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 |