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To use a Julia kernel on LC JupyterHub, you need to first:

  1. Install IJulia

You can install `IJulia` using the Julia package manager, `Pkg`, after starting the Julia REPL. (This example uses the TOSS-compatible Julia binary at `/usr/gapps/julia/bin/julia` on the RZ. See `/usr/gapps/julia/bin/julia-power` for Sierra systems.)

janeh@rzslic4:~$ /usr/gapps/julia/bin/julia
 _
 _ _ _(_)_ | Documentation: https://docs.julialang.org
 (_) | (_) (_) |
 _ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help.
 | | | | | | |/ _` | |
 | | |_| | | | (_| | | Version 1.5.3 (2020年11月09日)
 _/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release
|__/ |
julia> using Pkg
julia> Pkg.add("IJulia")
 Installing known registries into `~/.julia`
######################################################################## 100.0%
 Added registry `General` to `~/.julia/registries/General`
 Resolving package versions...
 Installed VersionParsing ── v1.2.0
 Installed libsodium_jll ─── v1.0.19+0
 Installed SoftGlobalScope ─ v1.1.0
 Installed ZeroMQ_jll ────── v4.3.2+6
 Installed Conda ─────────── v1.5.1
 Installed Parsers ───────── v1.1.0
 Installed IJulia ────────── v1.23.2
 Installed JSON ──────────── v0.21.1
 Installed Artifacts ─────── v1.3.0
 Installed MbedTLS_jll ───── v2.16.8+1
 Installed ZMQ ───────────── v1.2.1
 Installed MbedTLS ───────── v1.0.3
 Installed JLLWrappers ───── v1.2.0
Downloading artifact: libsodium
Downloading artifact: ZeroMQ
Downloading artifact: MbedTLS
Updating `~/.julia/environments/v1.5/Project.toml`
 [7073ff75] + IJulia v1.23.2
Updating `~/.julia/environments/v1.5/Manifest.toml`
 [56f22d72] + Artifacts v1.3.0
 [8f4d0f93] + Conda v1.5.1
 [7073ff75] + IJulia v1.23.2
 [692b3bcd] + JLLWrappers v1.2.0
 [682c06a0] + JSON v0.21.1
 [739be429] + MbedTLS v1.0.3
 [c8ffd9c3] + MbedTLS_jll v2.16.8+1
 [69de0a69] + Parsers v1.1.0
 [b85f4697] + SoftGlobalScope v1.1.0
 [81def892] + VersionParsing v1.2.0
 [c2297ded] + ZMQ v1.2.1
 [8f1865be] + ZeroMQ_jll v4.3.2+6
 [a9144af2] + libsodium_jll v1.0.19+0
 [2a0f44e3] + Base64
 [ade2ca70] + Dates
 [8ba89e20] + Distributed
 [7b1f6079] + FileWatching
 [b77e0a4c] + InteractiveUtils
 [76f85450] + LibGit2
 [8f399da3] + Libdl
 [56ddb016] + Logging
 [d6f4376e] + Markdown
 [a63ad114] + Mmap
 [44cfe95a] + Pkg
 [de0858da] + Printf
 [3fa0cd96] + REPL
 [9a3f8284] + Random
 [ea8e919c] + SHA
 [9e88b42a] + Serialization
 [6462fe0b] + Sockets
 [8dfed614] + Test
 [cf7118a7] + UUIDs
 [4ec0a83e] + Unicode
 Building Conda ─→ `~/.julia/packages/Conda/tJJuN/deps/build.log`
 Building IJulia → `~/.julia/packages/IJulia/e8kqU/deps/build.log`

2. Find kernel on JupyterHub

Sign in to LC JupyterHub in the same zone where you installed IJulia (https://rzlc.llnl.gov/jupyter/ on the RZ and https://lc.llnl.gov/jupyter/ on the CZ). If you are already logged in, you will want to log out and log back in again.

After picking a machine on which to start a server, go to "New" to open a new notebook and you should see a "Julia" binary available for you. For example, having installed IJulia to a Julia v1.5.3 binary, I see "Julia 1.5.3" as a kernel option.

3. (Optional) Change the name of your Julia kernel

Installing IJulia created the file `~/.local/share/jupyter/kernels/julia-1.5/kernel.json` (though the name of the Julia subdirectory under `~/.local/share/jupyter/kernels/` will vary based on the binary to which you installed IJulia. When you open `kernel.json` you will see something like

{
 "display_name": "Julia 1.5.3",
 "argv": [
 "/collab/usr/gapps/julia/julia-1.5.3-x86-64/bin/julia",
 "-i",
 "--color=yes",
 "--project=@.",
 "/g/g0/janeh/.julia/packages/IJulia/e8kqU/src/kernel.jl",
 "{connection_file}"
 ],
 "language": "julia",
 "env": {},
 "interrupt_mode": "signal"
}

You can change the value bound to "display_name" to whatever you like. By changing it to `"display_name": "new Julia kernel"`, for example, logging out and back in to JupyterHub will allow you to create new notebooks with a "new Julia kernel" kernel.

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