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SCALABLE AND distributed mathematical modeling ALGORITHM DESIGN AND PERFORMANCE EVALUATION IN HETEROGENEOUS COMPUTING CLUSTERS

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2024年第5期25卷 3812-3821页

作者： Liu, Zhouding Li, Jia NYU Coll Arts & Sci New York NY 10003 USA Univ Sydney Econ Arts & Social Sci City Rd Camperdown NSW 2006 Australia

A growing number of scalable and distributed methods are required to effectively simulate complicated events as computing needs in the research and industrial sectors keep growing. A novel approach for developing and accessing mathematically modeled methods in heterogeneous computing clusters is proposed in this study to meet this difficulty. The suggested methodology uses DRL based Parallel Computational model for the evaluation of Heterogenous computing clusters. The algorithms makes use of parallelization methods to split up the processing burden among several nodes, supporting the variety of topologies seen in contemporary computing clusters. Through the utilization of heterogeneous hardware parts such as CPUs, GPUs, and acceleration devices, the architecture seeks to maximize speed and minimize resource usage. To evaluate the effectiveness of the proposed approach, a comprehensive performance assessment is conducted. The evaluation encompasses scalability analysis, benchmarking, and comparisons against traditional homogeneous computing setups. The research investigates the impact of algorithm design choices on the efficiency and speed achieved in diverse computing environments.

关键词： heterogeneous computing clusters scalability distributed mathematical modeling parallelization methods

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Influence of the spatial discretization degree on the hydrological response of a flatland watershed through distributed mathematical modeling

INGENIERIA HIDRAULICA EN MEXICO

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INGENIERIA HIDRAULICA EN MEXICO 2008年第3期23卷 123-137页

作者： Stenta, Hernan Roberto Riccardi, Gerardo A. Basile, Pedro A. Univ Nacl Rosario Dept Hidraul Fac Ciencias Exactas Ingn & Agrimensura RA-2000 Rosario Santa Fe Argentina Univ Nacl Rosario CURIHAM Fac Ciencias Exactas Ingn & Agrimensura RA-2000 Rosario Santa Fe Argentina

distributed hydrological models are suitable for the determination of time and space variability of hydrological responses within a given watershed. In a watershed, the model can be implemented with different levels of space resolution, mainly as a function of data availability, objectives of the numerical study, and requirements of the system to be modeled. In this paper, the effects on landscape representation due to different cell Sizes are analyzed and scaling of parameters in a lower spatial resolution level is proposed in order to obtain Similarity in hydrological responses between different degrees of discretization. The comparison was made in terms of maximum discharge, maximum flow velocity, and maximum water depth by simulating a number of observed and hypothetical hydrological events. The concept of total equilibrium state of the watershed was used. Under these circumstances, the roughness coefficients associated to overland and stream flow and the storage function of each discretization element were adjusted separately for the lower spatial resolution level. The results show that the similarity in hydrological responses, in terms of maximum water depth, obtained by adjusting the storage function of the cells, is better than that corresponding to the adjustment of roughness coefficients.

关键词： flatland watersheds distributed mathematical modeling cell-size effects

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