https://www.cppnow.org/​ https://www.linkedin.com/company/cppnow --- SIMD Libraries in C++ - Jeff Garland - CppNow 2023 Slides: https://github.com/boostcon --- Vector processing to accelerate computation developed more than forty years in the 1970's. At the time limited to extremely expensive machines dedicated to large mathematical problems. By 2016, single instruction multiple data (SIMD) registers and pipelines started occupying the silicon of processors available on every desktop. While the early promise of SIMD seemed to rely on the idea of the compiler vectorizing loops automatically, that mostly has not happened. Instead, over time programmers started exploring how to directly utilize SIMD by altering algorithms to directly exploit parallelism. The performance results were staggering with some SIMD algorithms producing trouncing the performance of highly optimized code. In 2023, a new era is dawning where portable SIMD applications can be built on top of libraries targeted at application developers. Most notably for c++ std::simd. The goal of the session is to provide a starting point for developers interested in exploiting SIMD in c++. This session will be a tour through various c++ libraries utilizing SIMD. We will overview application level libraries for json parsing, compression, and crc processing that keep all the SIMD details below the interface. As well as 'developer libraries' that provide abstractions to enable the development of new parallel algorithms. We'll discuss the design choices and trade-offs made by these libraries. The final part of the talk is an introduction to the proposed for c++26 std::simd and all of it's components. This includes data-parallel types via std::simd and it's related traits and Abi facilities. In addition to types the talk will cover algorithms and the role of std::simd_mask. We will also cover the nuts and bolts of getting access to the preliminary implementation via gcc11 and up. This session will be an adjunct to Library in a Week where we will be working on writing parallel algorithms using std::simd. http://wg21.link/P1928 --- Jeff Garland Jeff Garland has worked on many large-scale, distributed software projects over the past 30+ years. The systems span many different domains including telephone switching, industrial process control, satellite ground control, ip-based communications, and financial systems. He has written C++ networked code for several large systems including the development high performance network servers and data distribution frameworks.Mr. Garland’s interest in Boost started in 2000 as a user. Since then he has developed Boost.date_time, become a moderator, served as a review manager for several libraries (including asio and serialization), administered the Boost wiki, and served as a mentor for Google Summer of Code. Mr. Garland holds a Master’s degree in Computer Science from Arizona State University and a Bachelor of Science in Systems Engineering from the University of Arizona. He is co-author of Large Scale Software Architecture: A Practical Guide Using UML. He is currently Principal Consultant for his own company: CrystalClear Software, Inc. --- Video Sponsors: think-cell and Bloomberg Engineering Audience Audio Sponsors: Innoplex and Maryland Research Institute --- Videos Filmed & Edited By Bash Films: https://bashfilms.com/ YouTube Channel Managed & Optimized By Digital Medium Ltd: https://events.digital-medium.co.uk/ --- CppNow 2024 https://www.cppnow.org/​ https://twitter.com/cppnow --- #boost #cpp #cppprogramming