EulerFoldC++ for Scientific Computing: From Fundamentals to High-Performance Simulation
C++ for Scientific Computing: From Fundamentals to High-Performance Simulation
“An 8-week intensive roadmap to learn modern C++ for building high-performance scientific simulations and computational tools. This plan focuses on core language features, performance optimization, and practical application in a scientific context.”
Module 1: C++ Fundamentals and Build Systems
By the end of this module you will be able to compile, build, and run a basic C++ application using a modern toolchain and manage project dependencies with CMake.
Module 2: Memory, Pointers, and Data Structures
By the end of this module you will be able to manage memory explicitly and understand the core principles of data organization in C++ through pointers, references, and structs.
Module 3: Object-Oriented Programming and RAII
By the end of this module you will be able to design and implement robust, resource-safe classes using modern C++ OOP principles and the RAII idiom.
Module 4: The Standard Template Library (STL) In-Depth
By the end of this module you will be able to effectively use STL containers, iterators, and algorithms to write concise, efficient, and expressive code.
Module 5: Modern C++ Features (C++11/14/17)
By the end of this module you will be able to leverage modern C++ features to write safer, faster, and more maintainable code.
Module 6: Generic Programming with Templates
By the end of this module you will be able to write highly reusable and type-safe code for scientific computing using C++ templates.
Module 7: Concurrency and Performance Profiling
By the end of this module you will be able to write simple multi-threaded programs and use profiling tools to identify and analyze performance bottlenecks.
Module 8: Integrating Scientific Libraries and Final Project
By the end of this module you will be able to integrate third-party scientific libraries into a C++ project using CMake and apply all learned concepts to build a complete simulation tool.
References
Week 1: Module 1: C++ Fundamentals and Build Systems
Week 2: Module 2: Memory, Pointers, and Data Structures
Week 3: Module 3: Object-Oriented Programming and RAII
Week 4: Module 4: The Standard Template Library (STL) In-Depth
Week 5: Module 5: Modern C++ Features (C++11/14/17)
Modern C++ for Scientific Computing
tacc.utexas.eduModern C++ Programming Techniques for Scientific ComputingTutorial: Modern C++ for High Performance ComputingGitHub - chavid/ModernScientificCpp: Material for a course ...Scientific Computing with C++ : Part 1 - FlowthermolabAdvanced C++ for High-Performance Computing - OER CommonsScientific Computing in Modern C++ | SIAM Publications Library
conan.iwr.uni-heidelberg.deTutorial: Modern C++ for High Performance Computing
amath583.github.ioWeek 6: Module 6: Generic Programming with Templates
Week 7: Module 7: Concurrency and Performance Profiling
Week 8: Module 8: Integrating Scientific Libraries and Final Project
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