Assessing the performance portability of modern parallel programming models using TeaLeaf

Summary In this work, we evaluate several emerging parallel programming models: Kokkos, RAJA, OpenACC, and OpenMP 4.0, against the mature CUDA and OpenCL APIs. Each model has been used to port Tealeaf, a miniature proxy application, or mini app, that solves the heat conduction equation and belongs t...

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Bibliographic Details
Published in:Concurrency and computation Vol. 29; no. 15
Main Authors: Martineau, Matthew, McIntosh‐Smith, Simon, Gaudin, Wayne
Format: Journal Article
Language:English
Published: Hoboken Wiley Subscription Services, Inc 10.08.2017
Subjects:
Architecture
Complexity
Conduction heating
Conductive heat transfer
Differentiators
Kokkos
OpenMP 4.0
Parallel programming
performance portability
Portability
Product development
programming models
RAJA
ISSN:1532-0626, 1532-0634
Online Access:Get full text
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Summary:Summary In this work, we evaluate several emerging parallel programming models: Kokkos, RAJA, OpenACC, and OpenMP 4.0, against the mature CUDA and OpenCL APIs. Each model has been used to port Tealeaf, a miniature proxy application, or mini app, that solves the heat conduction equation and belongs to the Mantevo Project. We find that the best performance is achieved with architecture‐specific implementations but that, in many cases, the performance portable models are able to solve the same problems to within a 5% to 30% performance penalty. While the models expose varying levels of complexity to the developer, they all achieve reasonable performance with this application. As such, if this small performance penalty is permissible for a problem domain, we believe that productivity and development complexity can be considered the major differentiators when choosing a modern parallel programming model to develop applications like Tealeaf.
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ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.4117