6764

Engineering Concurrent Software Guided by Statistical Performance Analysis

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser
Institute for Informatics, University of Amsterdam, The Netherlands
International Conference on Parallel Computing (ParCo’11), 2011

@article{grelck2011engineering,

   title={Engineering Concurrent Software Guided by Statistical Performance Analysis},

   author={GRELCK, C. and HAMMOND, K. and HERTLEIN, H. and H{"O}LZENSPIES, P. and JESSHOPE, C. and KIRNER, R. and SCHEUERMANN, B. and SHAFARENKO, A. and TE BOEKHORST, I. and WIESER, V.},

   year={2011}

}

Download Download (PDF)   View View   Source Source   

664

views

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 virtualisation 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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: