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memory access optimization for particle operations in computational fluid dynamics-discrete element method simulations

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Particuology 2023年第7期78卷 97-110页

作者： Deepthi Vaidhynathan Hariswaran Sitaraman Ray Grout Thomas Hauser Christine M.Hrenya Jordan Musser Computational Science Center National Renewable Energy LaboratoryUnited States Research Computing University of ColoradoBoulderUnited States Chemical and Biological Engineering University of ColoradoBoulderUnited States Computational Science and Engineering National Energy Technology LaboratoryUnited States

Computational Fluid Dynamics-Discrete Element Method is used to model gas-solid systems in several applications in energy,pharmaceutical and petrochemical *** performance bot-tlenecks often limit the problem sizes that can be simulated at industrial *** data structures used to store several millions of particles in such large-scale simulations have a large memory footprint that does not fit into the processor cache hierarchies on current high-performance-computing platforms,leading to reduced computational *** paper specifically addresses this aspect of memory access bottlenecks in industrial scale *** use of space-flling curves to improve memory access patterns is described and their impact on computational performance is quantified in both shared and distributed memory parallelization *** Morton space flling curve applied to uniform grids and k-dimensional tree partitions are used to reorder the particle data-structure thus improving spatial and temporal locality in *** performance impact of these techniques when applied to two benchmark problems,namely the homogeneous-cooling-system and a fluidized-bed,are *** optimization techniques lead to approximately two-fold performance improvement in particle focused operations such as neighbor-list creation and data-exchange,with~1.5 times overall improvement in a fluidization simulation with 1.27 million particles.

关键词： CFD-DEM memory access optimization Spatial reordering Performance optimization

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memory access optimization of Molecular Dynamics Simulation Software Crystal-MD on Sunway Taihu Light

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Tsinghua Science and Technology 2021年第3期26卷 296-308页

作者： Jianjiang Li Jie Lin Panpan Du Kai Zhang Jie Wu Department of Computer Science and Technology University of Science and Technology BeijingBeijing 100083China Dawning Information Industry Co. Ltd.Tianjin 300384China Beijing Sogou Technology Development Co. Ltd.Beijing 100084China Department of Computer and Information Sciences Temple UniversityPhiladelphiaPA 19122USA

The radiation damage effect of key structural materials is one of the main research subjects of the numerical *** the perspective of experimental safety and feasibility,Molecular Dynamics(MD)in the materials field is an ideal method for simulating the radiation damage of structural *** Crystal-MD represents a massive parallel MD simulation software based on the key material characteristics of *** with the Large-scale Atomic/Molecurlar Massively Parallel Simulator(LAMMPS)and ITAP Molecular Dynamics(IMD)software,the Crystal-MD reduces the memory required for software operation to a certain extent,but it is very ***,the calculation results of the Crystal-MD have large deviations,and there are also some problems,such as memory limitation and frequent communication during its migration and *** this paper,in order to solve the above problems,the memory access mode of the Crystal-MD software is *** on the memory access mode,a memory access optimization strategy is proposed for a unique architecture of China’s supercomputer Sunway Taihu *** proposed optimization strategy is verified by the experiments,and experimental results show that the running speed of the Crystal-MD is increased significantly by using the proposed optimization strategy.

关键词： molecular dynamics simulation Crystal-MD Sunway Taihu Light memory access optimization

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Research on optimization of virtual machine memory access based on NUMA architecture

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High Technology Letters 2021年第4期27卷 347-356页

作者： He Mujun Zheng Linjiang Yang Kai Liu Runfeng Liu Weining College of Computer Science Chongqing UniversityChongqing 400044P.R.China Dawning Information Industry Co. Ltd.Beijing 100084P.R.China

With the rapid development of big data and artificial intelligence(AI),the cloud platform architecture system is constantly developing,optimizing,and *** such,new applications,like deep computing and high-performance computing,require enhanced computing *** meet this requirement,a non-uniform memory access(NUMA)configuration method is proposed for the cloud computing system according to the affinity,adaptability,and availability of the NUMA architecture processor *** proposed method is verified based on the test environment of a domestic central processing unit(CPU).

关键词： cloud computing virtualization non-uniform memory access(NUMA)virtual machine memory access optimization

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