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Abstract
The paper presents a new approach to parallel image processing using byte addressable, non-volatile memory (NVRAM). We show that our custom built MPI I/O implementation of selected functions that use a distributed cache that incorporates NVRAMs located in cluster nodes can be used for efficient processing of large images. We demonstrate performance benefits of such a solution compared to a traditional implementation without NVRAM for various sizes of buffers used to read image parts, process and write back to storage. We also show that our implementation benefits from overlapping reading subsequent images while processing already loaded ones. We present results obtained in a cluster environment for three parallel implementation of blur, multipass blur and Sobel filters, for various NVRAM parameters such as latencies and bandwidth values.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.12694/scpe.v19i1.1389
- License
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Scalable Computing: Practice and Experience
no. 19,
edition 1,
pages 1 - 14,
ISSN: 1895-1767 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Malinowski A., Czarnul P.: A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache// Scalable Computing: Practice and Experience -Vol. 19,iss. 1 (2018), s.1-14
- DOI:
- Digital Object Identifier (open in new tab) 10.12694/scpe.v19i1.1389
- Verified by:
- Gdańsk University of Technology
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