Lectures on Modern Scientific Programming

Nov 23, 2015, 9:00 AM → Nov 25, 2015, 4:30 PM 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!

Mon, November 23

9:00 AM → 12:00 PM 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

9:00 AM Modern Computing Hardware (CPU/GPU), Low-level insights

Slides Session1_hw.pdf

10:30 AM Break

10:45 AM Overview of programming languages and paradigms

Slides Session1_compilers.pdf Session1_proglangs.pdf

12:00 PM → 1:30 PM Lunch break

1:30 PM → 4:30 PM Development Tools

Integrated Development Environments, Version Control Systems, Build Systems

1:30 PM Integrated Development Environments

Slides Session2_IDE.pptx

3:00 PM Break

3:15 PM Version Control, Build Systems

Slides Session2_IDE.pdf

Tue, November 24

9:00 AM → 12:00 PM Modern C++ I.

9:00 AM Migrating from Fortran and C to modern C++

9:30 AM C++ Language Basics

10:45 AM Break

11:00 AM New C++ features

12:00 PM → 1:30 PM Lunch Break

1:30 PM → 4:30 PM Modern C++ II.

1:30 PM Template Meta-Programming and Multi-Threading

3:00 PM Break

3:15 PM Coding Guidelines, Best Practices, Recommended Libraries, Future tendencies

Wed, November 25

9:00 AM → 12:00 PM Introduction to GPU Programming

9:00 AM GPU Programming APIs (CUDA, OpenCL, C++AMP, SyCL)

10:30 AM Break

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

12:00 PM → 1:30 PM Lunch Break

1:30 PM → 4:30 PM Introduction to Functional Programming

1:30 PM Introduction to Functional Programming

2:45 PM Break

3:00 PM Functional programming and Parallelism, Examples from Numerical Physics (in C++), relation to Category Theory