# Review papers on the growing adoption of Julia for scientific computing and/or HPC?

**URL:** <https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369>\
**Category:** Community\
**Tags:** question, review\
**Created:** [July 1, 2025, 1:50pm UTC](https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369 "2025-07-01T13:50:07Z")\
**Posts on this page:** 5\
**Page:** 1

<div class="post-metadata">

**Author:** ![Oblomov](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/oblomov/32/211073_2.png) [@Oblomov](https://discourse.julialang.org/u/Oblomov)\
**Post date:** [July 1, 2025, 1:50pm UTC](https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369/1 "2025-07-01T13:50:07Z")

</div>

Hello all,

we’re currently writing a manuscript on our experience improving a cellular automaton model for fire propagation that will include also a section on the benefits of porting from Python (the language the original prototype was written in) to Julia. Does anybody know if there are recent review papers on the adoption rate of Julia in HPC and/or scientific computing over the years that we could cite/reference in our bibliography?

---

<div class="post-metadata">

**Author:** ![giordano](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/giordano/32/2166_2.png) [@giordano](https://discourse.julialang.org/u/giordano)\
**Post date:** [July 1, 2025, 2:20pm UTC](https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369/2 "2025-07-01T14:20:55Z")

</div>

Adoption rate is hard to quantify, if you want more general overview of Julia in HPC there’s [Bridging HPC Communities through the Julia Programming Language](https://arxiv.org/abs/2211.02740).

For scientific computing in general you could look at the [RSE International Survey 2022](https://softwaresaved.github.io/international-survey-2022/section/tools-and-programming-languages/#world) and notice that Julia adoption increased ~80% since the 2018 survey (but do note that the sample is somewhat small). This survey also [has a DOI](https://doi.org/10.5281/zenodo.6884882), in case you need that for a citation.

---

<div class="post-metadata">

**Author:** ![sylvaticus](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sylvaticus/32/203883_2.png) [@sylvaticus](https://discourse.julialang.org/u/sylvaticus)\
**Post date:** [July 2, 2025, 10:02am UTC](https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369/3 "2025-07-02T10:02:54Z")

</div>

> [@giordano](#):
>
> (but do note that the sample is somewhat small).

(but do note that there is very little variance by country)

---

<div class="post-metadata">

**Author:** ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)\
**Post date:** [July 2, 2025, 11:23am UTC](https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369/4 "2025-07-02T11:23:49Z")

</div>

Offtopic - in the past I ran NIST Fire Dynamics Simulator and the evac simulator as a demo on HPC clusters. I guess your work is similar?

> **[FDS and Smokeview](https://www.nist.gov/services-resources/software/fds-and-smokeview)**
>
> Fire Dynamics Simulator (FDS) is a computational model for smoke and heat transport from fires. Smokeview visualizes the output from FDS and CFAST

---

<div class="post-metadata">

**Author:** ![LeePhillips](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/leephillips/32/205514_2.png) [@LeePhillips](https://discourse.julialang.org/u/LeePhillips)\
**Post date:** [July 7, 2025, 2:40pm UTC](https://discourse.julialang.org/t/review-papers-on-the-growing-adoption-of-julia-for-scientific-computing-and-or-hpc/130369/5 "2025-07-07T14:40:52Z")

</div>

These might be of interest:

[https://conferences.computer.org/scwpub/pdfs/PMBS2021-vSqRXl4nJSV5KT4jWO5cW/111800a094/111800a094.pdf](https://conferences.computer.org/scwpub/pdfs/PMBS2021-vSqRXl4nJSV5KT4jWO5cW/111800a094/111800a094.pdf)

> **[Julia Joins Petaflop Club](https://www.hpcwire.com/off-the-wire/julia-joins-petaflop-club/)**
>
> BERKELEY, Calif., Sept. 12, 2017 — Julia has joined the rarefied ranks of computing languages that have achieved peak performance exceeding one petaflop per second – the so-called ‘Petaflop Club.’ \[…\]

> **[Bridging HPC Communities through the Julia Programming Language](https://arxiv.org/abs/2211.02740)**
>
> The Julia programming language has evolved into a modern alternative to fill existing gaps in scientific computing and data science applications. Julia leverages a unified and coordinated single-language and ecosystem paradigm and has a proven track...

> **[Using Julia on the HPC - Digital Research](https://blogs.nottingham.ac.uk/digitalresearch/2022/09/30/using-julia-on-the-hpc/)**
>
> In this blog, we explore the speed and efficiency of using the programming language Julia on the University’s high-performance computer. This blog has been guest-authored by Jamie Mair, a PhD researcher in the School of Physics and Astronomy. The...

> **[A Look at Communication-Intensive Performance in Julia](https://arxiv.org/abs/2109.14072)**
>
> The Julia programming language continues to gain popularity both for its potential for programmer productivity and for its impressive performance on scientific code. It thus holds potential for large-scale HPC, but we have not yet seen this potential...

[http://dx.doi.org/10.1145/3624062.3624278](http://dx.doi.org/10.1145/3624062.3624278)