# Julia equivalent of Python's "fsum" for floating point summation

**URL:** <https://discourse.julialang.org/t/julia-equivalent-of-pythons-fsum-for-floating-point-summation/17785>\
**Category:** General Usage\
**Tags:** python\
**Created:** [November 20, 2018, 5:16pm UTC](https://discourse.julialang.org/t/julia-equivalent-of-pythons-fsum-for-floating-point-summation/17785 "2018-11-20T17:16:28Z")\
**Posts on this page:** 1\
**Showing post:** 54

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**Author:** ![ffevotte](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ffevotte/32/6587_2.png) [@ffevotte](https://discourse.julialang.org/u/ffevotte)\
**Post date:** [August 12, 2019, 8:07pm UTC](https://discourse.julialang.org/t/julia-equivalent-of-pythons-fsum-for-floating-point-summation/17785/54 "2019-08-12T20:07:02Z")

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> [@JeffreySarnoff](#):
>
> For the benefit of those less familiar with all this, when you have found a good, somewhat transportable approach … do let us know rather than assuming all who are interested would get the message from reading each part of the development. Thanks.

I’m not sure this is what you had in mind, but @elrod and I co-authored a paper that we’re submitting to the [Correctness 2019](https://correctness-workshop.github.io/2019/) workshop (to be held in conjunction with [SC’19](https://sc19.supercomputing.org)). A preliminary version of the preprint is available here for anyone interested:

> **[Accurate and Efficiently Vectorized Sums and Dot Products in Julia](https://hal.science/hal-02265534)**
>
> This paper presents an efficient, vectorized implementation of various summation and dot product algorithms in the Julia programming language. These implementations are available under an open source license in the AccurateArithmetic.jl Julia...

(the deadline for submissions has been extended to August 19th, so we still have some time to take your comments / questions into account if you have some)

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