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

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

beast. 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

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

HUAWEI.COM Experience on Fast Microservice Programming Security Level: Ju Zhen, Yang Bo Open Source Software Capability Center 2018-10-12 Contents • Case Introduction • Provider Development •

(forward_kinematics_test forwardkinematicsTest.cpp) {URDF_FILE (ROOT (TIP URDF_FILE} sfROOT} sfTIP)) fast_forward kinematics_ Library) add_executabte(forward kinematics_test forwardkinematicsTest.cpp) {URDF_FILE {URDF_FILE (ROOT (TIP (S{URDF_FILE} sfROOT) sfTIP)) target_Link_Libraries(forward kinematics_test PUBLIC fast_forward kinematics_ Library) URDF_FILE ROOT_LINK TIP_LINK) (Python Interpreter) D Python_EXECUTABLE) ${CMAKE_SOURCE_DIR)}/scripts/get_num_joints.py URDF_FILE ROOT LINK TIP_LINK FAST_FK_NUMBER_OF JOINTS STDOUT (ExternatProject) ExternatProject_Add{ LBFGSpp CMAKE_BINARY_DIR}MLBFGSpp

GPU access to Infiniband allows GPU-to-GPU network transfers 2) Fast in-node fabrics like NVLink, Infinity Fabric allow very fast intra-node transfers DataGPUs as a First-Class Computing Resource GPU access to Infiniband allows GPU-to-GPU network transfers 2) Fast in-node fabrics like NVLink, Infinity Fabric allow very fast intra-node transfersGPUs as a First-Class Computing Resource CPU GPU access to Infiniband allows GPU-to-GPU network transfers 2) Fast in-node fabrics like NVLink, Infinity Fabric allow very fast intra-node transfersGPUs as a First-Class Computing Resource CPU

years ago.LISP Values of compiled functions are computed about 60 times as fast as they would if interpreted. Compilation is fast enough so that it is not necessary to punch compiled program for future more time and optimize the important functions, instead of optimizing the first thing you see.DPF Fast, Flexible Message Demultiplexing using Dynamic Code Generation A new packet-filter system, DPF (Dynamic packet-filter language that is aggressively optimized using dynamic code generation. — 1994 (read)DPF Fast, Flexible Message Demultiplexing using Dynamic Code Generation A new packet-filter system, DPF (Dynamic