| 000 | 02511naa a2200277 a 4500 | ||
|---|---|---|---|
| 003 | AR-LpUFIB | ||
| 005 | 20250311170510.0 | ||
| 008 | 230201s2020 xx o 000 0 eng d | ||
| 024 | 8 |
_aDIF-M8311 _b8531 _zDIF007604 |
|
| 040 |
_aAR-LpUFIB _bspa _cAR-LpUFIB |
||
| 100 | 1 | _aEncinas, Diego | |
| 245 | 1 | 0 | _aAn agent-based model for analyzing the HPC input/output system |
| 300 | _a1 archivo (2,3 MB) | ||
| 500 | _aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) | ||
| 520 | _aHigh Performance Computing (HPC) applications can spend a significant portion of their execution time doing Input/ Output (I/O) operations into files. Improving I/O performance becomes more important for the HPC community, as parallel applications produce more data and use more computing resources. One of the methods used to evaluate and understand the I/O performance behavior of such applications in new I/O systems or for different configurations is using modeling and simulation techniques. In this paper, we present a simulation model of the HPC I/O system by using Agent-Based Modeling and Simulation (ABMS) based on the functionality of the I/O Software Stack. Our proposal is modeled using the concept of white box so that the specific behavior of each of the modules or layers in the system can be observed. The interaction between the layers of the I/O software stack are analyzed by monitoring the internal functions using proprietary parallel file system tools. This allows obtaining the functional and temporal characteristics corresponding to the I/O operations. These characteristics allowed the design and implementation of a representative model of I/O system components. Furthermore, measurements are used to obtain the necessary data sets in the verification, fine-tuning and validation stages. The resulting implementation has shown similar behaviors for measured and simulated values when using the IOR benchmark with various file sizes. | ||
| 534 | _aInternational Journal On Advances in Systems and Measurements, 13(3-4), pp. 192-202. | ||
| 650 | 4 | _aCOMPUTACIÓN DE ALTO RENDIMIENTO - HPC | |
| 650 | 4 | _aMODELADO DE SOFTWARE | |
| 700 | 1 | _aMendez, Sandra | |
| 700 | 1 | _aNaiouf, Ricardo Marcelo | |
| 700 | 1 | _aDe Giusti, Armando Eduardo | |
| 700 | 1 | _aRexachs, Dolores Isabel | |
| 700 | 1 | _aLuque, Emilio | |
| 856 | 4 | 0 | _uhttps://www.thinkmind.org/index.php?view=article&articleid=sysmea_v13_n34_2020_1 |
| 942 | _cCP | ||
| 999 |
_c57377 _d57377 |
||