Towards Achieving Performance Portability Using Directives for Accelerators

2016 ◽  
Author(s):  
M. Graham Lopez ◽  
Veronica Vergara Larrea ◽  
Wayne Joubert ◽  
Oscar Hernandez ◽  
Azzam Haidar ◽  
...  
Keyword(s):  
Performance Portability

Performance portability on EARTH: a case study across several parallel architectures

2007 ◽  
Vol 10 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Weirong Zhu ◽  
Yanwei Niu ◽  
Guang R. Gao
Keyword(s):  
Parallel Architectures ◽  
Performance Portability

scholarly journals Performance-Portability Results for the Non-Hydrostatic Atmosphere Dycore of E3SM at Cloud-Resolving Resolutions.

2020 ◽  
Author(s):  
Luca Bertagna ◽  
Oksana Guba ◽  
Mark Taylor ◽  
James Foucar ◽  
Andrew Bradley ◽  
...  
Keyword(s):  
Performance Portability

scholarly journals Programmability and performance portability aspects of heterogeneous multi-/manycore systems

2012 ◽  
Author(s):  
C. Kessler ◽  
U. Dastgeer ◽  
S. Thibault ◽  
R. Namyst ◽  
A. Richards ◽  
...  
Keyword(s):  
Performance Portability ◽  
And Performance

scholarly journals A lightweight approach to performance portability with targetDP

2016 ◽  
Vol 32 (2) ◽  
pp. 288-301
Author(s):  
Alan Gray ◽  
Kevin Stratford
Keyword(s):  
Particle Physics ◽  
Message Passing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Large Scale ◽  
Message Passing Interface ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Performance Portability ◽  
Graphics Processing

Leading high performance computing systems achieve their status through use of highly parallel devices such as NVIDIA graphics processing units or Intel Xeon Phi many-core CPUs. The concept of performance portability across such architectures, as well as traditional CPUs, is vital for the application programmer. In this paper we describe targetDP, a lightweight abstraction layer which allows grid-based applications to target data parallel hardware in a platform agnostic manner. We demonstrate the effectiveness of our pragmatic approach by presenting performance results for a complex fluid application (with which the model was co-designed), plus separate lattice quantum chromodynamics particle physics code. For each application, a single source code base is seen to achieve portable performance, as assessed within the context of the Roofline model. TargetDP can be combined with Message Passing Interface (MPI) to allow use on systems containing multiple nodes: we demonstrate this through provision of scaling results on traditional and graphics processing unit-accelerated large scale supercomputers.

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