Message passing for parallel processing of pressure-sensitive paint images

Ruyten, Wim; Sisson, W.E.

doi:10.1109/dod_ugc.2004.27

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…In paper [6] the authors extended the well known image processing tool GIMP with a possibility to use a cluster based system for pipelined image processing. Paper [32] presents parallel processing of pressure-sensitive paint images on a multiprocessor machine or a cluster with multiple nodes, however implemented with forks/pipes and TCP/IP.…”

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confidence: 99%

A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache

Malinowski¹,

Czarnul²

2018

SCPE

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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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confidence: 99%

A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache

Malinowski¹,

Czarnul²

2018

SCPE

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On-Line Processing of Pressure-Sensitive Paint Images

Ruyten

Sellers

2004

Journal of Aerospace Computing, Information, and Communication

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This paper documents a milestone that has been reached at the Arnold Engineering Development Center, namely to reduce data reduction times for both intensity-based and lifetime-based pressure-sensitive paint measurements from an eight-camera system sufficiently that one data point can be processed in full (in 5 to 10 s) while the next data point is being acquired. The paper describes the hardware, software, and data reduction strategies used, and it presents results for benchmark data from wind tunnel tests on scale models of an F-16C fighter jet and NASA's X-38 Crew Return Vehicle.

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Exploiting High Performance Computing to Reduce the T&E LifeCycle

Sisson

2010

U.S. Air Force T&E Days 2010

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Message passing for parallel processing of pressure-sensitive paint images

Cited by 3 publications

References 2 publications

A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache

A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache

On-Line Processing of Pressure-Sensitive Paint Images

Exploiting High Performance Computing to Reduce the T&E LifeCycle

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