Julia (programming language) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Julia (programming language)" in English language version.

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arxiv.org

  • Biggs, Benjamin; McInerney, Ian; Kerrigan, Eric C.; Constantinides, George A. (2022). "High-level Synthesis using the Julia Language". arXiv:2201.11522 [cs.SE]. We present a prototype Julia HLS tool, written in Julia, that transforms Julia code to VHDL.

awsstatic.com

d1.awsstatic.com

caltech.edu

clima.caltech.edu

  • "Home - CliMA". CliMA – Climate Modeling Alliance. Retrieved 18 June 2023.

cern.ch

indico.cern.ch

  • "Julia for HEP Mini-workshop". indico.cern.c h. 27 September 2021. Retrieved 23 August 2022. Julia and the first observation of Ω-_b → Ξ+_c K- π-
  • Mikhasenko, Misha (July 2021). "Julia for QCD spectroscopy" (PDF). indico.cern.ch. Retrieved 23 August 2022. Summary: Julia is ready to be used in physics HEP analysis.

gitlab.cern.ch

computer.org

ds-econ.com

energy.gov

arpa-e.energy.gov

fatiherikli.github.io

forbes.com

forms.fm

mozilla-research.forms.fm

  • "Mozilla Research Grants 2019H1". Mozilla. Archived from the original on 9 October 2019. Retrieved 22 September 2019. running language interpreters in WebAssembly. To further increase access to leading data science tools, we're looking for someone to port R or Julia to WebAssembly and to attempt to provide a level 3 language plugin for Iodide: automatic conversion of data basic types between R/Julia and Javascript, and the ability to share class instances between R/Julia and Javascript.

freecodecamp.org

github.com

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jiahao.github.io

  • Chen, Jiahao. "Jiahao Chen". Jiahao Chen. Retrieved 23 February 2023.

juliaberry.github.io

juliacomputing.com

juliacon.org

juliadatascience.io

juliagpu.org

  • "NVIDIA CUDA ⋅ JuliaGPU". juliagpu.org. Retrieved 17 January 2022. we have shown the performance to approach and even sometimes exceed that of CUDA C on a selection of applications from the Rodinia benchmark suite
  • "JuliaGPU". juliagpu.org. Retrieved 16 November 2022. Almost 300 packages rely directly or indirectly on Julia's GPU capabilities.
  • "Introducing: oneAPI.jl ⋅ JuliaGPU". juliagpu.org. Retrieved 6 September 2021.
  • "AMD ROCm · JuliaGPU". juliagpu.org. Retrieved 20 April 2020.

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julialang.org

julialang.org

  • "Why We Created Julia". Julia website. February 2012. Retrieved 7 February 2013.
  • "Download Julia".
  • "A Julia interpreter and debugger". julialang.org. Retrieved 10 April 2019.
  • Jeff Bezanson; Stefan Karpinski; Viral Shah; Alan Edelman. "Why We Created Julia". JuliaLang.org. Retrieved 5 June 2017.
  • "JuliaCon 2020 Wrap-up". julialang.org. 11 August 2020. Retrieved 20 December 2020.
  • "JuliaCon 2021 Highlights". julialang.org. Retrieved 6 September 2021.
  • Davies, Eric. "Writing Iterators in Julia 0.7". julialang.org. Retrieved 5 August 2018.
  • Bezanson, Jeff; Karpinski, Stefan; Shah, Viral; Edelman, Alan. "The Julia Language". julialang.org. Retrieved 13 December 2019.
  • Fischer, Keno (2 May 2020). "Coming in Julia 1.5: Time Traveling (Linux) Bug Reporting". julialang.org. Retrieved 5 May 2020. Overhead for recording of single threaded processes is generally below 2x, most often between 2% and 50% (lower for purely numerical calculations, higher for workloads that interact with the OS). Recording multiple threads or processes that share memory (as opposed to using kernel-based message passing) is harder. [..] As expected, the threads test is the worst offender with about 600% overhead.
  • Jeff Bezanson; Stefan Karpinski; Viral Shah; Alan Edelman; et al. "The Julia Language". julialang.org. Retrieved 14 August 2020. There are some size-based limits to which structs can be stack allocated, but they are unlikely to be exceeded in practice.
  • Jeff Bezanson; Stefan Karpinski; Viral Shah; Alan Edelman; et al. "The Julia Language". julialang.org. Retrieved 16 September 2020.
  • Jeff Bezanson; Stefan Karpinski; Viral Shah; Alan Edelman; et al. "Julia 1.6 Highlights". julialang.org. Retrieved 26 March 2021.
  • "JuliaCon 2020 wrap up". julialang.org. Retrieved 20 June 2021.
  • "JuliaCon 2021 Highlights". julialang.org. Retrieved 3 March 2022. This year's JuliaCon was the biggest and best ever, with more than 300 presentations available for free on YouTube, more than 20,000 registrations, and more than 43,000 unique YouTube viewers during the conference, up from 162 presentations, 10,000 registrations, and 28,900 unique YouTube viewers during last year's conference.
  • "The Julia Language". julialang.org. Retrieved 22 September 2019.
  • "The Julia Language" (official website). General Purpose [..] Julia lets you write UIs, statically compile your code, or even deploy it on a webserver.
  • "Julia Downloads". julialang.org. Retrieved 17 May 2019.
  • "Julia available in Raspbian on the Raspberry Pi". Julia works on all the Pi variants, we recommend using the Pi 3.

discourse.julialang.org

docs.julialang.org

forem.julialang.org

  • "Introducing Braket.jl - Quantum Computing with Julia". Julia Community 🟣. 15 November 2022. Retrieved 23 February 2023. Almost all of the Python SDK's features are reimplemented in Julia — for those few that aren't, we are also providing a subsidiary package, PyBraket.jl, which allows you to translate Julia objects into their Python equivalents and call the Python SDK.
  • "Julia for Election Security". Julia Forem. 23 September 2022. Retrieved 27 September 2022.

jupyter.org

learnxinyminutes.com

mechanicalrabbit.github.io

medium.com

medium.com

  • "Smoothing data with Julia's @generated functions". 5 November 2015. Retrieved 9 December 2015. Julia's generated functions are closely related to the multistaged programming (MSP) paradigm popularized by Taha and Sheard, which generalizes the compile time/run time stages of program execution by allowing for multiple stages of delayed code execution.
  • "Announcing Dash for Julia". plotly (Press release). 26 October 2020. Retrieved 2 September 2021.
  • Anaya, Richard (28 April 2019). "How to create a multi-threaded HTTP server in Julia". Medium. Retrieved 25 July 2019. In summary, even though Julia lacks a multi-threaded server solution currently out of box, we can easily take advantage of its process distribution features and a highly popular load balancing tech to get full CPU utilization for HTTP handling.

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mit.edu

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nasa.gov

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oreilly.com

  • "2. Object-Oriented Programming - Beginning Julia Programming: For Engineers and Scientists [Book]". www.oreilly.com. Retrieved 26 January 2023.

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  • Hobbs, Kerianne (December 2022). "Year of Autonomy in Alaskan Glaciers, Flight, Earth Orbit, Cislunar Space and Mars". Aerospace America Year in Review. p. 48. The flight test team was able to demonstrate … a vertical takeoff and landing vehicle with both electric and conventional fuel propulsion systems onboard. The [uncrewed aerial system] was able to plan and execute these missions autonomously using onboard hardware. It was the first time the Julia programming language was flown on the embedded hardware - algorithms were precompiled ahead of time.

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