Titlebook: Algorithms and Architectures for Parallel Processing; 15th International C Guojun Wang,Albert Zomaya,Kenli Li Conference proceedings 2015 S

PURG

A Data-Centric Tool to Improve the?Performance of Multithreaded Program on NUMAed on Linux using three benchmark applications, and the evaluation shows how this tool helps to identify costly variables and choose optimization methods. The result shows performance improvement of up?to 51.92?%.

著名

主講人

iPLAR: Towards Interactive Programming with?Parallel Linear Algebra in Re efficiency of iPLAR with representative basic matrix operations and two widely-used machine learning algorithms. Experimental results show that iPLAR achieves the near-linear data scalability and enhances the interactive processing capability of R to large problem scales.

西瓜

A Performance and Scalability Analysis of the MPI Based Tools Utilized in a Large Ice Sheet Model Exd scalable computational performance in a multicore environment. This paper also provides what, at least at first glance, appears to be very counter-intuitive performance results. We examine the underlying reasons for such results, and discuss the important insights gained through this examination.

飲料

Conference proceedings 2015hird volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation..

aqueduct

改正

,Die fetale Entwicklung der Wirbels?ule,ically construct testing spaces, filter them by constrains, modify them by actual running results, and extract useful information from output files. By using this framework, we evaluate the performance of HPGMG at small-scale with different tunable parameters, and at large-scale of 8192 nodes with an overall performance of . DOF/s.

admission

Performance Evaluation of HPGMG on Tianhe-2: Early Experienceically construct testing spaces, filter them by constrains, modify them by actual running results, and extract useful information from output files. By using this framework, we evaluate the performance of HPGMG at small-scale with different tunable parameters, and at large-scale of 8192 nodes with an overall performance of . DOF/s.

斑駁

Enhancing I/O Scheduler Performance by Exploiting Internal Parallelism of SSDsssing and separates read and write requests to avoid read write interference. The evaluation results show that compared with other I/O schedulers in the Linux kernel, SBIOS reduces the average response time significantly. Consequently, the performance of the SSD-based storage systems is improved.

BILK