This is a 2-week class that I created and taught at MIT during IAP (January term) 2023 and 2024. The course is intended for students using empirical or quantitative methods in Economics, including ...

Several years ago I was working with advanced Kalman filtering and quite a lot of numerical programming tasks. At that time, I learned about the "Numerical Recipes", which helped me quite a lot along ...

Late last year, NVIDIA quietly made a move that could redefine the way Python developers and researchers approach numerical computing. Amidst the noise of major AI breakthroughs and hardware ...

Leading mathematics software vendors are working together to define a consistent and manageable foundation for numerical programming. Leading mathematics software vendors and interested individuals ...

Abstract: HiPro-CodeGen is a code generation engine designed for numerical simulation development. Its central objective is to produce a parallel software framework with standard structure for an ...

Science cannot be accomplished nowadays without the help of computers to produce, analyse, treat and visualise large experimental data sets. Scientists are called to code their programs using a ...

Abstract: Building massively parallel numerical simulations is not easy due to lasting changes of parallel programming models and various software technologies needed. We develop a component based ...