6.1 定义与性质 6.2 存储实现基本操作的实现 6.3 二叉树的遍历 6.4 线索二叉树 6.5 二叉树的应用

9.1 基本概念与术语 9.2 静态查找表 9.3 动态查找表 9.4 哈希表查找(杂凑法)

这一章描述了组对象的视图与过程。对一个组我们可以计算各种统计量，描述不同序列之间的关系，并以各种方式显示出来，例如表格、数据表、图等

吉林大学：《数量经济软件选讲》课程教学资源（PPT课件讲稿）EViews基础——第6章 数据操作

中国科学院高能所计算中心：数据技术上机 Data Technologies – CERN School of Computing 2019

Intro Threading Safety Solutions 1 Introduction and expectations Scope : what is parallelism ? Finding parallelism Expectations 2 Threading, theory and practice Processes and threads Python threading C ++threading and async 3 Thread-safety issues Data races Thread safety 4 Thread-safety solutions Avoid the problem Replicate Atomics Locking

1 Introduction 2 Measuring vectorization 3 Vectorization Prerequisite 4 Vectorizing techniques in C++ Autovectorization Inline assembly Intrinsics Compiler extensions Libraries 5 What to expect ?

中国科学院：CERN专题计算学校《T-CSC数据存储》课程教学资源（讲义）Modern programming languages for HEP-booklet

1 Measuring Performance What is performance ? Tools available Finding bottlenecks 2 Code modernization 3 Improving Memory Handling Context Containers and memory Container reservation Detecting offending code 4 The nightmare of thread safety Context and constraints Identifying problems Solving problems Thread contention 5 Low level optimizations Scope and target How to measure ? Improving 6 Conclusion

1 Data format Row vs Column 2 Compressing data Compression algorithms Efficiency and use cases 3 Data addressing Hierarchical namespaces Limitations Flat namespaces 4 Stateful interfaces POSIX Limitations Stateless interfaces 5 Conclusion