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Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. You can save loaded packages and compiled functions into a file (called a sysimage) that you pass to Julia upon startup. Typically the goal is to reduce latency on your machine; for example, you could load the packages and compile the functions used in common plotting workflows using that saved image by default. In general, sysimages are not relocatable to other machines; they'll only work on the machine they were created on.
Features
- You can further compile an entire project into a relocatable "app"
- Alternatively, you can create a C library
- You can save loaded packages and compiled functions into a file (called a sysimage) that you pass to julia upon startup
- Typically the goal is to reduce latency on your machine
- Examples available
- The most challenging part in all cases is in determining which methods need to be compiled ahead of time
Project Samples
