Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 952

The DOI matches its Crossref record.

MPFR: A multiple-precision binary floating-point library with correct rounding

Open access
Fousse, Laurent, Hanrot, Guillaume, Lefèvre, Vincent, Pélissier, Patrick, Zimmermann, Paul·2007·ACM Transactions on Mathematical Software

Abstract

This article presents a multiple-precision binary floating-point library, written in the ISO C language, and based on the GNU MP library. Its particularity is to extend to arbitrary-precision, ideas from the IEEE 754 standard, by providing correct rounding and exceptions . We demonstrate how these strong semantics are achieved---with no significant slowdown with respect to other arbitrary-precision tools---and discuss a few applications where such a library can be useful.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1236463.1236468

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 952

Metadata

Authors
Fousse, L., Hanrot, G., Lefèvre, V., Pélissier, P., & Zimmermann, P.
Venue
ACM Transactions on Mathematical Software
Published
2007-06
Volume
33
Issue
2
Pages
13
ISSN
  • 0098-3500 (ISSN-L)
  • 1557-7295
OpenAlex
W1969213662
Cited by
952
References
0
FWCI
33.87
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MPFR: A multiple-precision binary floating-point library with correct rounding. https://app.cochat.ai/papers/10.1145/1236463.1236468
The paper
Fousse, L., Hanrot, G., Lefèvre, V., Pélissier, P., & Zimmermann, P. (2007). MPFR: A multiple-precision binary floating-point library with correct rounding. ACM Transactions on Mathematical Software. https://doi.org/10.1145/1236463.1236468

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.