· Click the blue text to follow us Pillow-SIMD: A Powerful Image Processing Library in Python! Hey, Python enthusiasts! Today, let’s talk about a super powerful image processing library – Pillow-SIMD. This library is essentially an upgraded version of Pillow, using the SIMD instruction set to accelerate image processing, which is like giving your code … Read more
Following Chapter 2 Oracle Database In-Memory Architecture (IM-2.2) This article is the second part of the IM architecture CPU Architecture: SIMD Vector Processing For data that needs to be scanned in the IM column store, the database uses SIMD (Single Instruction, Multiple Data) vector processing. The IM column store maximizes the number of column entries … Read more
Pillow-SIMD: Boosting Image Processing Performance In the field of image processing, performance is often a key consideration, especially when dealing with large volumes of images or real-time processing. Pillow-SIMD is a high-performance branch of the Pillow library, designed specifically for speed optimization. It significantly enhances processing speed by utilizing SIMD (Single Instruction, Multiple Data) technology, … Read more
“My i9 processor is rated at 5GHz, why is processing this array still so slow?!” In the late-night office, Li Lei stared at the slowly moving progress bar, smashing his coffee cup on the table for the nth time. This veteran game client engineer was troubled by a new physical collision detection algorithm—despite optimizing the … Read more
SIMD Optimization: Make Your C++ Code Fly! Hello everyone, today I want to share with you a very cool performance optimization technique – SIMD (Single Instruction Multiple Data). As a veteran in the field of performance optimization, I can tell you that mastering SIMD technology can enhance the performance of your compute-intensive code by 3-4 … Read more
Patent Review-SIMD Series–Vectorization Engine 1. Patent Content Alibaba‘s patent:Method and Device for Vectorized Data Processing, the main idea is: for query scenarios involving row-oriented tables or a mix of row and column storage, it is necessary to manually convert row-oriented tables into column-oriented tables before performing vectorized processing, which is costly. Alibaba provides a method … Read more
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
Pillow-SIMD is like a skilled craftsman of images, capable of transforming our creative ideas into beautiful images at the fastest speed. Imagine running an online art showcase platform where creators upload various styles of paintings, and we need to preprocess these works to enhance their display. For example, adding artistic frames to the paintings, adjusting … Read more
Dot Product Operation and Multiply-Accumulate The dot product operation is a fundamental operation in DSP applications, commonly used in filter and transformation algorithms. The ARM Cortex-M4 provides efficient multiply-accumulate (MAC) instructions for rapid execution of dot product operations. Example Code int32_t dot_product(int32_t *a, int32_t *b, uint32_t length) { int32_t result = 0; for (uint32_t i … Read more
1. Flynn’s Taxonomy In the classification of computer architectures, there is a method called Flynn’s Taxonomy, which classifies systems based on the number of instruction streams and data streams. According to Flynn’s Taxonomy, there are the following categories:1. SISD – Single Instruction Single DataIn this model, the instruction unit processes only one instruction, and the … Read more