Cedric Nugteren
Henk Corporaal
ABSTRACT
Multi-core and many-core were already major trends for the past six years, and are expected to continue for the next decades. With these trends of parallel computing, it becomes increasingly difficult to decide on which architecture to run a given application.
In this work, we use an algorithm classification to predict performance prior to algorithm implementation. For this purpose, we modify the roofline model to include class information. In this way, we enable architectural choice through performance prediction prior to the development of architecture specific code. The new model, the boat hull model, is demonstrated using a GPU as a target architecture. We show for 6 example algorithms that performance is predicted accurately without requiring code to be available.
- S. W. Keckler, W. J. Dally, B. Khailany, M. Garland, and D. Glasco. GPUs and the Future of Parallel Computing. IEEE Micro, 31:7--17, September 2011. Google Scholar
Digital Library
- C. Nugteren and H. Corporaal. A Modular and Parameterisable Classification of Algorithms. Technical Report No. ESR-2011-02, Eindhoven University of Technology, 2011.Google Scholar
- S. Williams, A. Waterman, and D. Patterson. Roofline: an Insightful Visual Performance Model for Multicore Architectures. Communications of the ACM, 52:65--76, April 2009. Google ScholarDigital Library
Index Terms
- The boat hull model: adapting the roofline model to enable performance prediction for parallel computing
Recommendations
The boat hull model: adapting the roofline model to enable performance prediction for parallel computing
PPOPP '12Multi-core and many-core were already major trends for the past six years, and are expected to continue for the next decades. With these trends of parallel computing, it becomes increasingly difficult to decide on which architecture to run a given ...
The boat hull model: enabling performance prediction for parallel computing prior to code development
CF '12: Proceedings of the 9th conference on Computing FrontiersMulti-core and many-core were already major trends for the past six years and are expected to continue for the next decade. With these trends of parallel computing, it becomes increasingly difficult to decide on which processor to run a given ...
Roofline-aware DVFS for GPUs
ADAPT '14: Proceedings of International Workshop on Adaptive Self-tuning Computing SystemsGraphics processing units (GPUs) are becoming increasingly popular for compute workloads, mainly because of their large number of processing elements and high-bandwidth to off-chip memory. The roofline model captures the ratio between the two (the ...
Comments