Understanding Function Call Overhead and Compiler Inlining Optimization
By
ingve
Not artisan, but a perfectly fine bagel. Hits the spot.
Summary
The article discusses the performance implications of function calls in programming, explaining how compilers optimize code through techniques like inlining. It explores the trade-offs between modular code with many function calls and monolithic single-function programs, noting that while function calls have overhead, modern compilers can optimize them effectively. The piece examines when inlining is beneficial versus when it can increase code size without performance gains, providing insights into compiler optimization strategies for efficient programming.
Key quotes
· 5 pulledYou do not have to program this way, you could write an entire program using a single function. It would be a fun exercise to write a non-trivial program using a single function... as long as you delegate the code writing to AI because human beings quickly struggle with long functions.
A key compiler optimization is 'inlining': the compiler takes your function definition and it tries to substitute it at the call location.
Function calls have a cost: they require setting up a stack frame, passing parameters, and jumping to a different location in memory.
Modern compilers are quite sophisticated and can often inline functions automatically when it makes sense from a performance perspective.
The trade-off is between code size and performance: inlining can make code faster by eliminating function call overhead, but it can also increase the size of the executable.
You might also wanna read
Go Language Performance Improvements: Shifting Memory Allocations from Heap to Stack
The article discusses recent efforts by the Go programming language team to improve performance by shifting more memory allocations from the
go.dev·3mo ago
Understanding Partial Inlining: How Compilers Optimize Functions with Fast and Slow Paths
This technical blog post explores partial inlining as a compiler optimization technique, explaining how compilers can selectively inline onl
How Compiler Optimizers Recognize Patterns and Simplify Obfuscated Code
The article discusses how modern compilers and optimizers can recognize patterns in code and simplify complex-looking operations into effici
IRHash: Multi-Language Compiler Caching Using Intermediate Representation Hashing
IRHash is a compiler caching technique that uses intermediate representation (IR) level hashing to improve compilation efficiency across mul
usenix.org·8mo ago
Why Average LLM Use Is Likely Destroying Value in Software Development
The author argues that, contrary to prevailing hype, the average use of Large Language Models (LLMs) is likely destroying value rather than
unessays.substack.com·7h ago
How AI Accelerated Prototyping: From Idea to Tangible in Record Time
The author reflects on how AI has transformed their prototyping workflow. Previously, the biggest bottleneck was the time needed to scaffold
darylcecile.net·7h ago