@article{oai:ipsj.ixsq.nii.ac.jp:00070259,
 author = {Hideki, Yamada and Yui, Ogawa and Tomonori, Ooya and Tomoya, Ishimori and Yasunori, Osana and Masato, Yoshimi and Yuri, Nishikawa and Akira, Funahashi and Noriko, Hiroi and Hideharu, Amano and Yuichiro, Shibata and Kiyoshi, Oguri and Hideki, Yamada and Yui, Ogawa and Tomonori, Ooya and Tomoya, Ishimori and Yasunori, Osana and Masato, Yoshimi and Yuri, Nishikawa and Akira, Funahashi and Noriko, Hiroi and Hideharu, Amano and Yuichiro, Shibata and Kiyoshi, Oguri},
 journal = {IPSJ Transactions on System LSI Design Methodology（TSLDM）},
 month = {Aug},
 note = {For FPGA-based scientific simulation systems, hardware design technique that can reduce required amount of hardware resources is a key issue, since the size of simulation target is often limited by the size of the FPGA. Focusing on FPGA-based biochemical simulation, this paper proposes hardware design methodology which finds and combines common datapath for similar rate law functions appeared in simulation target models, so as to generate area-effective pipelined hardware modules. In addition, similarity-based clustering techniques of rate law functions are also presented in order to alleviate negative effects on performance for combined pipelines. Empirical evaluation with a practical biochemical model reveals that our method enables the simulation with 66% of the original hardware resources at a reasonable cost of 20% performance overhead., For FPGA-based scientific simulation systems, hardware design technique that can reduce required amount of hardware resources is a key issue, since the size of simulation target is often limited by the size of the FPGA. Focusing on FPGA-based biochemical simulation, this paper proposes hardware design methodology which finds and combines common datapath for similar rate law functions appeared in simulation target models, so as to generate area-effective pipelined hardware modules. In addition, similarity-based clustering techniques of rate law functions are also presented in order to alleviate negative effects on performance for combined pipelines. Empirical evaluation with a practical biochemical model reveals that our method enables the simulation with 66% of the original hardware resources at a reasonable cost of 20% performance overhead.},
 pages = {244--256},
 title = {Automatic Pipeline Construction Focused on Similarity of Rate Law Functions for an FPGA-based Biochemical Simulator},
 volume = {3},
 year = {2010}
}