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

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

1 Modern Computing Hardware (CPU/GPU), Low-level insights

Slides Session1_hw.pdf

10:30 Break

2 Overview of programming languages and paradigms

Slides Session1_compilers.pdf Session1_proglangs.pdf

12:00 Lunch break

Development Tools

Integrated Development Environments, Version Control Systems, Build Systems

3 Integrated Development Environments

Slides Session2_IDE.pptx

15:00 Break

4 Version Control, Build Systems

Slides Session2_IDE.pdf

Tuesday 24 November

Modern C++ I.

5 Migrating from Fortran and C to modern C++

6 C++ Language Basics

10:45 Break

7 New C++ features

12:00 Lunch Break

Modern C++ II.

8 Template Meta-Programming and Multi-Threading

15:00 Break

9 Coding Guidelines, Best Practices, Recommended Libraries, Future tendencies

Wednesday 25 November

Introduction to GPU Programming

10 GPU Programming APIs (CUDA, OpenCL, C++AMP, SyCL)

10:30 Break

11 GPU Programming Language bindings, compromises, limitations, future

12:00 Lunch Break

Introduction to Functional Programming

12 Introduction to Functional Programming

14:45 Break

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