IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • JetBrains - Developer Ecosystem Survey 2022
  • SonarLint - Deliver Cleaner and Safer Code - Right in Your IDE of Choice!
  • Scout APM - Less time debugging, more time building
  • NeuralPDE.jl

    Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

    GitHub - SciML/NeuralPDE.jl: Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

  • K8sClusterManagers.jl

    A Julia cluster manager for Kubernetes

    GitHub - beacon-biosignals/K8sClusterManagers.jl: A Julia cluster manager for Kubernetes

  • JetBrains

    Developer Ecosystem Survey 2022. Take part in the Developer Ecosystem Survey 2022 by JetBrains and get a chance to win a Macbook, a Nvidia graphics card, or other prizes. We’ll create an infographic full of stats, and you’ll get personalized results so you can compare yourself with other developers.

  • Pyston

    A faster and highly-compatible implementation of the Python programming language.

    [email protected]:/# curl -LO [https://github.com/pyston/pyston/releases/download/pyston\_2.3.2/PystonConda-1.1-Linux-x86\_64.sh](https://github.com/pyston/pyston/releases/download/pyston_2.3.2/PystonConda-1.1-Linux-x86_64.sh) % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 670 100 670 0 0 8072 0 --:--:-- --:--:-- --:--:-- 7976 100 88.2M 100 88.2M 0 0 89.3M 0 --:--:-- --:--:-- --:--:-- 89.3M [email protected]:/# chmod +x PystonConda-1.1-Linux-x86_64.sh [email protected]a-75444d5c79-686cf:/# ./PystonConda-1.1-Linux-x86_64.sh Welcome to PystonConda 1.1 In order to continue the installation process, please review the license agreement. Please, press ENTER to continue >>> PystonConda installer code uses BSD-3-Clause license as stated below. Binary packages that come with it have their own licensing terms and by installing PystonConda you agree to the licensing terms of individual packages as well. They include different OSI-approved licenses including the GNU General Public License and can be found in pkgs//info/licenses folders. ============================================================================= Copyright (c) 2021, Anaconda, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Anaconda, Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL ANACONDA, INC BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Do you accept the license terms? [yes|no] [no] >>> yes PystonConda will now be installed into this location: /root/pystonconda - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below [/root/pystonconda] >>> PREFIX=/root/pystonconda Unpacking payload ... Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /root/pystonconda added / updated specs: - _libgcc_mutex==0.1=conda_forge - _openmp_mutex==4.5=1_gnu - brotlipy==0.7.0=py38h79d3a15_1003 - bzip2==1.0.8=h7f98852_4 - ca-certificates==2021.10.8=ha878542_0 - certifi==2021.10.8=py38hc2d5299_1 - cffi==1.15.0=py38h9a12ab7_0 - charset-normalizer==2.0.11=pyhd8ed1ab_0 - colorama==0.4.4=pyh9f0ad1d_0 - conda-package-handling==1.7.3=py38h79d3a15_1 - conda==4.11.0=py38h4c12d10_0 - cryptography==36.0.0=py38ha252339_0 - freetype==2.10.4=h0708190_1 - idna==3.3=pyhd8ed1ab_0 - jbig==2.1=h7f98852_2003 - jpeg==9e=h7f98852_0 - lerc==3.0=h9c3ff4c_0 - libdeflate==1.8=h7f98852_0 - libffi==3.4.2=h7f98852_5 - libgcc-ng==11.2.0=h1d223b6_12 - libgomp==11.2.0=h1d223b6_12 - libpng==1.6.37=h21135ba_2 - libstdcxx-ng==11.2.0=he4da1e4_12 - libtiff==4.3.0=h6f004c6_2 - libwebp-base==1.2.2=h7f98852_1 - libzlib==1.2.11=h36c2ea0_1013 - lz4-c==1.9.3=h9c3ff4c_1 - ncurses==6.2=h58526e2_4 - openssl==1.1.1l=h7f98852_0 - pip==22.0.3=pyhd8ed1ab_0 - pycosat==0.6.3=py38h79d3a15_1009 - pycparser==2.21=pyhd8ed1ab_0 - pyopenssl==22.0.0=pyhd8ed1ab_0 - pysocks==1.7.1=py38h4c12d10_4 - pyston2.3==2.3.2=0_23_pyston - pyston==2.3.2=3 - python==3.8.12=3_23_pyston - python_abi==3.8=1_23_pyston - readline==8.1=h46c0cb4_0 - requests==2.27.1=pyhd8ed1ab_0 - ruamel_yaml==0.15.80=py38h79d3a15_1006 - setuptools==60.7.0=py38hc2d5299_0 - six==1.16.0=pyh6c4a22f_0 - sqlite==3.37.0=h9cd32fc_0 - tk==8.6.11=h27826a3_1 - tqdm==4.62.3=pyhd8ed1ab_0 - tzdata==2021e=he74cb21_0 - urllib3==1.26.8=pyhd8ed1ab_1 - wheel==0.37.1=pyhd8ed1ab_0 - xz==5.2.5=h516909a_1 - yaml==0.2.5=h7f98852_2 - zlib==1.2.11=h36c2ea0_1013 - zstd==1.5.2=ha95c52a_0 The following NEW packages will be INSTALLED: _libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge _openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-1_gnu brotlipy pyston/linux-64::brotlipy-0.7.0-py38h79d3a15_1003 bzip2 conda-forge/linux-64::bzip2-1.0.8-h7f98852_4 ca-certificates conda-forge/linux-64::ca-certificates-2021.10.8-ha878542_0 certifi pyston/linux-64::certifi-2021.10.8-py38hc2d5299_1 cffi pyston/linux-64::cffi-1.15.0-py38h9a12ab7_0 charset-normalizer conda-forge/noarch::charset-normalizer-2.0.11-pyhd8ed1ab_0 colorama conda-forge/noarch::colorama-0.4.4-pyh9f0ad1d_0 conda pyston/linux-64::conda-4.11.0-py38h4c12d10_0 conda-package-han~ pyston/linux-64::conda-package-handling-1.7.3-py38h79d3a15_1 cryptography pyston/linux-64::cryptography-36.0.0-py38ha252339_0 freetype conda-forge/linux-64::freetype-2.10.4-h0708190_1 idna conda-forge/noarch::idna-3.3-pyhd8ed1ab_0 jbig conda-forge/linux-64::jbig-2.1-h7f98852_2003 jpeg conda-forge/linux-64::jpeg-9e-h7f98852_0 lerc conda-forge/linux-64::lerc-3.0-h9c3ff4c_0 libdeflate conda-forge/linux-64::libdeflate-1.8-h7f98852_0 libffi conda-forge/linux-64::libffi-3.4.2-h7f98852_5 libgcc-ng conda-forge/linux-64::libgcc-ng-11.2.0-h1d223b6_12 libgomp conda-forge/linux-64::libgomp-11.2.0-h1d223b6_12 libpng conda-forge/linux-64::libpng-1.6.37-h21135ba_2 libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-11.2.0-he4da1e4_12 libtiff conda-forge/linux-64::libtiff-4.3.0-h6f004c6_2 libwebp-base conda-forge/linux-64::libwebp-base-1.2.2-h7f98852_1 libzlib conda-forge/linux-64::libzlib-1.2.11-h36c2ea0_1013 lz4-c conda-forge/linux-64::lz4-c-1.9.3-h9c3ff4c_1 ncurses conda-forge/linux-64::ncurses-6.2-h58526e2_4 openssl conda-forge/linux-64::openssl-1.1.1l-h7f98852_0 pip conda-forge/noarch::pip-22.0.3-pyhd8ed1ab_0 pycosat pyston/linux-64::pycosat-0.6.3-py38h79d3a15_1009 pycparser conda-forge/noarch::pycparser-2.21-pyhd8ed1ab_0 pyopenssl conda-forge/noarch::pyopenssl-22.0.0-pyhd8ed1ab_0 pysocks pyston/linux-64::pysocks-1.7.1-py38h4c12d10_4 pyston pyston/noarch::pyston-2.3.2-3 pyston2.3 pyston/linux-64::pyston2.3-2.3.2-0_23_pyston python pyston/linux-64::python-3.8.12-3_23_pyston python_abi pyston/linux-64::python_abi-3.8-1_23_pyston readline conda-forge/linux-64::readline-8.1-h46c0cb4_0 requests conda-forge/noarch::requests-2.27.1-pyhd8ed1ab_0 ruamel_yaml pyston/linux-64::ruamel_yaml-0.15.80-py38h79d3a15_1006 setuptools pyston/linux-64::setuptools-60.7.0-py38hc2d5299_0 six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 sqlite conda-forge/linux-64::sqlite-3.37.0-h9cd32fc_0 tk conda-forge/linux-64::tk-8.6.11-h27826a3_1 tqdm conda-forge/noarch::tqdm-4.62.3-pyhd8ed1ab_0 tzdata conda-forge/noarch::tzdata-2021e-he74cb21_0 urllib3 conda-forge/noarch::urllib3-1.26.8-pyhd8ed1ab_1 wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0 xz conda-forge/linux-64::xz-5.2.5-h516909a_1 yaml conda-forge/linux-64::yaml-0.2.5-h7f98852_2 zlib conda-forge/linux-64::zlib-1.2.11-h36c2ea0_1013 zstd conda-forge/linux-64::zstd-1.5.2-ha95c52a_0 Preparing transaction: done Executing transaction: done installation finished. Do you wish the installer to initialize PystonConda by running conda init? [yes|no] [no] >>> yes no change /root/pystonconda/condabin/conda no change /root/pystonconda/bin/conda no change /root/pystonconda/bin/conda-env no change /root/pystonconda/bin/activate no change /root/pystonconda/bin/deactivate no change /root/pystonconda/etc/profile.d/conda.sh no change /root/pystonconda/etc/fish/conf.d/conda.fish no change /root/pystonconda/shell/condabin/Conda.psm1 no change /root/pystonconda/shell/condabin/conda-hook.ps1 no change /root/pystonconda/lib/python3.8/site-packages/xontrib/conda.xsh no change /root/pystonconda/etc/profile.d/conda.csh modified /root/.bashrc ==> For changes to take effect, close and re-open your current shell. <== If you'd prefer that conda's base environment not be activated on startup, set the auto_activate_base parameter to false: conda config --set auto_activate_base false Thank you for installing PystonConda!

  • scope

    Monitoring, visualisation & management for Docker & Kubernetes

    Weave Scope

  • IJulia.jl

    Julia kernel for Jupyter

    GitHub - JuliaLang/IJulia.jl: Julia kernel for Jupyter

  • julia

    The Julia Programming Language

    (base) [email protected]julia-75444d5c79-686cf:/# julia _ _ _ _(_)_ | Documentation: [https://docs.julialang.org](https://docs.julialang.org) (_) | (_) (_) | _ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version 1.7.2 (2022-02-06) _/ |\ __'_|_|_|\__'_| | Official [https://julialang.org/](https://julialang.org/) release |__/ | ([@v1](http://twitter.com/v1).7) pkg> add IJulia Installing known registries into `~/.julia` Updating registry at `~/.julia/registries/General.toml` Resolving package versions... Installed VersionParsing ── v1.3.0 Installed Conda ─────────── v1.7.0 Installed Parsers ───────── v2.2.3 Installed Preferences ───── v1.2.5 Installed ZMQ ───────────── v1.2.1 Installed IJulia ────────── v1.23.2 Installed JSON ──────────── v0.21.3 Installed JLLWrappers ───── v1.4.1 Installed ZeroMQ_jll ────── v4.3.4+0 Installed SoftGlobalScope ─ v1.1.0 Installed libsodium_jll ─── v1.0.20+0 Installed MbedTLS ───────── v1.0.3 Downloaded artifact: ZeroMQ Downloaded artifact: libsodium Updating `~/.julia/environments/v1.7/Project.toml` [7073ff75] + IJulia v1.23.2 Updating `~/.julia/environments/v1.7/Manifest.toml` [8f4d0f93] + Conda v1.7.0 [7073ff75] + IJulia v1.23.2 [692b3bcd] + JLLWrappers v1.4.1 [682c06a0] + JSON v0.21.3 [739be429] + MbedTLS v1.0.3 [69de0a69] + Parsers v2.2.3 [21216c6a] + Preferences v1.2.5 [b85f4697] + SoftGlobalScope v1.1.0 [81def892] + VersionParsing v1.3.0 [c2297ded] + ZMQ v1.2.1 [0dad84c5] + ArgTools [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [f43a241f] + Downloads [7b1f6079] + FileWatching [b77e0a4c] + InteractiveUtils [b27032c2] + LibCURL [76f85450] + LibGit2 [8f399da3] + Libdl [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions [44cfe95a] + Pkg [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA [9e88b42a] + Serialization [6462fe0b] + Sockets [fa267f1f] + TOML [a4e569a6] + Tar [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [deac9b47] + LibCURL_jll [29816b5a] + LibSSH2_jll [c8ffd9c3] + MbedTLS_jll [14a3606d] + MozillaCACerts_jll [83775a58] + Zlib_jll [8e850ede] + nghttp2_jll [3f19e933] + p7zip_jll Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/6e47d11ea2776bc5627421d59cdcc1296c058071/build.log` Building IJulia → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/d8b9c31196e1dd92181cd0f5760ca2d2ffb4ac0f/build.log` Progress [====================>] 1/2 Precompiling project... 11 dependencies successfully precompiled in 4 seconds (4 already precompiled) (base) [email protected]julia-75444d5c79-686cf:/# screen -L -S julia (base) [email protected]julia-75444d5c79-686cf:/# cat screenlog.0 # bash (base) [email protected]julia-75444d5c79-686cf:/# jupyter lab --ip "0.0.0.0" --port "1234" --allow-root [I 2022-03-12 19:56:19.308 ServerApp] jupyterlab | extension was successfully linked. [I 2022-03-12 19:56:19.314 ServerApp] nbclassic | extension was successfully linked. [I 2022-03-12 19:56:19.315 ServerApp] Writing Jupyter server cookie secret to /root/.local/share/jupyter/runtime/jupyter_cookie_secret [I 2022-03-12 19:56:19.417 ServerApp] notebook_shim | extension was successfully linked. [I 2022-03-12 19:56:19.465 ServerApp] notebook_shim | extension was successfully loaded. [I 2022-03-12 19:56:19.465 LabApp] JupyterLab extension loaded from /root/pystonconda/lib/python3.8-pyston2.3/site-packages/jupyterlab [I 2022-03-12 19:56:19.465 LabApp] JupyterLab application directory is /root/pystonconda/share/jupyter/lab [I 2022-03-12 19:56:19.467 ServerApp] jupyterlab | extension was successfully loaded. [I 2022-03-12 19:56:19.469 ServerApp] nbclassic | extension was successfully loaded. [I 2022-03-12 19:56:19.469 ServerApp] Serving notebooks from local directory: / [I 2022-03-12 19:56:19.469 ServerApp] Jupyter Server 1.13.5 is running at: [I 2022-03-12 19:56:19.469 ServerApp] [http://julia-75444d5c79-686cf:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2](http://julia-75444d5c79-686cf:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2) [I 2022-03-12 19:56:19.470 ServerApp] or [http://127.0.0.1:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2](http://127.0.0.1:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2) [I 2022-03-12 19:56:19.470 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [W 2022-03-12 19:56:19.471 ServerApp] No web browser found: could not locate runnable browser. [C 2022-03-12 19:56:19.472 ServerApp] To access the server, open this file in a browser: file:///root/.local/share/jupyter/runtime/jpserver-1096-open.html Or copy and paste one of these URLs: [http://julia-75444d5c79-686cf:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2](http://julia-75444d5c79-686cf:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2) or [http://127.0.0.1:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2](http://127.0.0.1:1234/lab?token=c87f67a6e002957c2e49032e02fb81951ec8a569f75c6fc2)

  • klipper-lb

    Embedded service load balancer in Klipper

    GitHub - k3s-io/klipper-lb: Embedded service load balancer in Klipper

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • julia-distributed-computing

    The ultimate guide to distributed computing in Julia

    GitHub - juliohm/julia-distributed-computing: The ultimate guide to distributed computing in Julia

  • AMDGPU.jl

    AMD GPU (ROCm) programming in Julia

    GitHub - JuliaGPU/AMDGPU.jl: AMD GPU (ROCm) programming in Julia

  • k8s-device-plugin

    Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster (by RadeonOpenCompute)

    GitHub - RadeonOpenCompute/k8s-device-plugin: Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts