The Hidden Cost of Functional Approximation Against Careful Data Sizing – A Case Study

Engineering Sciences [physics] Signal and Image processing Computer Science [cs] Computer Arithmetic Computer Science [cs] Hardware Architecture [cs.AR] Computer Science [cs] Embedded Systems

Fichier principal

paper.pdf (329.38 Ko)

Origin : Files produced by the author(s)

Olivier Sentieys : Connect in order to contact the contributor

https://hal.inria.fr/hal-01423147

Submitted on : Wednesday, December 28, 2016-4:03:31 PM

Last modification on : Friday, August 5, 2022-2:54:52 PM

Long-term archiving on: Tuesday, March 28, 2017-1:41:40 AM

Dates and versions

hal-01423147 , version 1 (28-12-2016)

Identifiers

HAL Id : hal-01423147 , version 1
DOI : 10.23919/date.2017.7926979

Cite

Benjamin Barrois, Olivier Sentieys, Daniel Ménard. The Hidden Cost of Functional Approximation Against Careful Data Sizing – A Case Study. Design, Automation & Test in Europe Conference & Exhibition (DATE 2017), Mar 2017, Lausanne, Switzerland. ⟨10.23919/date.2017.7926979⟩. ⟨hal-01423147⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

UNIV-NANTES UNIV-RENNES1 CNRS INRIA INSA-RENNES IRISA IETR IETR-INSA CENTRALESUPELEC INRIA2 UR1-MATH-STIC UR1-UFR-ISTIC IETR-VAADER UNIV-RENNES INSA-GROUPE UR1-MATH-NUM NANTES-UNIVERSITE

687 View

403 Download