L.P. All rights reserved.© 2024 Bloomberg Finance L.P. All rights reserved. Designing a Slimmer Vector of Variants CppCon 2024 September 18, 2024 Chris Fretz Senior C++ Engineer 2© 2024 Bloomberg details my experience in creating a novel solution to an observed problem with memory usage of std::vector> • The talk starts with the motivating use case, considers several candidate Heterogeneous containers like std::vector> are an extremely natural way to represent data across many different paradigms • Naive usage of std::vector> can result in

1#include #include #include <vector> int a[] = {0, 1, 2, 3, 4}; std::vector c = {0, 1, 2, 3, 4}; auto main() -> int { std::cout << "C style array: " << sizeof(a) / sizeof(a[0]) sizeof(a[0]) << std::endl; std::cout << "Vector size: " << c.size() << std::endl; return 0; } 1 2 3 4 5 6 7 8 9 10 11 12 13 14 https://www.reddit.com/r/cpp/comments/qm6i25/my_professor_is_telling _us_to_never_use_vectors/ 2more std::vector? 3How do you read a technical book front to back? As a technical editor... 4#include int main() { int cppconEarlyYears[6] = {2014, 2015, 2016

Back to Basics: The Abstract Machine Bob Steagall CppCon 2020 K E W B C O M P U T I N GCopyright © 2020 Bob Steagall K E W B C O M P U T I N G Overview/Goals • Describe abstract machines in general general • Describe the C++ abstract machine specifically • Language goals that drive its design • Role in program development and execution • Important definitions and characteristics • Important components components of the abstract machine, and their relationships • Provide a useful overview of the C++ abstract machine CppCon 2020 - The Abstract Machine 2Copyright © 2020 Bob Steagall K E W B C O M P U T I

1 Shiro support for the Spring Security plugin Table of contents 2 Shiro support for the Spring Security plugin - Reference Documentation Authors: Burt Beckwith Version: 0.1 Table of Contents 1 History 2 Usage 3 Configuration 3 1 Introduction The Spring Security Shiro plugin adds some support for using a hybrid approach combining Spring Security and . It currently only supports Shiro ACLs

1 Shiro support for the Spring Security plugin Shiro support for the Spring Security plugin - Reference Documentation Authors: Burt Beckwith Version: 1.0.0 Table of Contents 1 Introduction to the 1 Introduction to the Spring Security Shiro Plugin The Spring Security Shiro plugin adds some support for using a hybrid approach combining Spring and . It currently only supports Shiro ACLs, since

which use CMake ○ C++ modules support ● Working with the community to improve building software ○ ISO standards ■ Dependency format ○ Pushing forward modules support in other build systems ■ xmake needed to order compilations ● Vendored into CMake for its Unix Makefiles generator ● dyndep support added to ninja, merged into 1.10 (released Jan 2020) 11C++ Modules: Example Target add_library(A) up ○ Object (uniqueness constraint) ○ Source file ○ Work directory ○ Arguments (no “command” support) ● Additional fields ○ For modules build graph ■ Provides (mapping of module name to BMI path)

Leveraging the power of C++ for efficient machine learning on embedded devices Adrian Stanciu adrian.stanciu.pub@gmail.com CppCon, 2023 1 / 50About me ◮ I am a software engineer from Romania ◮ I have Motivation ◮ Image classification ◮ Hand gesture recognition ◮ Summary ◮ Q&A 4 / 50Motivation 5 / 50Machine Learning (ML) ◮ Subfield of Artificial Inteligence (AI) ◮ Enables computers to learn from data and consumption ◮ May have real-time performance constraints 7 / 50Machine learning on embedded devices ◮ Alternative to cloud-based machine learning ◮ Advantages: ◮ Real-time processing ◮ Low latency ◮

micrograd++: A 500 line C++ Machine Learning Library Gautam Sharma Independent Researcher gautamsharma2813@gmail.com Abstract—micrograd++ is a pure C++ machine learning li- brary inspired by Andrej Karpathy’s framework for building and training machine learning models. By leveraging the performance efficiency of C++, micro- grad++ offers a robust solution for integrating machine learning capabilities directly into Traditionally, all machine learning libraries are extremely bulky and very hard to integrate as third party dependencies. This aspect scares practitioners to adopt a C++ based machine learning library for

· · · · · · · · · · · · · · · · · · · · · 119 3.1.2 Simulate production deployment on a single machine· · · · · · · · · · · · · · · · 124 3.1.3 What’s next · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 483 4.8 Vector Search · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 489 4.8.1 Vector Search Overview · · · · · · · · · · · · · · · · · · · · · · 501 4.8.4 Improve Vector Search Performance · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 546 4.8.5 Vector Search Limitations· · · · · · · · · · · · · · · ·

· · · · · · · · · · · · · · · · · · · · · 114 3.1.2 Simulate production deployment on a single machine· · · · · · · · · · · · · · · · 119 3.1.3 What’s next · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 478 4.8 Vector Search · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 484 4.8.1 Vector Search Overview · · · · · · · · · · · · · · · · · · · · · · 496 4.8.4 Improve Vector Search Performance · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 541 4.8.5 Vector Search Limitations· · · · · · · · · · · · · · · ·