Publication Details
Tuning Parallel Performance of Global Image Processing Operators
Parallel performance, FFT, FWT, Performance tuning
Parallel performance and power consumption is all that usually matters in custom computing for image processing tasks. Tuning the performance on a particular parallel platform is not easy and can be aided by simulation. This paper investigates performance of two global image processing operators, FFT and FWT, on distributed (shared) memory architecture. As the chip multiprocessors and processor arrays are becoming ever more popular, understanding their parallel performance is essential. Variations in processor count, clock rate, link speed, bus bandwidth, cache line size, cache size, as well as mapping software components to processors influence performance a great deal and are analyzed in the paper.
@INPROCEEDINGS{FITPUB7182, author = "Vladim\'{i}r Kut\'{a}lek and V\'{a}clav Dvo\v{r}\'{a}k", title = "Tuning Parallel Performance of Global Image Processing Operators", pages = "57--64", booktitle = "Proceedings of 37th International Conference MOSIS03 Modelling and Simulation of Systems", year = 2003, location = "Ostrava, CZ", ISBN = "80-85988-86-0", language = "english", url = "https://www.fit.vut.cz/research/publication/7182" }