- Julia High Performance
- Avik Sengupta
- 133字
- 2021-07-16 11:20:42
What this book covers
Chapter 1, Julia is Fast, discuses some of the design underpinning the language and its focus on high performance.
Chapter 2, Analyzing Julia Performance, provides the tools and techniques you can use to measure and analyze the performance of your own programs.
Chapter 3, Types in Julia, describes the type system and discusses why writing type-stable code is crucial to high performance.
Chapter 4, Functions and Macros – Structuring Julia Code for High Performance, discusses techniques to use dispatch and code generation to structure high-performance programs.
Chapter 5, Fast Numbers, discusses the basic numeric types and why they are fast.
Chapter 6, Fast Arrays, describes ways to use multidimensional arrays in the fastest possible way.
Chapter 7, Beyond the Single Processor, provides an introduction to Julia's distributed computing facilities.
- scikit-learn Cookbook
- AngularJS Testing Cookbook
- Python數據可視化:基于Bokeh的可視化繪圖
- Programming ArcGIS 10.1 with Python Cookbook
- Julia機器學習核心編程:人人可用的高性能科學計算
- 數據結構習題精解(C語言實現+微課視頻)
- Access 2010數據庫基礎與應用項目式教程(第3版)
- Windows Server 2012 Unified Remote Access Planning and Deployment
- Learning AngularJS for .NET Developers
- Learning jQuery(Fourth Edition)
- 輕松上手2D游戲開發:Unity入門
- JavaScript+jQuery網頁特效設計任務驅動教程
- 3ds Max 2018從入門到精通
- Monitoring Docker
- Responsive Web Design with jQuery