Article directory Preface code Foreword When we need to vectorize large-scale data to store it in a vector database, and there are multiple GPUs at our disposal on the server, we hope to use all GPUs at the same time to parallelize the process and accelerate the vectorization. Code Just a few lines of code, […]
Tag: vectorization
Iteration vs vectorization, how to improve Pandas performance?
This article mainly introduces several iteration and vectorization techniques to explore how to improve the performance of Pandas. Search and follow “Python Learning and Research Basecamp” on WeChat, join the reader group, and share more exciting things In this article, we will explore several ways to improve the performance of your Pandas code through iteration […]
From color bitmaps to color SVG: An in-depth analysis of efficient image vectorization technology using JavaScript
1. Introduction In the world of digital image processing, converting bitmap images to vector images is a common need. Bitmap images are made up of pixels, each of which has a specific color value. Vector images, on the other hand, are composed of paths, lines, and shapes that can be enlarged infinitely without distortion. In […]
CMake: Enable vectorization for Eigen library
CMake: Enable vectorization for the Eigen library preface Build Eigen project structure CMakeLists.txt Related source code Introduction The beginning of this article will involve detecting content related to external libraries, and some other content will be interspersed during the period. In order to enable the system to run the Eigen library in the system, we […]
Dimensionality reduction of KMeans clustering—-vectorization application
Directory KMeans clustering overview Model Evaluation Metrics Labeled Evaluation Metrics Unlabeled Evaluation Metrics Case: Vectorization Application KMeans clustering overview KMeans is a typical representative of clustering algorithms, and it is also the simplest clustering algorithm; in KMeans algorithm, the number K of clusters is a hyperparameter, which needs to be determined by human input. The […]
TiFlash compiler-oriented auto-vectorization acceleration
Introduction to SIMD SIMD (Single Instruction Multiple Data) is an important means of program acceleration. CMU (Carnegie Mellon University, Carnegie Mellon University) DB group has two special chapters (vectorization-1, vectorization-2) in Advanced Database Systems to introduce the application of SIMD vectorization in databases, which shows its impact on modern databases. The importance of the system. […]
Shengsi MindSpore: Automatic vectorization Vmap
2 Join CSDN’s MindSpore community to learn more about AI. Autovectorization (Vectorizing Map, vmap), is a higher-order function for mapping a function fn along an argument axis. Vmap was first proposed by Jax, which eliminates the restriction of operators on the batch dimension and provides more convenient and unified operator expression. At the same time, […]