1 Why python and C++ Pros and Cons of each language Respective usecases 2 C ++getting usable Language “simplifications” Making bad code harder to write 3 Performant C++ New performance related features Templates Avoiding virtuality when possible 4 Migrating from Python 2 to python 3 Tour of python 3 changes How to support both versions How to migrate 5 Conclusion

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

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

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

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

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

1. IO system • What do you know already? • IOPS, bandwidth, latency & blocksize • media and their characteristics • cache & IO optimisation strategies • how to debug IO problems 2. Redundancy Technology • Parity for RAID technology 3. Cloud Storage Technology • Scalability, Hashing, Indexing,, Deduplication

第1章：计算机系统漫游 第2章：信息的表示和处理 第3章：程序的机器级表示 第4章：处理器体系结构 第5章：优化程序性能 第6章：存储器层次结构 第7章：链接 第8章：异常控制流 第9章：虚拟内存 第10章：系统级I/O 第11章：网络编程 第12章：并发编程

Basic Principles in Computer Architecture Multiprocessor, many-core Design Power-aware CPU Design Scheduling Techniques GPU-related Techniques Datacenter-related Techniques Neural Network Chips Design of TianHe Supercomputer

《机器学习与知识发现》教学资源：Linear Algebra Review and Reference