@inbook{e457cbdd6be94b0fb3efbdf15a4b0968,
title = "Folded fat H-Tree: An interconnection topology for dynamically reconfigurable processor array",
abstract = "Fat H-Tree is a novel on-chip network topology for a dynamic reconfigurable processor array. It includes both fat tree and torus structure, and suitable to map tasks in a stream processing. For on-chip implementation, folding layout is also proposed. Evaluation results show that Fat H-Tree reduces the distance of H-Tree from 13% to 55%, and stretches the throughput almost three times.",
author = "Yutaka Yamada and Hideharu Amano and Michihiro Koibuchi and Akiya Jouraku and Kenichiro Anjo and Katsunobu Nishimura",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2004",
doi = "10.1007/978-3-540-30121-9_29",
language = "English",
isbn = "354022906X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "301--311",
editor = "Yang, {Laurence T.} and Minyi Guo and Gao, {Guang R.} and Jha, {Niraj K.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}