2 November 2004 Combining message-passing and inter-process communication in SMP-hybrid cluster for efficient parallel medical image analysis
Author Affiliations +
Abstract
Efficient analysis of medical images to assist physician’s decision making is an important task. However, the analysis of such images often requires sophisticated segmentation and classification algorithms. An approach to speed up these time consuming operations is to use parallel processing. In this paper a new parallel system for medical image analysis is presented. The system combines distributed and shared memory architectures using MPI and the inter-process communication switching mechanism (IPC). MPI is used to communicate between nodes and shared-memory IPC is used to perform shared memory operations among processors within a node. We show how to map a clinical endoscopic image analysis algorithm efficiently onto this architecture. This results in an implementation with significant runtime savings.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sean Chiew Seng Tan, Bertil Schmidt, "Combining message-passing and inter-process communication in SMP-hybrid cluster for efficient parallel medical image analysis", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.559610; https://doi.org/10.1117/12.559610
PROCEEDINGS
10 PAGES


SHARE
Back to Top