Optimizing a bubble sort implementation in C for an x86-64 architecture
Hello , I'm working on optimizing a bubble sort implementation in
C
for an x86-64
architecture specifically targeting an Intel Core i7 processor using GCC 11.2
. I noticed that the -O3
flag resulted in slower performance compared to -O2
when sorting large arrays of integers 1 million elements in this case.
Here are the timings, average of multiple runs:Solution:Jump to solution
Compile your code with profiling enabled using
```sh
Copy code
gcc -pg -O3 -o sort sort.c
./sort 1000000...
11 Replies
Without optimizations:
-O2:
-O3:
The relevant part of my bubble sort function is included below:
I've examined the assembly output for both -O2 and -O3 versions. While -O3 seems to attempt vector instructions like movdqa, there might be other factors affecting performance, like unnecessary register spills or missed opportunities for further vectorization.
Could additional instructions introduced by -O3 outweigh the benefit of vectorization for bubble sort on x86-64? Are there any compiler flags or optimization techniques specific to x86-64 that might be more suitable for this scenario, considering the limitations of bubble sort for large datasets?
Hi @Marvee Amasi ! It's interesting that
-O3
is slower than -O2
for your case. -O3
enables more aggressive optimizations, but these optimizations can sometimes lead to unexpected performanceThanks man @RED HAT I'm curious to dig deeper into why this might be happening
@Marvee Amasi The
-O3
flag can sometimes result in larger binary sizes, which might not fit well in the CPU cache, leading to slower performance and the -O3
might inline functions more aggressively, which can sometimes degrade performance if the inline functions are large or if they lead to increased instruction cache misses.you should use profiling for your application to understand where the issues are, tools like
gprof
, perf
, or even valgrind
can provide insights into which parts of your code are consuming the most time.Oh profiling sounds like the next step . I wonder if anyone else has encountered similar behavior with -O3 and bubble sort on x86. Perhaps there are known patterns to watch out for in the profiling data?
So cache behavior and inlining decisions can play a significant role here. Any profiling techniques using gprof or perf to pinpoint the bottlenecks in my bubble sort implementation @RED HAT
Solution
Compile your code with profiling enabled using
For
perf
, use
Generate a report to get full detail of where time is being spent on your program
Gracious 👍