Lectures on Modern Scientific Programming

14 Nov 2016, 09:00 → 16 Nov 2016, 16:45 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 between 14-16 November, 2016. 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
• Would like to interface multiple languages and solve problems with rapid prototyping
• 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, 14 November

Hardware and development tools

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

1 Overview of Modern Hardware Architectures and Technologies

What is in a microchip today? What metrics are important for certain applications? What technologies are arriving to the market in the near future?

10:15 Break / Questions and Answers

2 Platforms and Development tools

Overview of current events in the Windows-Linux world, introduction to some recommended Integrated Development Environments, debugging tools and other useful software.

12:00 Lunch break

Moving from C to C++

Integrated Development Environments, Version Control Systems, Build Systems

3 Gentle introduction to C++

Reasons for learning it, introduction to basic concepts and migration from C to C++

14:45 Break / Questions and Answers

4 Using C++ (Pitfalls, anti-patterns, libraries)

Compiling and linking issues, frequent mistakes, compiler errors, bad usage of language constructs and how to find and fix them. Some useful libraries for scientific applicaitons.

Tuesday, 15 November

Algorithms and Parallelism in C++

5 Algorithms and datastructures

10:15 Break / Questions and Answers

6 Parallel constructs and algorithms in C++

12:00 Lunch Break

Optimizing and Visualizing Simulations

7 Optimization usecases and pitfalls

14:45 Break / Questions and Answers

8 Visualization and Rendering

Wednesday, 16 November

Introduction to Python

9 Introduction to Python

10:15 Break / Questions and Answers

10 Python in Scientific Computing

12:00 Lunch Break

GPU Programming Today and Tomorrow

11 Portable GPGPU using SYCL and ComputeCpp

14:45 Break / Questions and Answers

12 News and trends in hardware, software, compilers and languages