Is it possible to determine if the Julia JIT will return a heap allocated or stack allocated return value from a function call?
I recently asked a similar question about how Julia is able to return values of multiple different types from a function call.
My understanding is that under some circumstances, the compiler is able to determine the possible set of return value types, and therefore it is able to return a value using allocated space on the stack.
In other contexts, where the compiler is not able to obtain this information, my understanding is that the compiler returns a value using heap allocated storage.
In either situation, is it possible to determine if Julia has compiled a function or method such that the return value is stack allocated or heap allocated? Is there some way of obtaining this information, perhaps through a debugging or disassembler method?
- 尊敬但不迷信 iPhone 6s这四点不如安卓机
- 为何政府机关被禁止采购Win 8系统?
- 鲍尔默:未来5至10年微软将不再像一家软件公司
- 鲍尔默安抚硬件伙伴:Surface只是一个参考设计
- frontend - Rescript and Fetch with Post Request - Stack Overflow
- perl - How to embed Teraterm in a Visual Studio project - Stack Overflow
- typescript - How to fix GitHub building "unknown token" error in yarn.lock for GitHub Pages? - Stack Overflow
- node.js - Cors errors S3 Upload node - Stack Overflow
- laravel - PHP Filament header action button label not toggling correctly - Stack Overflow
- android - Slow screen value detection using root access and uiautomator in Kotlin – Optimization help needed - Stack Overflow
- c - MPI Program Hangs after MPI_Finalize - Stack Overflow
- web - Framer Motion Scrollable - Stack Overflow
- python - mecab-python3 AWS lambda "circular import" error - Stack Overflow
- React Native Build Error on Windows: "EMFILE: too many open files" During `assembleRelease` - Stack Overflow
- typescript - angular signal is not recomputing - Stack Overflow
- excel - Are there any advantages to use `Application.Match` on a VBA array instead of looping over it when you only care if an e
- Conflicting dependencies while installing torch==1.10.0, torchaudio==0.10.0, and torchvision==0.11.0 in my Python environment -