Title :
DARPA benchmark image processing on SIMD parallel machines
Author :
Cucchiara, Rita ; Piccardi, Massimo
Author_Institution :
Istituto di Ingegneria, Ferrara Univ., Italy
Abstract :
The aim of the paper is to present a comparative analysis of the execution times of low-level vision algorithms on two different SIMD parallel machines. The set of algorithms is part of the DARPA Image Understanding benchmark, a widely-accepted platform for performance comparison of parallel systems in the field of computer vision. The considered computer architectures represent two opposite solutions in terms of granularity in approaching the SIMD paradigm, one with a coarse-grain array of floating-point processors and the other with a fine-grain array of single-bit processing elements. For these reasons, the set of algorithms was implemented on both systems taking into account machine specificities. Some insights into implementation issues and a comparative analysis of the assessed execution times are presented
Keywords :
computational complexity; computer vision; floating point arithmetic; parallel algorithms; parallel architectures; parallel machines; performance evaluation; DARPA Image Understanding benchmark; DARPA benchmark image processing; SIMD parallel machines; algorithms; coarse-grain floating-point processor array; computer architectures; computer vision; execution times; fine-grain single-bit processing element array; granularity; low-level vision algorithms; machine specificities; performance comparison; Algorithm design and analysis; Benchmark testing; Computer architecture; Computer vision; Concurrent computing; Image processing; Parallel machines; Parallel processing; Topology; US Department of Transportation;
Conference_Titel :
Algorithms & Architectures for Parallel Processing, 1996. ICAPP 96. 1996 IEEE Second International Conference on
Print_ISBN :
0-7803-3529-5
DOI :
10.1109/ICAPP.1996.562872
