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Memorias de investigación
Ponencias en congresos:
Energy Consumption Analysis of Programs based on XMOS ISA-Level Models.
Año:2014
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Energy consumption analysis of embedded programs necessitates the analysis of low-level program representations. This is challenging because the gap between the high-level program structure and the low-level energy models needs to be bridged. Here, we describe techniques for recreating the structure of low-level programs and transforming these into Horn clauses in order to make use of the CiaoPP resource analysis framework. Our analysis framework, which makes use of an energy model we produce for the underlying hardware, characterizes the energy consumption of the program, and returns energy formulae parametrised by the size of the input data. We have performed an initial experimental assessment and obtained encouraging results when comparing the statically inferred formulae to direct energy measurements from the hardware running a set of benchmarks. Static energy estimation has applications in program optimization and enables more energy-awareness in software development
Internacional
Si
Nombre congreso
23rd International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR?13)
Tipo de participación
960
Lugar del congreso
Canterbury, UK
Revisores
Si
ISBN o ISSN
978-3-319-17821-9
DOI
10.1007/978-3-319-17822-6
Fecha inicio congreso
09/09/2014
Fecha fin congreso
11/09/2014
Desde la página
1
Hasta la página
15
Título de las actas
Proceedings of the 23rd International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR?13), 2014.
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Manuel de Hermenegildo Salinas (UPM)
  • Autor: Pedro Lopez Garcia (CSIC)
  • Autor: Umer Liqat (IMDEA Software)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Computación lógica, Lenguajes, Implementación y Paralelismo (CLIP)
  • Departamento: Inteligencia Artificial
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