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on
1
Intro
2
The performance story
3
Overview
4
Modern CPUs
5
Instructions are "free", memory b/w isn't
6
Cache hierarchy
7
Measurement - Big O notation
8
Data layout and performance
9
Vectorisation (2)
10
Move semantics and rvalue references
11
Move semantics example
12
Implementing move semantics
13
Memory allocations and STL
14
Optimisation - hash function
15
Binary search on a sorted collection
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Domain knowledge
17
questions about data access
18
Non-primary key access
19
Range scans and sequential access
20
Read/write ratio
21
Working set size • How much of the common dan will fit in main
22
Consistency
23
Summary
Description:
Explore a comprehensive guide to creating high-performance C++ applications, covering multiple levels of optimization. Learn about the crucial role of domain knowledge, selecting appropriate data structures and algorithms, efficient memory allocation, and leveraging modern machine architectures and caches. Discover the benefits of move semantics, various string handling techniques, and the importance of measurement in performance optimization. Delve into topics such as vectorization, rvalue references, STL memory allocations, hash function optimization, and binary search on sorted collections. Gain insights into data access patterns, working set sizes, and consistency considerations. This 44-minute conference talk by Hubert Matthews at NDC Conferences provides a wealth of knowledge for C++ developers seeking to enhance their application performance.

C++ Performance and Optimisation

NDC Conferences
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