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- 저자 : Yuki Yamagata (검색결과 2 건)
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An Evaluation of Burst Transfer Inferred by a High-level Synthesis Tool
Yuki Yamagata,Akira Yamawaki 대한전자공학회 2019 IEIE Transactions on Smart Processing & Computing Vol.8 No.2
High-level synthesis (HLS) is technology that automatically converts software to digital hardware. HLS has gained attention as a promising technology that can reduce the burden of hardware development. However, if a software program converted by HLS does not consider organization of the hardware, the current HLS technology cannot convert software to proper digital hardware. One of the characteristics of the hardware to be considered is burst transfer to memory access. Burst transfer attempts to speed up memory access by packing continuous data into a single address. This paper discusses a rectangle-drawing case study that demonstrates how to describe a C program so an HLS tool can infer burst transfer with an arbitrary burst length. Moreover, we consider the necessity to suppress optimization performed by the HLS tool to prevent increasing the amount of digital hardware when we implement the arbitrary burst length. Experiments clarify how performance and the hardware scale change based on the difference in the burst length and suppression of optimization.
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Masuya Hiroshi,Usuda Daiki,Nakata Hatsumi,Yuhara Naomi,Kurihara Keiko,Namiki Yuri,Iwase Shigeru,Takada Toyoyuki,Tanaka Nobuhiko,Suzuki Kenta,Yamagata Yuki,Kobayashi Norio,Yoshiki Atsushi,Kushida Tatsu 한국실험동물학회 2021 Laboratory Animal Research Vol.37 No.1
Online databases are crucial infrastructures to facilitate the wide effective and efficient use of mouse mutant resources in life sciences. The number and types of mouse resources have been rapidly growing due to the development of genetic modification technology with associated information of genomic sequence and phenotypes. Therefore, data integration technologies to improve the findability, accessibility, interoperability, and reusability of mouse strain data becomes essential for mouse strain repositories. In 2020, the RIKEN BioResource Research Center released an integrated database of bioresources including, experimental mouse strains, Arabidopsis thaliana as a laboratory plant, cell lines, microorganisms, and genetic materials using Resource Description Framework-related technologies. The integrated database shows multiple advanced features for the dissemination of bioresource information. The current version of our online catalog of mouse strains which functions as a part of the integrated database of bioresources is available from search bars on the page of the Center ( https://brc.riken.jp ) and the Experimental Animal Division ( https://mus.brc.riken.jp/ ) websites. The BioResource Research Center also released a genomic variation database of mouse strains established in Japan and Western Europe, MoG + ( https://molossinus.brc.riken.jp/mogplus/ ), and a database for phenotype-phenotype associations across the mouse phenome using data from the International Mouse Phenotyping Platform. In this review, we describe features of current version of databases related to mouse strain resources in RIKEN BioResource Research Center and discuss future views.
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