Name: Introduction to High-Performance Computing
Start: 2011-08-15T08:00:00+02:00
End: 2011-08-26T18:00:00+02:00
Location: KTH main campus

Introduction to High-Performance Computing

from Monday, 15 August 2011 (08:00) to Friday, 26 August 2011 (18:00)

Monday, 15 August 2011

08:15 Registration
Registration
08:15 - 09:00
Room: E3 Registration starts on Monday August 15 at 08.15 in front of lecture room <a href="http://www.infra.kth.se/GIS/projects/classroomSearch/i ndex.php?id=E3">E3</a>
09:15 Welcome to PDC and the Summer School - Jesper Oppelstrup (KTH/CSC) Erwin Laure (PDC-HPC) Michael Hanke (KTH)
Welcome to PDC and the Summer School
- Jesper Oppelstrup (KTH/CSC)
- Erwin Laure (PDC-HPC)
- Michael Hanke (KTH)
09:15 - 10:00
Room: E3
10:00 Break
Break
10:00 - 10:15
Room: E3
10:15 Concepts and Algorithms for Scientific Computing - Björn Engquist (KTH and the University of Austin)
Concepts and Algorithms for Scientific Computing
- Björn Engquist (KTH and the University of Austin)
10:15 - 12:00
Room: E3
12:00 Lunch
Lunch
12:00 - 13:15
Room: On your own
13:15 Introduction to PDC's Environment - Elisabet Molin (PDC)
Introduction to PDC's Environment
- Elisabet Molin (PDC)
13:15 - 14:00
Room: E3
14:15 High-Performance Computer Architecture - Erik Hagersten (Uppsala University)
High-Performance Computer Architecture
- Erik Hagersten (Uppsala University)
14:15 - 15:00
Room: E3
15:00 Break
Break
15:00 - 15:15
Room: E3
15:15 High-Performance Computer Architecture - Erik Hagersten (Uppsala University)
High-Performance Computer Architecture
- Erik Hagersten (Uppsala University)
15:15 - 17:00
Room: E3
17:30 Get-together Picnic
Get-together Picnic
17:30 - 19:00
Room: Ljusgården
Tuesday, 16 August 2011
09:15 High-Performance Computer Architecture - Erik Hagersten (Uppsala University)
High-Performance Computer Architecture
- Erik Hagersten (Uppsala University)
09:15 - 10:00
Room: E3
10:00 Break
Break
10:00 - 10:15
Room: E3
10:15 High-Performance Computer Architecture - Erik Hagersten (Uppsala University)
High-Performance Computer Architecture
- Erik Hagersten (Uppsala University)
10:15 - 12:00
Room: E3
12:00 Lunch
Lunch
12:00 - 13:15
Room: On your own
13:15 Current State of Computing - Sverker Holmgren (Uppsala University and SNIC)
Current State of Computing
- Sverker Holmgren (Uppsala University and SNIC)
13:15 - 14:00
Room: E3 In this presentation, an overview of the computing landscape in Sweden and internationally will be given. Also, two concrete examples of scientific computing problems in different disciplines will be described and the impact of models, numerical methods, implementation and computer architecture will be discussed.
14:15 Lab: Introduction to PDC's Environment - Elisabet Molin (PDC)
Lab: Introduction to PDC's Environment
- Elisabet Molin (PDC)
14:15 - 15:00
Room: Orange and Red
Machine Room Tour
Machine Room Tour
14:15 - 17:00
Room: PDC Machine Room

15:00 Break
Break
15:00 - 15:15
Room: E3
15:15 Lab: Introduction to PDC's Environment - Elisabet Molin (PDC)
Lab: Introduction to PDC's Environment
- Elisabet Molin (PDC)
15:15 - 17:00
Room: Orange and Red
Wednesday, 17 August 2011
09:15 Shared memory programming, OpenMP - Thomas Ericsson (Chalmers)
Shared memory programming, OpenMP
- Thomas Ericsson (Chalmers)
09:15 - 10:00
Room: E3 Two common ways of speeding up programs are to use processes or threads executing in parallel. The second week of the Summer School presents process-based parallel computing using MPI. In this lecture parallelization using threads will be discussed. Threads can be managed in different ways, e.g. using a low level library, like the POSIX threads library. The lecture deals with OpenMP, which is a more convenient way to use threads. OpenMP is a specification for a set of compiler directives, library routines, and environment variables that can be used to specify shared memory parallelism in Fortran and C/C++ programs. The threaded program can be executed on a shared memory computer (e.g. a multi- core processor). Typically, the iterations of a time consuming loop are shared among a team of threads, each thread working on part of the iterations. The loop is parallelized by writing a directive in the code and a compiler or a pre- processor will generate parallel code. Using short code examples, the lecture covers the most important OpenMP-constructs, how to use them and how not to use them. A few more realistic examples are presented as well.
10:00 Break
Break
10:00 - 10:15
Room: E3
10:15 Shared memory programming, OpenMP - Thomas Ericsson (Chalmers)
Shared memory programming, OpenMP
- Thomas Ericsson (Chalmers)
10:15 - 12:00
Room: E3 See preceding description.
12:00 Lunch
Lunch
12:00 - 13:15
Room: On your own
13:15 Shared memory programming, OpenMP - Thomas Ericsson (Chalmers)
Shared memory programming, OpenMP
- Thomas Ericsson (Chalmers)
13:15 - 14:00
Room: E3 See preceding description.
14:15 Lab: Programming Exercises on OpenMP - Niclas Jansson (KTH/CSC)
Lab: Programming Exercises on OpenMP
- Niclas Jansson (KTH/CSC)
14:15 - 15:00
Room: Orange and Red
15:00 Break
Break
15:00 - 15:15
Room: E3
15:15 Lab: Programming Exercises on OpenMP - Niclas Jansson (KTH/CSC)
Lab: Programming Exercises on OpenMP
- Niclas Jansson (KTH/CSC)
15:15 - 17:00
Room: Orange and Red
Thursday, 18 August 2011
09:15 Code optimization - Thomas Ericsson (Chalmers)
Code optimization
- Thomas Ericsson (Chalmers)
09:15 - 10:00
Room: E3 In this lecture techniques for speeding up code on a uniprocessor are presented. The lecture covers basic optimization principles such as using the memory hierarchy in an efficient way. Using short code examples, the lecture covers stride minimization, blocking, loop- fusion, loop-splitting and other approaches. The choice of programming language (Fortran or C), and compiler will be discussed. There are some hints of how to tune Matlab programs. Other topics are vector arithmetic for floating point and elementary functions, virtual memory, files and the LAPACK and BLAS libraries.
10:00 Break
Break
10:00 - 10:15
Room: E3
10:15 Code optimization - Thomas Ericsson (Chalmers)
Code optimization
- Thomas Ericsson (Chalmers)
10:15 - 12:00
Room: E3 See preceding description.
12:00 Lunch
Lunch
12:00 - 13:15
Room: On your own
13:15 Lab: OpenMP Advanced Project - Niclas Jansson (KTH/CSC)
Lab: OpenMP Advanced Project
- Niclas Jansson (KTH/CSC)
13:15 - 15:00
Room: Orange and Red
15:00 Break
Break
15:00 - 15:15
Room: E3
15:15 Lab: OpenMP Advanced Project - Niclas Jansson (KTH/CSC)
Lab: OpenMP Advanced Project
- Niclas Jansson (KTH/CSC)
15:15 - 17:00
Room: Orange and Red
Friday, 19 August 2011
08:30 Wrap up: OpenMP Advanced Project - Niclas Jansson (KTH/CSC)
Wrap up: OpenMP Advanced Project
- Niclas Jansson (KTH/CSC)
08:30 - 09:00
Room: E3
09:15 GPU Architectures for Non-Graphics People - David Black-Schaffer (Uppsala University)
GPU Architectures for Non-Graphics People
- David Black-Schaffer (Uppsala University)
09:15 - 10:00
Room: E3 Today everyone is positioning GPUs for general purpose computing. They claim that you can get 10-100x speedups over conventional CPUs, and sometimes they're even right. However, to get the most out of current- (and next-) generation GPUs, one needs to understand the architectural differences and how they effect your choice of algorithm. In this talk I will cover GPU architecture in comparison to current CPUs, discuss the implications for getting good performance, and introduce OpenCL as a general-purpose programming language for accessing GPUs and CPUs today.
10:00 Break
Break
10:00 - 10:15
Room: E3
10:15 Introduction to OpenCL - David Black-Schaffer (Uppsala University)
Introduction to OpenCL
- David Black-Schaffer (Uppsala University)
10:15 - 12:00
Room: E3
12:00 Lunch
Lunch
12:00 - 13:15
Room: On your own
13:15 Lab: OpenCL - David Black-Schaffer (Uppsala University)
Lab: OpenCL
- David Black-Schaffer (Uppsala University)
13:15 - 15:30
Room: Orange and Red
15:30 Break
Break
15:30 - 15:45
Room: E3

15:45 Open Lab: OpenCL
Open Lab: OpenCL
15:45 - 17:00
Room: Orange and Red
17:15 Project Work: Requirements and Expectations - Jesper Oppelstrup (KTH/CSC)
Project Work: Requirements and Expectations
- Jesper Oppelstrup (KTH/CSC)
17:15 - 17:45
Room: E3
17:45 Project Work: An example of a Summer School project - Marwa Abdul-Monem Al-Shandawely (KTH/CSC)
Project Work: An example of a Summer School project
- Marwa Abdul-Monem Al-Shandawely (KTH/CSC)
17:45 - 18:15
Room: E3 This is an example of a Summer School project from a previous year.
Saturday, 20 August 2011
Sunday, 21 August 2011