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
본 논문에서는 일반적인 집단 커뮤니케이션의 지속 시간을 단축하고자 합니다. 물리적인 주소 체계와 별도로 논리적 주소 지정 체계를 도입하고, 논리 노드 주소를 적절하게 재배열하여 통신 오버헤드를 줄여 이상적인 통신이 이루어지도록 하고자 합니다. 주요 문제 중 하나는 논리 주소 지정 시스템을 재배치하는 것입니다. 메타휴리스틱 솔루션인 유전알고리즘(GA)과 무작위 탐색 전략을 소개한다. 우리의 GA 기반 방법은 2.50가지 트래픽 패턴 사례에서 최대 XNUMX배의 속도 향상을 달성합니다.
Takashi YOKOTA
Utsunomiya University
Kanemitsu OOTSU
Utsunomiya University
Takeshi OHKAWA
Utsunomiya University
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Takashi YOKOTA, Kanemitsu OOTSU, Takeshi OHKAWA, "A Genetic Approach for Accelerating Communication Performance by Node Mapping" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 12, pp. 2971-2975, December 2018, doi: 10.1587/transinf.2018PAL0002.
Abstract: This paper intends to reduce duration times in typical collective communications. We introduce logical addressing system apart from the physical one and, by rearranging the logical node addresses properly, we intend to reduce communication overheads so that ideal communication is performed. One of the key issues is rearrangement of the logical addressing system. We introduce genetic algorithm (GA) as meta-heuristic solution as well as the random search strategy. Our GA-based method achieves at most 2.50 times speedup in three-traffic-pattern cases.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018PAL0002/_p
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@ARTICLE{e101-d_12_2971,
author={Takashi YOKOTA, Kanemitsu OOTSU, Takeshi OHKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={A Genetic Approach for Accelerating Communication Performance by Node Mapping},
year={2018},
volume={E101-D},
number={12},
pages={2971-2975},
abstract={This paper intends to reduce duration times in typical collective communications. We introduce logical addressing system apart from the physical one and, by rearranging the logical node addresses properly, we intend to reduce communication overheads so that ideal communication is performed. One of the key issues is rearrangement of the logical addressing system. We introduce genetic algorithm (GA) as meta-heuristic solution as well as the random search strategy. Our GA-based method achieves at most 2.50 times speedup in three-traffic-pattern cases.},
keywords={},
doi={10.1587/transinf.2018PAL0002},
ISSN={1745-1361},
month={December},}
부
TY - JOUR
TI - A Genetic Approach for Accelerating Communication Performance by Node Mapping
T2 - IEICE TRANSACTIONS on Information
SP - 2971
EP - 2975
AU - Takashi YOKOTA
AU - Kanemitsu OOTSU
AU - Takeshi OHKAWA
PY - 2018
DO - 10.1587/transinf.2018PAL0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2018
AB - This paper intends to reduce duration times in typical collective communications. We introduce logical addressing system apart from the physical one and, by rearranging the logical node addresses properly, we intend to reduce communication overheads so that ideal communication is performed. One of the key issues is rearrangement of the logical addressing system. We introduce genetic algorithm (GA) as meta-heuristic solution as well as the random search strategy. Our GA-based method achieves at most 2.50 times speedup in three-traffic-pattern cases.
ER -