The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
PARAdeg telah ditakrifkan untuk cuba mengukur keselarian yang wujud dalam rangkaian program. Kajian tentang pengiraan PARAdeg telah dilakukan, tetapi penilaian kuantitatif, tentang berapa banyak PARAdeg sesuai dengan selari jaring program, belum dipelajari. Dalam kertas ini, kami melakukan penilaian dengan menggunakan algoritma genetik untuk mengukur masa penyiapan tembakan apabila PARAdeg pemproses, dan semakin sedikit pemproses disediakan untuk 400 jaring program. Keputusan eksperimen kami menunjukkan bahawa masa penyiapan penembakan berkurangan dengan cepat dengan peningkatan pemproses sehingga PARAdeg dan perlahan-lahan apabila pemproses dinaikkan kepada lebih daripada PARAdeg, yang bermaksud PARAdeg adalah standard yang munasabah untuk mengukur keselarian jaring program.
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Salinan
Qi-Wei GE, Kenji ONAGA, "Evaluation of PARAdeg of Acyclic SWITCH-Less Program Nets" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 6, pp. 1186-1191, June 2000, doi: .
Abstract: PARAdeg has been defined to try to measure parallelism inherent in a program net. Studies on computation of PARAdeg have been done, but the quantitative evaluation, on how much PARAdeg fits parallelism of program nets, has not been studied. In this paper, we do the evaluation by applying genetic algorithm to measure firing completion times when PARAdeg processors, and less and more processors are provided for 400 program nets. Our experimental results show that the firing completion times decrease rapidly with increase of processors till PARAdeg and slowly when processors are increased to more than PARAdeg, which implies PARAdeg is a reasonable standard to measure parallelism of program nets.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_6_1186/_p
Salinan
@ARTICLE{e83-a_6_1186,
author={Qi-Wei GE, Kenji ONAGA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Evaluation of PARAdeg of Acyclic SWITCH-Less Program Nets},
year={2000},
volume={E83-A},
number={6},
pages={1186-1191},
abstract={PARAdeg has been defined to try to measure parallelism inherent in a program net. Studies on computation of PARAdeg have been done, but the quantitative evaluation, on how much PARAdeg fits parallelism of program nets, has not been studied. In this paper, we do the evaluation by applying genetic algorithm to measure firing completion times when PARAdeg processors, and less and more processors are provided for 400 program nets. Our experimental results show that the firing completion times decrease rapidly with increase of processors till PARAdeg and slowly when processors are increased to more than PARAdeg, which implies PARAdeg is a reasonable standard to measure parallelism of program nets.},
keywords={},
doi={},
ISSN={},
month={June},}
Salinan
TY - JOUR
TI - Evaluation of PARAdeg of Acyclic SWITCH-Less Program Nets
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1186
EP - 1191
AU - Qi-Wei GE
AU - Kenji ONAGA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2000
AB - PARAdeg has been defined to try to measure parallelism inherent in a program net. Studies on computation of PARAdeg have been done, but the quantitative evaluation, on how much PARAdeg fits parallelism of program nets, has not been studied. In this paper, we do the evaluation by applying genetic algorithm to measure firing completion times when PARAdeg processors, and less and more processors are provided for 400 program nets. Our experimental results show that the firing completion times decrease rapidly with increase of processors till PARAdeg and slowly when processors are increased to more than PARAdeg, which implies PARAdeg is a reasonable standard to measure parallelism of program nets.
ER -