Numerical Software Development

This page organizes the technical information for using Python and C++ to develop high-performance and highly flexible numerical software systems. It is also offered as a senior- to graduate-level course.

Course Information

• Introduction
• Practical Project
• Schedule

There are four parts of technical materials: Computer Fundamental, Performance Considerations, System Management, and Design Techniques.

Computer Fundamental

• Fundamental Engineering
• Python and Numpy
• C++ and Computer Architecture

Performance Considerations

• Matrix Operations
• Cache Optimization
• SIMD (Vector Processing)

System Management

• Memory Management
• Ownership and Smart Pointers
• Modern C++

Design Techniques

• C++ and C for Python
• Array Code in C++
• Advanced Python

See also

The former versions can be found in the lecture note of numerical software development.