Bicho de sete cabeças. It's not a seven-headed beast. It's not rocket science.Cassio Neri Fast conversion from floating-point numbers CppCon 2024 - Aurora (Independent Researcher)MeMe O Neri's equationMe

Andreas Fertig Write unique code! Fast and small C++ When efficiency matters Presentation Material CppCon, Aurora CO, 2024-09-17© 2024 Andreas Fertig AndreasFertig.com All rights reserved All programs Fertig v1.0 Fast and small C++ 2 Andreas Fertig v1.0 Fast and small C++ 3 Fast and small C++ © 2024 Andreas Fertig https://AndreasFertig.com post@AndreasFertig.com 4Andreas Fertig v1.0 Fast and small std::unique_ptr{fopen("SomeFile.txt", "r"), &fclose}; Andreas Fertig v1.0 Fast and small C++ 5 Fast and small C++ © 2024 Andreas Fertig https://AndreasFertig.com post@AndreasFertig.com

C++ still does not have reflection (introspection): we have to “pick our poison”: • Doing the conversion manually (good luck, you’ll need it) • Automating: • Preprocessing (my poison of choice, twice

Making Games Start Fast A Story About ConcurrencyOnce upon a time, in the early 2000s...We had a small clock speed cap issue...But the solution was easy! Core 🔥🔥🔥 Core 1 Core 2 Core 3 Core 4The Data has to be loaded, but does it have to loaded now? ◉ Our goal is to display the main menu as fast as possible ◉ We can continue loading in background 65Side by Side Comparison 66Loading audio

RapidJSON Boost.JSON simdjson 0 10 20 30 40 Library Time in ms fully validating pull parser fast, O(1) memory usage implicitly define schema github.com/think-cell/think-cell-library Jonathan Müller "Jonathan Müller", "speaker": true, "talks": [ { "title": "Express your expectations", "subtitle": "A fast, compliant JSON pull parser..." } ] } Jonathan Müller — @foonathan Express your expectations CppCon log(object.name) console.log(object.talks[0].subtitle) console.log(object.foo) Jonathan Müller A fast, compliant JSON pull parser for writing robust applications undefined Jonathan Müller — @foonathan

interesting problems • Intra-register sorting • Fast linear median-of-seven filter • Fast small-kernel convolution • Faster (?) UTF-8 to UTF-32 conversion (with AVX2) • No heavy code, but lots of pictures ksize(7) ksize(9) ksize(11) ksize(13) ksize(15)Copyright © 2020 Bob Steagall UTF-8 to UTF-32 Conversion Algorithm 32 CppCon 2020 - Adventures in SIMD ThinkingCopyright © 2020 Bob Steagall K E W B C Bob Steagall K E W B C O M P U T I N G 34 CppCon 2020 - Adventures in SIMD Thinking The Basic Conversion Algorithm (UTF-8 to UTF-32) KEWB_ALIGN_FN std::ptrdiff_t UtfUtils::BasicConvert(char8_t const*

TOFEETPERMINUTE (double)196.9 #define TOMPH (double)2.237 #define TOKPH (double)3.6 // meters to.. conversion #define TONAUTICALMILES (1.0 / 1852.0) #define TOMILES (1.0 / 1609.344) #define TOKILOMETER 0) CppCon 2024: Improving our safety with a quantities and units library The proliferation of conversion macros 13• O�en more than once in the repository #define RAD_TO_DEG (180 / PI) #define RAD_TO_DEG 2957805f CppCon 2024: Improving our safety with a quantities and units library The proliferation of conversion macros 14void DistanceBearing(double lat1, double lon1, double lat2, double

just callable objects . . . . . . . . . . . . . . . . . . . . . . . . . 190 15 Conversion and Promotion 192 15.1 Conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . trying anything else. Once you understand how Julia works, it is easy to write code that is nearly as fast as C. 1.3 Julia Compared to Other Languages Julia features optional typing, multiple dispatch, and source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized code is fast • Designed for parallelism and distributed computation

just callable objects . . . . . . . . . . . . . . . . . . . . . . . . . 190 15 Conversion and Promotion 192 15.1 Conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . trying anything else. Once you understand how Julia works, it is easy to write code that is nearly as fast as C. 1.3 Julia Compared to Other Languages Julia features optional typing, multiple dispatch, and source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized code is fast • Designed for parallelism and distributed computation