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

1 Storage devices Existing devices Hierarchical storage 2 Distributed storage Data distribution Data federation 3 Parallelizing files’ storage Striping Introduction to Map/Reduce 4 Conclusion

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）Optimizing existing large codebase-pres

1 Risks of data loss and corruption 2 Data consistency Checksums Block checksums 3 Data safety Redundancy Parity Erasure coding 4 Conclusion

光位移测量头是运用CCD或PSD做接受器的一种高精度、高速激光位移测量仪器。测量头的设计是确保测量精度的关键。本文论述了一种基于光三角法测量原理，采用6V，15W的溴钨灯作为光源，CCD作光电接收器的激光测头。文章对激光测头的照明系统、投影系统、接收系统及数据处理系统的有参量确定进行了讨论并着重论述了测量头的一些重要参数的选择和计算。对测量精度进行了分析。提出了激光测头的精度标定方法，并通过实验对其进行了标定。此外还论述了计算机处理系统的软件、硬件配置。激光测头可由微机控制实现快速、精确、自动测量