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  1. Proceedings of the 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS '16)
  2. Reproducible stencil compiler benchmarks using PROVA!
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HPC benchmarking: problem size matters
An evaluation of network architectures for next generation supercomputers
A performance model for allocating the parallelism in a multigrid-in-time solver
Data-driven performance modeling of linear solvers for sparse matrices
Evaluating and optimizing the NERSC workload on Knights Landing
Performance analysis and optimization of Clang's OpenMP 4.5 GPU support
Effective use of large high-bandwidth memory caches in HPC stencil computation via temporal wave-front tiling
Static cost estimation for data layout selection on GPUs
Visual data-analytics of large-scale parallel discrete-event simulations
Enabling work migration in CoMD to study dynamic load imbalance solutions
Reproducible stencil compiler benchmarks using PROVA!

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Reproducible stencil compiler benchmarks using PROVA!

Content Provider ACM Digital Library
Author Guerrera, Danilo Maffia, Antonio Burkhart, Helmar
Abstract The stencil pattern represents a vast variety of applications, ranging from geophysics to medical science. In application codes, the stencil kernel is often the part where most of the time is spent, thus forcing an efficient parallel implementation of it. On the other side we know that stencil computations are often memory-bound, which requires sophisticated parallelization techniques to get scalable solutions. In this paper we present the results of a stencil benchmark experiment run on two different systems by means of the PROVA! tool we are currently implementing. PROVA! aims for reproducible performance experiments and makes collaborative stencil benchmarking feasible through web repositories and interfaces.
Starting Page 108
Ending Page 115
Page Count 8
ISBN 9781509052189
DOI 10.1109/PMBS.2016.16
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-13
Access Restriction Subscribed
Content Type Text
Resource Type Article
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