scholarly journals Parallelization and Performance Portability in Hydrodynamics Codes

2020 ◽  
Author(s):  
Daniel Dunning
Keyword(s):  
Performance Portability ◽  
And Performance

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

OpenVX Integration Into the Visual Development Environment

2018 ◽  
Vol 9 (1) ◽  
pp. 20-49 ◽  
Author(s):  
Alexey Syschikov ◽  
Boris Sedov ◽  
Konstantin Nedovodeev ◽  
Vera Ivanova
Keyword(s):  
Computer Vision ◽  
Performance Analysis ◽  
Automatic Generation ◽  
Visual Programming ◽  
Visual Development ◽  
Development Environment ◽  
Performance Portability ◽  
Programming Support ◽  
And Performance ◽  
Performance Analysis Tools

The OpenVX standard has appeared as an answer from the computer vision community to the challenge of accelerating vision applications on embedded heterogeneous platforms. It is designed to leverage the computer vision hardware potential with functional and performance portability. As long as VIPE has a powerful model of computation, it can incorporate various other models. This allows to extend facilities of a language or framework that is based on the model to be incorporated with visual programming support and provide access to the existing performance analysis and deployment tools. The authors present OpenVX integration into the VIPE IDE. VIPE addresses the need to design OpenVX graphs in a natural visual form with automatic generation of a full-fledged program, shielding a programmer from writing a bunch of boilerplate code. To the best of the authors' knowledge, this is the first use of a graphical notation for OpenVX programming. Using VIPE to develop OpenVX programs also enables the performance analysis tools.

Enhancing the Programmability and Performance Portability of GPU Tensor Operations

2019 ◽  
pp. 213-226 ◽  
Author(s):  
Arya Mazaheri ◽  
Johannes Schulte ◽  
Matthew W. Moskewicz ◽  
Felix Wolf ◽  
Ali Jannesari
Keyword(s):  
Performance Portability ◽  
And Performance

scholarly journals Performance Portability Strategies for Grid C++ Expression Templates

2018 ◽  
Vol 175 ◽  
pp. 09006 ◽  
Author(s):  
Peter A. Boyle ◽  
M.A. Clark ◽  
Carleton DeTar ◽  
Meifeng Lin ◽  
Verinder Rana ◽  
...  
Keyword(s):  
Lattice Qcd ◽  
Just In Time ◽  
Application Development ◽  
Performance Portability ◽  
Exascale Computing ◽  
Starting Point ◽  
The Us ◽  
And Performance ◽  
Expression Templates ◽  
Expression Template

One of the key requirements for the Lattice QCD Application Development as part of the US Exascale Computing Project is performance portability across multiple architectures. Using the Grid C++ expression template as a starting point, we report on the progress made with regards to the Grid GPU offloading strategies. We present both the successes and issues encountered in using CUDA, OpenACC and Just-In-Time compilation. Experimentation and performance on GPUs with a SU(3)×SU(3) streaming test will be reported. We will also report on the challenges of using current OpenMP 4.x for GPU offloading in the same code.

scholarly journals LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models

2019 ◽  
Vol 132 ◽  
pp. 383-396 ◽  
Author(s):  
S.V. Adams ◽  
R.W. Ford ◽  
M. Hambley ◽  
J.M. Hobson ◽  
I. Kavčič ◽  
...  
Keyword(s):  
Climate Models ◽  
Performance Portability ◽  
Weather And Climate ◽  
And Performance
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