Performance optimisation strategies for automatically generated FPGA accelerators for biomedical models

Author:

Yu Ting12,Oppermann Julian3,Bradley Chris2,Sinnen Oliver1

Affiliation:

1. Department of Electrical and Computer Engineering; University of Auckland; Auckland New Zealand

2. Auckland Bioengineering Institute; University of Auckland; Auckland New Zealand

3. Embedded Systems and Applications Group; Technische Universität Darmstadt; Darmstadt Germany

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference47 articles.

1. An overview of CellML 1.1, a biological model description language;Cuellar;Simulation,2003

2. OpenCMISS: a multi-physics & multi-scale computational infrastructure for the VPH/physiome project;Bradley;Progress in Biophysics and Molecular Biology,2011

3. TOP500 TOP 500 Supercomputer 2014 http://www.top500.org/project/

4. Yu T Bradley C Sinnen O Hardware acceleration of biomedical models with opencmiss and cellml Field-Programmable Technology (FPT), 2013 International Conference on IEEE, Kyoto, Japan 2013 370 373

5. Yu T Bradley C Sinnen O ODoST: automatic hardware acceleration for biomedical model integration Technical Report Auckland, New Zealand 2014

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improved High-Level Synthesis for Complex CellML Models;Applied Reconfigurable Computing. Architectures, Tools, and Applications;2018

2. ODoST;ACM Transactions on Reconfigurable Technology and Systems;2016-09-20

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