Lectures on Modern Scientific Programming

23 Nov 2015, 09:00 → 25 Nov 2015, 16:30 Europe/Budapest

Building 3, 2nd floor, Council Room (Wigner RCP)

Lectures on Modern Scientific Programming

The Wigner GPU-Lab organizes a three-day seminar series on Modern Scientific Programming in 23-25 November, 2015. These lectures review topics relevant to everyone working on scientific simulations or high-performance computing.
The lectures are highly recommended to those who are:

• Actively engaged in high-performance computing or analysis
• Author code where execution time is important
• Wish to learn (more) about parallel computing
• University students who plan to use programming daily in their field

The lectures may be of interest to those who are:

• Using interpreted math environments (Mathematica, Maple, Matlab, etc.) and wish to understand the run time costs
• Seasoned programmers but care to learn good practices and a few tricks

The lectures are free to attend, but registration is required for the secured entry to the KFKI Campus!

Monday 23 November

09:00 → 12:00 Overview of modern hardware details and programming language basics

Modern Computing Hardware (CPU/GPU), Low-level insights to CPUs and GPUs, Overview of programming languages and paradigms

09:00 Modern Computing Hardware (CPU/GPU), Low-level insights

Slides Session1_hw.pdf

10:30 Break

10:45 Overview of programming languages and paradigms

Slides Session1_compilers.pdf Session1_proglangs.pdf

12:00 → 13:30 Lunch break

13:30 → 16:30 Development Tools

Integrated Development Environments, Version Control Systems, Build Systems

13:30 Integrated Development Environments

Slides Session2_IDE.pptx

15:00 Break

15:15 Version Control, Build Systems

Slides Session2_IDE.pdf

Tuesday 24 November

09:00 → 12:00 Modern C++ I.

09:00 Migrating from Fortran and C to modern C++

09:30 C++ Language Basics

10:45 Break

11:00 New C++ features

12:00 → 13:30 Lunch Break

13:30 → 16:30 Modern C++ II.

13:30 Template Meta-Programming and Multi-Threading

15:00 Break

15:15 Coding Guidelines, Best Practices, Recommended Libraries, Future tendencies

Wednesday 25 November

09:00 → 12:00 Introduction to GPU Programming

09:00 GPU Programming APIs (CUDA, OpenCL, C++AMP, SyCL)

10:30 Break

10:45 GPU Programming Language bindings, compromises, limitations, future

12:00 → 13:30 Lunch Break

13:30 → 16:30 Introduction to Functional Programming

13:30 Introduction to Functional Programming

14:45 Break

15:00 Functional programming and Parallelism, Examples from Numerical Physics (in C++), relation to Category Theory