Exploring C++ Memory Management: Theoretical Insights

Exploring C++ Memory Management: Theoretical Insights

Click the blue text to follow us Author | daydreamer In internet services, C++ is often used to build high-performance, high-concurrency, high-traffic, and low-latency backend services. How to allocate memory reasonably to meet the high-performance requirements of the system is a frequent and important topic, and due to the characteristics of memory itself and the … Read more

Is The TCP/IP Protocol Stack Better in Kernel Mode or User Mode?

Is The TCP/IP Protocol Stack Better in Kernel Mode or User Mode?

From: CSDN, Author: dog250 Link: https://blog.csdn.net/dog250/article/details/80532754 “Is the TCP/IP protocol stack better in kernel mode or user mode?” The root of the question lies in why we must deliberately distinguish between kernel mode and user mode. Introduction To avoid making this article a dull lecture, I will start with an example analysis. Recently, I have … Read more

Is TCP/IP Protocol Stack Better in Kernel Mode or User Mode?

Is TCP/IP Protocol Stack Better in Kernel Mode or User Mode?

Original: https://blog.csdn.net/dog250/article/details/80532754 “Is the TCP/IP protocol stack better in kernel mode or user mode?” The root of the problem lies in why we must deliberately distinguish between kernel mode and user mode. Introduction To avoid making this article a dry lecture, I will start with an example analysis. Recently, I have been comparing the packet … Read more

CFFI: The Best C Interface Library for Python

CFFI: The Best C Interface Library for Python

CFFI: The Best C Interface Library for Python Friends, today I bring you a fantastic Python library called cffi. This library acts as a bridge between Python and C, allowing our Python code to seamlessly share C functions and data types. Isn’t that cool? Let’s explore this magical world together!✨ Library Function Summary In simple … Read more

Introduction to Tracealyzer: Supporting Zephyr RTOS Kernel Analysis

Introduction to Tracealyzer: Supporting Zephyr RTOS Kernel Analysis

Developing software based on Zephyr can be more challenging without effective debugging and analysis tools specifically designed for multithreaded code. Percepio Tracealyzer enables you to quickly troubleshoot and accelerate your daily development. Optimizing your system for reliable real-time performance is convenient, and you can start using this software within 15 minutes with a free evaluation. … Read more

Performance Insights of Kirin 980 and Cortex A76 for 2019 Smartphones

Performance Insights of Kirin 980 and Cortex A76 for 2019 Smartphones

▲Click the above Leifeng Network to follow Written by | Bao Yonggang Reported by Leifeng Network (leiphone-sz) According to Leifeng Network, it hasn’t been long since Arm first announced the new Cortex A76 CPU microarchitecture in June this year. When Cortex A76 was released, Arm made significant commitments regarding performance and efficiency improvements of the … Read more

STM32H7 Extracts The Last Drop Of Blood From Cortex-M7

STM32H7 Extracts The Last Drop Of Blood From Cortex-M7

There is some very important news ST has added a new product line to its STM32 family —— H7 H stands for High Performance (this is my speculation) 7 indicates that this is a modification based on the ARM Cortex-M7 architecture. Familiar engineers might ask, isn’t there already an STM32F7 based on the M7 architecture? … Read more

Efficient Programming and Code Optimization in C (Part 2)

Efficient Programming and Code Optimization in C (Part 2)

Click the blue words to follow usBinary interruption of code Use binary interruption instead of stacking the code in a single column, do not do it like this: if(a==1) { } else if(a==2) { } else if(a==3) { } else if(a==4) { } else if(a==5) { } else if(a==6) { } else if(a==7) { } … Read more

12 Ways to Accelerate Python Loops, Speeding Up to 900x

Follow 👆 the official account, reply 'python' to receive a beginner tutorial! Source from the internet, please delete if infringed. In this article, I will introduce some simple methods that can increase the speed of Python for loops by 1.3 to 900 times. A commonly used built-in feature in Python is the timeit module. In … Read more

High-Performance SIMD in C++

High-Performance SIMD in C++

High-Performance SIMD in C++ Recently, I have been looking at related content on vectorization, and it seems a bit overwhelming. Taking this opportunity to learn about high-performance SIMD programming. SIMD stands for Single Instruction, Multiple Data. In traditional computer architecture, the CPU can only process one data element at a time. However, many tasks involve … Read more