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Parallel Distributed Implementation of Truss Optimization on a Local Area Network 认领 引用
1
作者 唐天兵 韦凌云 +1 位作者 严毅 韦日钰 《Journal of Southwest Jiaotong University(English Edition)》 2004年第2期101-106,共6页
A two-level optimization method for the design of complex truss and parallel distributed implementation on a LAN is presented using parallel virtual machine (PVM) for Win 32 as message passing between PCs. The volumes... A two-level optimization method for the design of complex truss and parallel distributed implementation on a LAN is presented using parallel virtual machine (PVM) for Win 32 as message passing between PCs. The volumes of truss are minimized by decomposing the original optimization problem into a number of bar optimization problems executed concurrently and a coordinate optimization problem, subject to constraints on nodal displacements, and stresses, buckling and crippling of bars, etc. The system sensitivity analysis that derives the partial derivatives of displacements and stresses with respect to areas are also performed in parallel so as to shorten the analysis time. The convergence and the speedup performances as well as parallel computing efficiency of the method are investigated by the optimization examples of a 52-bar planar truss and a 3 126-bar three-dimensional truss. The results show that the ideal speedup is obtained in the cases of 2 PCs for the 3 126-bar space truss optimization, while no speedup is observed for the 52-bar truss. It!is concluded that (1) the parallel distributed algorithm proposed is efficient on the PC-based LAN for the coarse-grained large optimization problem; (2) to get a high speedup, the problem granularity should match with the network granularity; and (3) the larger the problem size is, the higher the parallel efficiency is. 展开更多
关键词 Truss PVM Parallel distributed algorithm Optimization
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New Heuristic Distributed Parallel Algorithms for Searching and Planning 认领 引用
2
作者 帅典勋 《Journal of Computer Science & Technology》 SCIE EI 1995年第4期354-374,共21页
This paper proposes new heuristic distributed parallel algorithms for search-ing and planning, which are based on the concepts of wave concurrent prop-agations and competitive activation mechanisms. These algorithms a... This paper proposes new heuristic distributed parallel algorithms for search-ing and planning, which are based on the concepts of wave concurrent prop-agations and competitive activation mechanisms. These algorithms are char-acterized by simplicity and clearness of control strategies for searching, anddistinguished abilities in many aspects, such as high speed processing, widesuitability for searching AND/OR implicit graphs, and ease in hardware imple-mentation. 展开更多
关键词 Heuristic search distributed parallel algorithm implicit AND/OR graph wave concurrent propagation
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A DISTRIBUTED LATTICE BOLTZMANN METHOD 认领 引用
3
作者 Juhua Chen & Yuanxiang Li 《Wuhan University Journal of Natural Sciences》 CAS 1996年第Z1期442-445,共4页
In this paper, an overlapping lattice Boltzmann model is introduced and its domain decomposition method, a distributed lattice Boltzmann method is presented. Parallel effectiveness of some programs based on the distri... In this paper, an overlapping lattice Boltzmann model is introduced and its domain decomposition method, a distributed lattice Boltzmann method is presented. Parallel effectiveness of some programs based on the distributed lattice Boltzmann method are analyzed. 展开更多
关键词 Lattice Boltzmann Method Domain Decomposition Method, Distributed Parallel Algorithm
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Editorial for the special issue on reliability and power efficiency for HPC 认领 引用
4
作者 Jifeng He Chenggang Wu +2 位作者 Huawei Li Yang Guo Tao Li 《CCF Transactions on High Performance Computing》 EI 2021年第1期1-3,共3页
High Performance Computing(HPC)performs more complex tasks with the application of parallel and distributed algorithms than computing on a single node.And HPC continuously advances in traditional domains of science an... High Performance Computing(HPC)performs more complex tasks with the application of parallel and distributed algorithms than computing on a single node.And HPC continuously advances in traditional domains of science and engineering.However,the emergence of novel applications calls for the lower latency of the network,which pushed the horizon of edge computing.Today,the diversity of HPC systems is more extensive,and rapid changes in hardware platforms and program environments increasingly challenge the high concurrency exploitation,hybrid resource management,energy efficiency,performance tuning,scalability and fault-tolerance. 展开更多
关键词 power efficiency parallel distributed algorithms HPC high performance computing hpc performs hardware platforms reliability lower latency edge computingtodaythe
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