Generating Portable High-Performance Code via Multi-Dimensional Homomorphisms

We address a key challenge in programming high-performance applications - achieving portable performance, i.e., the same source code achieves a consistent, high level of performance over the variety of modern parallel processors, including multi-core CPU and many-core Graphics Processing Unit (GPU),...

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Bibliographic Details
Published in:	Proceedings / International Conference on Parallel Architectures and Compilation Techniques pp. 354 - 369
Main Authors:	Rasch, Ari, Schulze, Richard, Gorlatch, Sergei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2019
Subjects:	Auto Tuning BLAS Central Processing Unit Codes Computational modeling Deep Learning GPU Graphics processing units Memory management Multi Core CPU Multi Dimensional Homomorphisms OpenCL Parallel architectures Performance evaluation Performance Portability Programming Source coding Stencils Tensor Contractions Tensors
ISSN:	2641-7936
Online Access:	Get full text
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