Engineering concurrent software guided by statistical performance analysis

B. Scheuermann, K. Hammond, A. Shaferenko, C. Jesshope, H. Hertlein, V. Wieser, P. Hölzenspies, R. Kirner, T. Iraneus. Engineering concurrent software guided by statistical performance analysis. volume 22, pages 385-394, 5, 2012.

  • Bernd Scheuermann
  • Kevin Hammond
  • Alex Shaferenko
  • Chris Jesshope
  • Heinz Hertlein
  • Volkmar Wieser
  • Philip Hölzenspies
  • Raimund Kirner
  • Te Boekhorst Iraneus
  • K. De Bosschere
  • E.H. D'Hollander
  • G.R. Joubert
  • D. Padua
  • F. Peters
BuchApplications, Tools and Techniques on the Road to Exascale Computing
TypIn Sammelband
VerlagIOS Press
SerieAdvances in Parallel Computing

This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chain maps concurrent programs onto emerging hardware architectures, where costs are expressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysis techniques to give overall cost information about the concurrent system that can be exploited by the hardware virtualization layer to drive mapping and scheduling decisions. Initial performance results are presented, showing that the ADVANCE technologies provide a promising approach to dealing with near- and future-term complexities of programming heterogeneous multi-core systems.