This is the Windows app named Cthulhu.jl whose latest release can be downloaded as v2.17.4sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Cthulhu.jl with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Cthulhu.jl
DESCRIPTION
Cthulhu.jl is a powerful introspection tool for exploring the Julia compiler’s method dispatch and type inference system. It allows users to interactively descend into the type-inferred lowered and LLVM IR of Julia functions from the REPL. This makes it ideal for developers who want to optimize performance, debug type instability, or understand how Julia compiles code. Named after the Lovecraftian idea of descending into madness, Cthulhu reveals the "underworld" of Julia compilation.
Features
- Interactive exploration of type inference and lowered code
- Displays LLVM IR and native assembly output
- Allows recursive descent into nested function calls
- Highlights type instabilities for optimization
- Integrated with Julia’s REPL for quick access
- Useful for compiler-level debugging and performance tuning
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/cthulhu-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
