Branch Prediction in C (using GCC)
Branch prediction is a technique used in computer architecture to improve the flow in instruction pipelines. Pipelines are a key feature of modern processors, allowing multiple instructions to be processed simultaneously, each at a different stage of execution. However, this efficiency can be disrupted by branches (like if
statements or loops), where the path of execution depends on a condition that might not yet be resolved.
Understanding Branch Prediction
Branch prediction tries to guess the outcome of a branch before it's known for sure, allowing the pipeline to continue filling with instructions as if the guess were correct. If the prediction is right, the pipeline operates smoothly. If it's wrong, the pipeline must be flushed and refilled, which causes a performance penalty.
Types of Branch Predictors:
Static Predictors: Make a fixed prediction (always taken or not taken).
Dynamic Predictors: Use historical information to make predictions.
Compiler Hints in GCC
In GCC (GNU Compiler Collection), programmers can provide hints to the compiler about the expected behavior of branches. This is done using built-in functions that inform the compiler about the likely direction of branches, enabling more efficient branch prediction.
GCC Branch Prediction Hints:
__builtin_expect(expr, value)
: This tells the compiler thatexpr
is expected to equalvalue
. It's often used with conditionals to indicate which branch is more likely.
Consider a function that searches for an element in a large, sorted array. The function is called frequently, but it's more likely that the searched element isn't present.
#include <stdbool.h>
#include <stddef.h>
#define LIKELY(x) __builtin_expect(!!(x), 1)
#define UNLIKELY(x) __builtin_expect(!!(x), 0)
bool search_in_array(int *array, size_t size, int key) {
for (size_t i = 0; i < size; i++) {
if (UNLIKELY(array[i] == key)) {
return true;
}
}
return false;
}
int main() {
int large_array[] = {/* large sorted array */};
size_t size = sizeof(large_array) / sizeof(large_array[0]);
int key_to_search = 10;
if (search_in_array(large_array, size, key_to_search)) {
// handle the case where the element is found
} else {
// handle the case where the element is not found
}
return 0;
}
Explanation:
LIKELY
andUNLIKELY
macros use__builtin_expect
to give hints to the compiler.In
search_in_array
, the conditionarray[i] == key
is marked asUNLIKELY
, informing the compiler that it's more likely that this condition will be false.This hint helps the compiler optimize the code for the common case (element not found), potentially improving the performance of this function in scenarios where the function is called frequently with elements not present in the array.
Remember, the actual performance impact of such hints can vary based on the specific processor and workload, and overusing them can sometimes lead to poorer performance. It's often best to use them judiciously and based on profiling data.
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Written by
Jyotiprakash Mishra
Jyotiprakash Mishra
I am Jyotiprakash, a deeply driven computer systems engineer, software developer, teacher, and philosopher. With a decade of professional experience, I have contributed to various cutting-edge software products in network security, mobile apps, and healthcare software at renowned companies like Oracle, Yahoo, and Epic. My academic journey has taken me to prestigious institutions such as the University of Wisconsin-Madison and BITS Pilani in India, where I consistently ranked among the top of my class. At my core, I am a computer enthusiast with a profound interest in understanding the intricacies of computer programming. My skills are not limited to application programming in Java; I have also delved deeply into computer hardware, learning about various architectures, low-level assembly programming, Linux kernel implementation, and writing device drivers. The contributions of Linus Torvalds, Ken Thompson, and Dennis Ritchie—who revolutionized the computer industry—inspire me. I believe that real contributions to computer science are made by mastering all levels of abstraction and understanding systems inside out. In addition to my professional pursuits, I am passionate about teaching and sharing knowledge. I have spent two years as a teaching assistant at UW Madison, where I taught complex concepts in operating systems, computer graphics, and data structures to both graduate and undergraduate students. Currently, I am an assistant professor at KIIT, Bhubaneswar, where I continue to teach computer science to undergraduate and graduate students. I am also working on writing a few free books on systems programming, as I believe in freely sharing knowledge to empower others.