Explore complex algorithm development and code generation in this 42-minute conference talk from code::dive 2020. Learn how to simplify the process of creating efficient C++ and CUDA code from compact high-level MATLAB code. Discover techniques for integrating hand-coded source code with generated code and using modern tools like Polyspace to find bugs and prove the absence of critical run-time errors without execution. Gain insights from Daniel Aronsson, a senior application engineer at MathWorks specializing in signal processing and communications system design, as he demonstrates how raising the abstraction level can streamline your development process and improve code quality.
Overview
Syllabus
Raising the abstraction level – Daniel Aronsson – code::dive 2020
Taught by
code::dive conference
