Computer-aided synthesis of parallel image processing applications

Benoit A. Gennart; Roger David Hersch

doi:10.1117/12.365904

7 October 1999 Computer-aided synthesis of parallel image processing applications

Benoit A. Gennart, Roger David Hersch

Proceedings Volume 3817, Parallel and Distributed Methods for Image Processing III; (1999) https://doi.org/10.1117/12.365904
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We present a tutorial description of the CAP Computer-Aided Parallelization tool. CAP has been designed with the goal of letting the parallel application programmer have the complete control about how his application is parallelized, and at the same time freeing him from the burden of managing explicitly a large number of threads and associated synchronization and communication primitives. The CAP tool, a precompiler generating C++ source code, enables application programmers to specify at a high level of abstraction the set of threads present in the application, the processing operations offered by these threads, and the parallel constructs specifying the flow of data and parameters between operations. A configuration map specifies the mapping between CAP threads and operating system processes, possibly located on different computers. The generated program may run on various parallel configurations without recompilation. We discuss the issues of flow control and load balancing and show the solutions offered by CAP. We also show how CAP can be used to generate relatively complex parallel programs incorporating neighborhood dependent operations. Finally, we briefly describe a real 3D image processing application: the Visible Human Slice Server, its implementation according to the previously defined concepts and its performance.

Citation Download Citation

Benoit A. Gennart and Roger David Hersch "Computer-aided synthesis of parallel image processing applications", Proc. SPIE 3817, Parallel and Distributed Methods for Image Processing III, (7 October 1999); https://doi.org/10.1117/12.365904

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