Improved high-level synthesis for complex CellML models

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dc.contributor.author Liebig, B en
dc.contributor.author Oppermann, J en
dc.contributor.author Sinnen, Oliver en
dc.contributor.author Koch, A en
dc.date.accessioned 2018-10-17T02:46:08Z en
dc.date.issued 2018-01-01 en
dc.identifier.citation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10824 LNCS: 420-432. 01 Jan 2018 en
dc.identifier.isbn 9783319788890 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri http://hdl.handle.net/2292/42518 en
dc.description.abstract © Springer International Publishing AG, part of Springer Nature 2018. In this work, we present the use of a new high-level synthesis engine capable of generating resource-shared compute accelerators, even from very complex double-precision codes, for cell biology simulations. From the domain-specific CellML description, the compilation pipeline is able to generate hardware that is shown to achieve a performance similar to or exceeding current generation desktop CPUs, and has energy savings of up to 96% even for a single accelerator, which requires just 25–30% area on a mid-sized FPGA. en
dc.relation.ispartofseries Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-78890-6_34 en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://www.springer.com/gb/open-access/authors-rights/self-archiving-policy/2124 en
dc.title Improved high-level synthesis for complex CellML models en
dc.type Conference Item en
dc.identifier.doi 10.1007/978-3-319-78890-6_34 en
pubs.begin-page 420 en
pubs.volume 10824 LNCS en
dc.rights.holder Copyright: Springer en
pubs.end-page 432 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.elements-id 740548 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
dc.identifier.eissn 1611-3349 en


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