Metodología para la evaluación de prestaciones del sistema de Entrada/Salida en computadores de altas prestaciones

• Autores: Sandra Adriana Mendez
• Directores de la Tesis: Dolores Isabel Rexachs del Rosario (dir. tes.)
• Lectura: En la Universitat Autònoma de Barcelona ( España ) en 2013
• Idioma: español
• Tribunal Calificador de la Tesis: Jesús Carretero Pérez (presid.), José I. López Cabido (secret.), António Manuel da Silva Pina (voc.)
• Materias:
  • Ciencias tecnológicas
    • Tecnología de los ordenadores
      • Ordenadores digitales
• Enlaces
  • Tesis en acceso abierto en:  TDX  DDD  TESEO 
• Resumen

  • The increase in processing units, the advance in speed and compute power, and the increasing complexity of scientific applications that use high performance computing require more efficient Input/Output(I/O) Systems. The performance of many scientific applications is inherently limited by the input/output subsystem. Due to the historical “gap“ between the computing and I/O performance, in many cases, the I/O system becomes the bottleneck of parallel systems. Identification of I/O factors that influence on performance can help us to hide this ”gap”. This situation lead us to ask ourselves the next questions: Must adapt Scientific applications to I/O configurations?, How do I/O factors influence on performance? How do you configure the I/O system to adapt to the scientific application? Answering these questions is not trivial. To use the I/O system efficiently it is necessary to know its performance capacity to determine if it fulfills I/O requirements of application. We present a methodology to performance evaluate of the I/O system on computer clusters. We propose the I/O system evaluation by taking into account requirements of the application and the I/O configuration. To do this we have defined a methodology with three stages: characterization, analysis of I/O and evaluation. Furthermore, we define a methodology to obtain the I/O model of parallel application that has been utilized to compare different I/O subsystems. It allows us to determine how much of the system’s capacity is being used taking into account the I/O phases of application. The methodology can be used to select the configuration with less I/O time from different I/O configurations. The I/O model of application is defined by three characteristics: metadata, spatial global pattern and temporal global pattern. We have evaluated the I/O system utilization of different configurations by considering the I/O model of application.