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The Memory-Bounded Speedup Model and Its Impacts in computing

Journal of Computer Science & Technology 2023年第1期38卷 64-79页

作者：孙贤和鲁潇阳 Department of Computer Science Illinois Institute of TechnologyChicago 60616U.S.A.

With the surge of big data applications and the worsening of the memory-wall problem,the memory system,instead of the computing unit,becomes the commonly recognized major concern of ***,this“memorycentric”common understanding has a humble *** than three decades ago,the memory-bounded speedup model is the first model recognizing memory as the bound of computing and provided a general bound of speedup and a computing-memory trade-off *** memory-bounded model was well received even by *** was immediately introduced in several advanced computer architecture and parallel computing textbooks in the 1990’s as a must-know for scalable *** include *** Hwang’s book“scalable Parallel computing”in which he introduced the memory-bounded speedup model as the Sun-Ni’s Law,parallel with the Amdahl’s Law and the Gustafson’s *** the years,the impacts of this model have grown far beyond parallel processing and into the fundamental of *** this article,we revisit the memory-bounded speedup model and discuss its progress and impacts in depth to make a unique contribution to this special issue,to stimulate new solutions for big data applications,and to promote data-centric thinking and rethinking.

关键词： memory-bounded speedup scalable computing memory-wall performance modeling and optimization data-centric design

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Improvements and Application of Parallel Tridiagonal Solvers On the Simulation of the Layered Ocean Model

Improvements and Application of Parallel Tridiagonal Solvers...

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第四届海峡两岸计算流体力学学术研讨会

作者： Wu Zhang Department of Computer Science, Shanghai University, Shanghai 200072, P.R.

＜正＞ This paper deals with the improvement and implementation of parallel tridiagonal solvers for simulating the NRL Layered Ocean Model （NLOM）. Based on the Parallel Diagonal Dominant （PDD） algorithm, an efficient and scalable tridiagonal solver, the computational performance of the NLOM is obviously improved, particularly for the case of large number of processors. The tridiagonal solvers of the Burn at Both Sides （BABE）, the PDD, and the hybrid method, a combination of the BABE and the PDD, are considered on the numerical experiments.

关键词： Parallel Tridiagonal Solvers scalable computing Layered Ocean Model.

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