Hey, programmers, students, and tech enthusiasts! Have you ever wondered what sparks would fly if the programming giant Python met the mysterious Carson? It would be like a superhero team-up, creating a storm in the programming world! Are you eager to find out? Don’t worry, follow me, and you’ll soon get a glimpse. Python is … Read more
1. std::span and std::mdspan In C++20 and C++23, std::span and std::mdspan were introduced, which can be understood as a type of view or slice similar to that in Go language. While this understanding is not entirely precise, it makes it easier for everyone to accept, serving as a compromise. As a multidimensional array view, std::mdspan … Read more
The NPU (Neural Network Processing Unit, 神经网络处理器) is a dedicated chip designed for artificial intelligence computations, with its core advantage being the efficient execution of neural network-related operations (such as matrix multiplication, convolution operations, activation function calculations, etc.). Compared to traditional CPUs and GPUs, NPUs perform better in terms of energy efficiency and computational speed, … Read more
Are you still confused about CPU, GPU, and NPU? This article will clarify the confusion! Using straightforward language, we will break down these three core computing units. CPU: Central Processing Unit Meaning and Positioning: The CPU is the “brain” of the computer, responsible for executing the instructions of the operating system and various programs, coordinating … Read more
In the field of high-performance computing (HPC), improving computational efficiency and breaking through computational bottlenecks has always been an unremitting goal. SIMD (Single Instruction, Multiple Data) and SIMT (Single Instruction, Multiple Threads) technologies act like two sharp blades, cutting through various high-performance computing scenarios and playing a key role in significantly advancing computational capabilities. 1. … Read more
Comprehensive Comparison Table Feature SIMD (Single Instruction, Multiple Data) SIMT (Single Instruction, Multiple Threads) Core Essence A data parallel execution paradigm/instruction type. A single instruction operates on multiple data elements simultaneously. A thread parallel execution model. A single instruction is executed by multiple threads simultaneously, with each thread processing its own private data. The hardware … Read more
In modern computers, multi-core processors have become mainstream. To fully utilize these hardware resources, we can improve program execution efficiency through parallel computing. This article will introduce how to implement simple parallel computing in C and demonstrate how to optimize using multi-core processors. What is Parallel Computing? Parallel computing refers to breaking down a task … Read more
Utilizing Python’s Multiprocessing Module In modern computing, fully leveraging the capabilities of multi-core processors is an important means to enhance program performance. Python provides the <span>multiprocessing</span> module, which allows us to easily create and manage multiple processes. This article will detail the basic usage of the <span>multiprocessing</span> module and help everyone understand its applications through … Read more
When Efficiency Becomes Competitiveness In the field of industrial inspection, millisecond-level processing delays can mean fluctuations in yield or loss of production capacity. Traditional CPU architectures are limited by serial computation and data transfer bottlenecks, while the parallel computing capabilities of FPGAs are opening new dimensions for real-time image processing. · FPGA Acceleration: A Fundamental … Read more
▼ Click the card below to follow me ▲ Click the card above to follow me When it comes to Python image processing, do you often feel like it’s lagging? Especially when processing a large number of images, the slow speed can make you want to smash your keyboard. Today, I want to introduce you … Read more
