Iterative optimization in the polyhedral model: part ii, multidimensional time

@inproceedings{Pouchet2008IterativeOI,
  title={Iterative optimization in the polyhedral model: part ii, multidimensional time},
  author={L. Pouchet and C. Bastoul and A. Cohen and J. Cavazos},
  booktitle={PLDI '08},
  year={2008}
}
  • L. Pouchet, C. Bastoul, +1 author J. Cavazos
  • Published in PLDI '08 2008
  • Computer Science
  • High-level loop optimizations are necessary to achieve good performance over a wide variety of processors. Their performance impact can be significant because they involve in-depth program transformations that aim to sustain a balanced workload over the computational, storage, and communication resources of the target architecture. Therefore, it is mandatory that the compiler accurately models the target architecture as well as the effects of complex code restructuring. However, because… CONTINUE READING
    Predictive Modeling in a Polyhedral Optimization Space
    45
    Predictive modeling in a polyhedral optimization space
    42
    The Polyhedral Model Is More Widely Applicable Than You Think
    194
    A Note on the Performance Distribution of Affine Schedules
    9
    Polyhedral-Model Guided Loop-Nest Auto-Vectorization
    103

    References

    Publications referenced by this paper.
    SHOWING 1-5 OF 5 REFERENCES
    Transformations of Nested Loops with Non-Convex Iteration Spaces
    17
    Systematic search within an optimisation space based on Unified Transformation Framework
    5
    GAPS: A Compiler Framework for Genetic Algorithm (GA) Optimised Parallelisation
    56
    Some efficient solutions to the affine scheduling problem. Part II. Multidimensional time
    412
    Parametric integer programming
    442