Table of Contents
introduction
Review of basic knowledge
Core concept or function analysis
Definition and function of performance and speed
How it works
Example of usage
Basic usage of Golang
Basic usage of C
Common Errors and Debugging Tips
Performance optimization and best practices
Home Backend Development Golang Golang vs. C : Performance and Speed Comparison

Golang vs. C : Performance and Speed Comparison

Apr 21, 2025 am 12:13 AM
golang c++

Golang is suitable for rapid development and concurrent scenarios, while C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for the development of high-concurrency Web services. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang vs. C: Performance and Speed ​​Comparison

introduction

In the arena of performance and speed, Golang and C have always been hot topics for programmers. Today, we are not only comparing their performance and speed, but also delving into their performance in practical applications, as well as some of the experience and insights I personally have accumulated when using these two languages. Through this article, you will learn about their performance and speed differences, and how to choose the right language in different scenarios.

Review of basic knowledge

Golang, developed by Google, was designed to be simple and efficient, suitable for concurrent programming. Its garbage collection mechanism and built-in concurrency support make it shine in modern development. C, as an extension of C, provides more powerful object-oriented programming capabilities and performance optimization options, and is the first choice for system programming and high-performance computing.

Before discussing performance and speed, we need to understand their compilation and execution models. Golang is a compiled language, but it has a runtime environment (runtime) responsible for garbage collection and concurrent scheduling. C is also a compiled language, but it does not have a runtime environment, and all memory management and resource scheduling require manual control by programmers.

Core concept or function analysis

Definition and function of performance and speed

Performance and speed are crucial indicators in programming. Performance usually refers to the ability of a program to complete tasks within a given time, while speed more specifically refers to the speed of the program execution. One of Golang's design goals is to enable developers to write high-performance code quickly, while C provides finer granular control, allowing developers to achieve extreme performance by optimizing code.

In Golang, performance and speed improvements depend more on the optimization and concurrency mechanism of the language itself. In C, developers need to have a deeper understanding of hardware and compiler optimization technologies in order to maximize performance and speed.

How it works

Golang's performance and speed are mainly due to its compiler and runtime environment. The compiler compiles Golang code into machine code, and the runtime environment is responsible for memory management and concurrent scheduling. Although Golang's garbage collection mechanism brings some overhead, it also greatly simplifies the work of developers.

C's performance and speed depend on its powerful compiler optimization and manual memory management. The C compiler can improve the execution speed of code through various optimization techniques (such as loop expansion, inline functions, etc.). At the same time, developers can further optimize performance by manually managing memory and resources.

Example of usage

Basic usage of Golang

 package main

import (
    "fmt"
    "time"
)

func main() {
    start := time.Now()
    sum := 0
    for i := 0; i < 10000000; i {
        sum = i
    }
    elapsed := time.Since(start)
    fmt.Printf("Sum: %d, Time: %v\n", sum, elapsed)
}

This Golang code shows how to calculate the sum of a large number and measure the execution time. Golang's concurrency nature makes it perform well when dealing with a large number of computing tasks.

Basic usage of C

 #include <iostream>
#include <chrono>

int main() {
    auto start = std::chrono::high_resolution_clock::now();
    long long sum = 0;
    for (long long i = 0; i < 10000000; i ) {
        sum = i;
    }
    auto end = std::chrono::high_resolution_clock::now();
    auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
    std::cout << "Sum: " << sum << ", Time: " << duration.count() << " microseconds" << std::endl;
    return 0;
}

This C code shows how to calculate the sum of a large number using C and measure the execution time. C can achieve the ultimate in performance through manual optimization and compiler optimization.

Common Errors and Debugging Tips

In Golang, common performance issues are often related to garbage collection. Excessive memory allocation and release can cause frequent garbage collection to be triggered, which affects performance. You can reduce the number of memory allocations by using an object pool.

In C, common performance issues are often associated with memory leaks and improper resource management. Using smart pointers such as std::unique_ptr and std::shared_ptr can effectively avoid memory leaks. At the same time, the rational use of RAII (Resource Acquisition Is Initialization) technology can ensure the correct release of resources.

Performance optimization and best practices

In Golang, performance optimization often focuses on reducing the overhead of garbage collection and leveraging concurrency features. The overall performance of the program can be improved by using sync.Pool to reduce memory allocation, or concurrent computing can be implemented through goroutine and channel .

In C, performance optimization requires more detailed control. Compilation-time calculations can be performed using constexpr , using std::vector instead of dynamic arrays to reduce the number of memory allocations, and at the same time, the calculation performance can be further improved by manually optimizing loops and using SIMD instruction sets.

In practical applications, I found that Golang is more suitable for rapid development and concurrent scenarios, while C is more suitable for scenarios that require extreme performance and low-level control. For example, when developing a highly concurrent web service, Golang can quickly get started and utilize its concurrency characteristics to improve performance; while when developing an embedded system that requires direct operation of hardware resources, C provides stronger control and performance optimization space.

In short, whether Golang or C is chosen depends on your specific needs and project background. While pursuing performance and speed, development efficiency and maintenance costs should also be considered. Hope this article helps you make a smarter choice between Golang and C.

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