▼ Click the card below to follow me ▲ Click the card above to follow me Python developers often encounter an awkward scenario: as the scale of the project expands, the complexity of the code grows exponentially. Managing large applications is like taming a dragon – it seems impossible, but with the right techniques, it … Read more
Click the aboveblue text to follow us In C language development for microcontrollers, the use of global variables is indeed very common. This programming style is mainly due to several important reasons: 1 Performance and Resource Constraints In embedded systems, resources (such as memory and CPU time) are often very limited. Using global variables can … Read more
The Role of C Language in Deep Learning: Methods and Examples In the field of deep learning, Python is often the preferred programming language due to its vast ecosystem and rich library support. However, in certain specific scenarios, the C language is particularly important due to its high performance and low-level control capabilities. In this … Read more
NEWS Professor Yin Jieming’s Team Achieves Significant Results at the International Top Conference DAC 2025 Recently, the research paper titled “FineRR-ZNS: Enabling Fine-Granularity Read Refreshing for ZNS SSDs”, authored by Li Jun as the first author from Professor Yin Jieming’s team at Nanjing University of Posts and Telecommunications’ School of Computer, School of Software, and … Read more
Memory Management Implementation in Embedded Systems: From Static Allocation to Dynamic Memory Pools Introduction In resource-constrained embedded systems, the efficiency and reliability of memory management are particularly important. This article will detail commonly used memory management techniques in embedded systems, from simple static allocation to complex dynamic memory pool implementations. Static Memory Management Fixed Partition … Read more
In modern application development, performance optimization is a core requirement in many scenarios, especially when dealing with large-scale numerical computations. Single Instruction, Multiple Data (SIMD) technology significantly enhances computational efficiency by processing multiple data points in parallel. This article will delve into the fundamental concepts, core types, usage methods, performance benchmarks, and best practices of … Read more
IoT Data Platform: Building a Real-Time Monitoring System with MQTT and InfluxDB It was a sultry summer last year when our team took on a large factory’s equipment monitoring project. The outdated system used MySQL to store sensor data collected every 5 minutes, resulting in the database crashing when operations wanted to view real-time trends … Read more
Hello, I am Yule~ In the previous article on advanced C++ programming techniques regarding cache lines, we discussed the impact of cache lines on program performance. However, sometimes, even within the same cache line, there can be interference, which is what this article will discuss: <span>False Sharing</span>. Since the previous writing was somewhat rushed, some … Read more
01 Use Structures to Store Common Variables in AdvanceWhen writing preprocessing and postprocessing functions, certain variables, such as the shape of the model input tensor and count, are often used multiple times. If these values are recalculated in each processing function, it will increase the computational load during deployment. In such cases, consider using a … Read more
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