化,试验环境日趋复杂化,传统基于FPGA 的脉冲编码调制/调频(pulse code modulation/frequency modulation,PCM/FM)遥测系统存在软硬件紧耦合、研发周期长、升级维护困难等缺点,无法 满足未来遥测系统大规模部署对弹性、灵活和敏捷的需求。针对以上问题,设计基于GPU 的PCM/FM 信号非相干 鉴频解调实现方法。根据算法原理和GPU 并行方法设计出基于GPU 的并行解调实现方法,分别从并行数字下变频、 并行FIR 滤波和并行差分鉴频3 部分分析具体模块的并行化实现方法。实验结果表明:在码速率为10 Mbps、每处 理1 s 数据的条件下,基于GPU 的非相干鉴频过程消耗的时间约为426.867 ms,满足解调的实时性要求;解调增益 稍优于传统基于FPGA 的PCM/FM 遥测基带,有约0.1 dB 的解调增益。  相似文献   
4.
网格重排序是提升流体力学CPU和GPU并行计算效率的重要手段之一。对于非结构网格,由于其数据存储无规律,数据的间接访问会导致访存延迟,尤其是在GPU并行计算时,数据的间接访问将引起内存的非对齐访问,放大了访存延迟的影响。对此,采用Reverse Cuthill-Mckee网格重排序方法优化了非结构网格的数据局部性,并设计了一种面向编号重排序方法。算例测试表明,网格重排序不影响最终计算结果。对比分析了网格重排序对非结构求解器在CPU和GPU上的性能影响:对CPU计算,可以使部分热点函数运行时间降低约20%,整体运行时间降低15%~20%;对GPU计算,大部分热点函数运行时间可降低35%~60%,程序整体运行时间降低约40%。  相似文献   
5.
A real-time magnetic island reconstruction(MIR) system based on PCI express platform for HL-2 A tokamak is introduced. The front-end analog circuit and high performance analog-to-digital converters complete high-precision synchronous sampling of 18 channel Mirnov signals, and the application of PCIe platform and direct memory access technology enables high speed data transmission between graphics processing unit and field programmable gate array(FPGA).FPGA, as a mainstream high speed parallelizable computing tool, was used to implement the MIR algorithm, while a parameter table is established in an external double data rate SDRAM to improve the computational efficiency. The software of the MIR system is developed with Compute Unified Device Architecture 8.0 in Centos 6 system, which mainly realizes driver development, data transmission, network communication, parameter calculation and system control. This system has been tested in HL-2 A plasma discharge experiment, and the reconstructed magnetic island structure can achieve a spatial resolution of 1.02 cm while the time resolution can reach 2 ms.  相似文献   
6.
相似性连接技术在数据清洗、数据集成等领域中具有重要意义,近年来引起了学术界的广泛关注.随着数据量的不断增大、数据处理实时性的要求逐渐提高以及处理器性能提升瓶颈的出现,传统的串行相似性连接方法已经不能满足当前大数据处理的需求.近些年,GPU作为协处理器在机器学习等领域取得了良好的加速效果,因此基于GPU的并行算法开始成为解决各类性能问题的有效解决方案.为此,提出了基于CPU-GPU异构体系的并行相似性连接方法.首先,方法使用GPU构建倒排索引,索引采用SoA(struct of arrays)结构,从而解决了传统索引结构在并行模式下读写效率低的问题.其次,针对串行算法的性能问题,提出基于过滤验证框架的并行双重长度过滤算法,其中利用前缀过滤和构建好的倒排索引提升过滤效果.方法中相似度精确计算验证过程使用CPU计算执行,从而充分利用CPU-GPU的异构计算资源.最后,在多个数据集上进行实验验证性能.通过与串行相似性连接算法进行对比,实验结果表明所提出方法相对于已有方法具有更好的过滤效果和更低的索引生成代价,并在相似性连接上具有更好的性能和良好的加速比.  相似文献   
7.
Hash tables, as a type of data indexing structure that provides efficient data access based on key values, are widely used in various computer applications, especially in system software, databases, and high-performance computing field that requires extremely high performance. In network, cloud computing and IoT services, hash tables have become the core system components of cache systems. However, with the large-scale increase in the amount of large-scale data, performance bottlenecks have gradually emerged in systems designed with a multi-core CPU as the core of the hash table structure. There is an urgent need to further improve the high performance and scalability of the hash tables. With the increasing popularity of general-purpose Graphic Processing Units (GPUs) and the substantial improvement of hardware computing capabilities and concurrency performance, various types of system software tasks with parallel computing as the core have been optimized on the GPU and have achieved considerable performance promotion. Due to the sparseness and randomness, using the existing parallel structure of the hash tables directly on the GPUs will inevitably bring high-frequency memory access and frequent bus data transmission, which affects the performance of the hash tables on the GPUs. This study focuses on the analysis of memory access, hit ratio, and index overhead of hash table indexes in the cache system. A hybrid access cache indexing framework CCHT (Cache Cuckoo Hash Table) adapted to GPU is proposed and provided. The cache strategy suitable to different requirements of hit ratios and index overheads allows concurrent execution of write and query operations, maximizing the use of the computing performance and concurrency characteristics of GPU hardware, reducing memory access and bus transferring overhead. Through GPU hardware implementation and experimental verification, CCHT has better performance than other cache indexing hash tables while ensuring cache hit ratios.  相似文献   
8.
随着中国电网省地一体化和输配一体化的不断发展,电力系统计算的维度越来越高.状态估计作为电力系统态势感知中的基础环节,需要保证其实时性,而加权最小二乘法是电力系统运用最广泛的状态估计方法.为此,针对加权最小二乘法在牛顿迭代过程中矩阵乘法和线性方程组求解耗时较长的特点,根据Krylov子空间方法中共轭梯度法的思想,设计了一种基于预处理共轭梯度迭代法的电力系统状态估计算法.该方法采用不完全LU分解法对原始线性方程组进行预处理,并采用图形处理器(GPU)并行加速技术对矩阵乘法、线性方程预处理和共轭梯度法迭代进行加速.算例分析表明了文中方法加速效果明显,内存和显存占用较低,经过不完全LU分解法预处理的线性方程组迭代次数少,能够满足大规模电力系统状态估计的实时性要求.  相似文献   
9.
针对飞行仿真中大地形数据量大、细节丰富导致的渲染负载重、帧率不稳定问题,提出一种基于细分着色的地形建模方法。该方法以几何裁剪图为框架构建视点相关的多分辨率地形结构。首先,在CPU中生成若干个细分控制点并存入顶点缓存。每层几何裁剪图根据顶点缓存中的细分控制点在索引缓存中生成能够表示几何裁剪图结构框架和状态的索引点,经CPU传至GPU。其次,在GPU读取索引点后通过细分着色器生成自适应三角形面片。在渲染循环的更新阶段,仅需对几何裁剪图的变化区域进行索引点替换,可完成几何裁剪图的状态切换。最后,按照自内向外的顺序,依次对每层(最内层除外)几何裁剪图的内侧边(与下一层的共享边)进行增加细分着色控制点的操作,从而增加内侧边三角形面片,使其与内层几何裁剪图相对应,消除几何裁剪图相邻层次间因分辨率不同引起的“裂缝”现象。实验证明,该方法能充分利用显卡硬件的最新特性,在实时渲染中减少CPU向GPU传输的顶点数量,使渲染负载相对平衡,提升渲染效率和地形实时漫游的帧率稳定性,并提供一种简单有效的“裂缝”消除方法,在保证大地形细节真实程度的同时,满足飞行仿真中对大地形绘制实时性与稳定性的要求。  相似文献   
10.
A GPU-based discrete element method (DEM) with bonded particles is investigated to simulate the mechanical properties of sea ice in uniaxial compressive and three-point bending tests. Both the uniaxial compressive strength and flexural strength of sea ice are related to the microparameters in DEM simulation including particle size, sample size, bonding strength, and interparticle friction coefficient. These parameters are analyzed to build the relationship between the material macrostrengths of sea ice and the microparameters of the numerical model in DEM simulations. Based on this relationship, the reasonable microparameters can be calculated by given macrostrengths in the applications of simulating the failure processes of sea ice. In this simulation, both uniaxial compressive strength and flexural strength of ice increase with the increasing ratio of sample size and particle size. The interparticle friction coefficient is directly related to the compressive strength but has little effect on the flexural strength. In addition, numerical simulations are compared with experimental data to show the performance of the proposed model, and a satisfactory agreement is achieved. Therefore, this microparameter validation approach based on macrostrengths can be applied to simulate the complicated failure process of sea ice interacting with offshore platform structures.  相似文献   
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