Current Status of AI PCs

Current Status of AI PCs

Microsoft, in collaboration with Intel, AMD, Lenovo, ASUS, Dell, HP, and other manufacturers, has launched AI laptops equipped with NPU (Neural Processing Unit), marking a breakthrough in AI technology for portable devices. This collaboration not only accelerates the transition of AI from the cloud to the edge but also redefines the boundaries of mobile computing … Read more

No Memory Issue That One Line of Python Code Can’t Solve

No Memory Issue That One Line of Python Code Can't Solve

Produced by Big Data Digest Compiled by: Javen, Hu Jia, Yun Zhou Insufficient memory is a common issue encountered during project development. My team and I faced this problem in a previous project where we needed to store and process a fairly large dynamic list. Testers often complained to me about memory shortages. However, in … Read more

Step-by-Step | Is Python Too Slow? Achieve 4x Speedup with Process Pools in Just Three Lines of Code!

Step-by-Step | Is Python Too Slow? Achieve 4x Speedup with Process Pools in Just Three Lines of Code!

This is a work from Big Data Digest, please see the end of the article for reprint requirements. Author | Adam Geitgey Translation | Yuan Yuan, Lisa, Saint, Aileen Python is undoubtedly an excellent programming language for processing data or automating repetitive tasks. Need to scrape web logs? Or adjust a million images? There is … Read more

FBGEMM: A Remarkable C++ Library for Efficient Matrix Operations

FBGEMM: A Remarkable C++ Library for Efficient Matrix Operations

FBGEMM (Facebook General Matrix Multiplication) is a C++ library developed by Meta (Facebook) that is primarily used for low-precision, high-performance matrix multiplication and convolution operations in server-side inference. It is designed for small batch data and can significantly improve inference efficiency while supporting various techniques to reduce precision loss, such as row-wise quantization and outlier-aware … Read more

Unlocking Linux Shared Memory: The Ultra-Fast Channel for Inter-Process Communication

Unlocking Linux Shared Memory: The Ultra-Fast Channel for Inter-Process Communication

1. Overview of Shared Memory Technology Shared Memory is one of the fastest inter-process communication (IPC) methods in Linux systems, allowing multiple processes to access the same physical memory area, thus avoiding the performance overhead of data copying between processes. Compared to other IPC mechanisms such as pipes and message queues, shared memory has the … Read more

Essential Linux Memory Monitoring Commands Explained

Essential Linux Memory Monitoring Commands Explained

Click the blue “Most Programmer” to follow me! Add a “star“, every day at 18:03 to learn technology together The commands include: 1. The free command, which displays the system memory status, including physical memory, swap memory, shared memory, and system cache usage; 2. The cat /proc/meminfo command, which reads the contents of the /proc/meminfo … Read more

Summary of Embedded Development Knowledge Points (Part 3)

Summary of Embedded Development Knowledge Points (Part 3)

Issue 1: The driver cannot load or reports an error after loading. Possible reasons: Incorrect compilation options, module information, dependencies, symbol exports, etc.; the driver is incompatible with the kernel version; the driver is incompatible with the hardware device; errors in the driver’s initialization or exit functions; issues with the driver’s permissions or path settings, … Read more

Unveiling Python Framework Development: Metaprogramming for Scalable Architectures and Enterprise-Level Solutions!

Unveiling Python Framework Development: Metaprogramming for Scalable Architectures and Enterprise-Level Solutions!

Introduction: Want to know the underlying secrets of Django ORM and Flask middleware? This article will guide you through building pluggable framework components using metaprogramming techniques, implementing core functionalities such as automated route registration and dynamic configuration loading step by step! At the end of the article, a Python full-stack development gift package is included, … Read more

Practical Python Performance Optimization: Breaking Through GIL to Distributed Architecture for Million-Level Concurrency Systems!

Practical Python Performance Optimization: Breaking Through GIL to Distributed Architecture for Million-Level Concurrency Systems!

Introduction: Still troubled by Python’s GIL limitations? This article will guide you through breaking performance bottlenecks using underlying principles + practical solutions, achieving a high-performance architecture evolution from single-machine to distributed! A Python full-stack development gift package is included at the end, claim it now >> 1. Analysis of Underlying Principles for Performance Optimization 1️⃣ … Read more

Python Memory Management: Garbage Collection Mechanisms and Performance Optimization Secrets

Python Memory Management: Garbage Collection Mechanisms and Performance Optimization Secrets

1. Memory Management: Python’s “Invisible Steward” Python memory management operates through automatic garbage collection and reference counting, silently handling: • Object creation and destruction • Memory leak prevention • Circular reference handling • Optimization of large memory objects Core Objective: To achieve a balance between development efficiency and runtime performance, allowing developers to avoid manual … Read more