Name: Introduction to High-Performance Computing
Start: 2012-08-20T08:00:00+02:00
End: 2012-08-31T18:00:00+02:00
Location: KTH main campus

Introduction to High-Performance Computing

from Monday, 20 August 2012 (08:00) to Friday, 31 August 2012 (18:00)

Monday, 20 August 2012

08:30 Registration
Registration
08:30 - 09:15
Room: E3
09:15 Welcome to PDC and the Summer School - Erwin Laure (PDC) Michael Hanke (KTH)
Welcome to PDC and the Summer School
- Erwin Laure (PDC)
- Michael Hanke (KTH)
09:15 - 10:00
Room: E3
10:00 Coffee Break
Coffee Break
10:00 - 10:15
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 Individual Lunch
Individual Lunch
12:00 - 13:00
13:15 HPC Activities at Scania - Mattias Chevalier (Scania)
HPC Activities at Scania
- Mattias Chevalier (Scania)
13:15 - 14:00
Room: E3
14:00 Introduction to PDC's Environment - Ul Hassan Izhar
Introduction to PDC's Environment
- Ul Hassan Izhar
14:00 - 14:45
Room: E3
15:00 Coffee Break
Coffee Break
15:00 - 15:15
15:15 Lab: Introduction to PDC's Environment - Izhar Ul Hassan
Lab: Introduction to PDC's Environment
- Izhar Ul Hassan
15:15 - 16:45
Room: 4V2Röd, 4V3Ora
17:00 Picnic
Picnic
17:00 - 18:00
Tuesday, 21 August 2012
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 Coffee Break
Coffee Break
10:00 - 10:15
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 Individual Lunch
Individual Lunch
12:00 - 13:00
13:00 High-Performance Computer Architecture - Erik Hagersten (Uppsala University)
High-Performance Computer Architecture
- Erik Hagersten (Uppsala University)
13:00 - 15:00
Room: E3
15:00 Coffee Break
Coffee Break
15:00 - 15:15
15:15 Lab: Introduction to PDC's Environment - Izhar Ul Hassan
Lab: Introduction to PDC's Environment
- Izhar Ul Hassan
15:15 - 17:00
Room: 4V2Röd, 4V3Ora
PDC Machine Room Tour
PDC Machine Room Tour
15:15 - 17:00
Wednesday, 22 August 2012
09:15 Shared memory programming, OpenMP - Thomas Ericsson (Chalmers University)
Shared memory programming, OpenMP
- Thomas Ericsson (Chalmers University)
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 Coffee Break
Coffee Break
10:00 - 10:15
10:15 Shared memory programming, OpenMP - Thomas Ericsson (Chalmers University)
Shared memory programming, OpenMP
- Thomas Ericsson (Chalmers University)
10:15 - 12:00
Room: E3 See preceding description.
12:00 Individual Lunch
Individual Lunch
12:00 - 13:00
13:15 Shared memory programming, OpenMP - Thomas Ericsson (Chalmers University)
Shared memory programming, OpenMP
- Thomas Ericsson (Chalmers University)
13:15 - 14:00
Room: E3 See preceding description.
14:15 Lab: Programming Exercises on OpenMP - Niclas Jansson (CSC/NA)
Lab: Programming Exercises on OpenMP
- Niclas Jansson (CSC/NA)
14:15 - 15:00
Room: 4V2Röd, 4V3Ora
15:00 Coffee Break
Coffee Break
15:00 - 15:15
15:15 Lab: Programming Exercises on OpenMP - Niclas Jansson (KTH)
Lab: Programming Exercises on OpenMP
- Niclas Jansson (KTH)
15:15 - 17:00
Room: 4V2Röd, 4V3Ora
Thursday, 23 August 2012
09:15 Code optimization - Thomas Ericsson (Chalmers University)
Code optimization
- Thomas Ericsson (Chalmers University)
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 Coffee Break
Coffee Break
10:00 - 10:15
10:15 Code optimization - Thomas Ericsson (Chalmers University)
Code optimization
- Thomas Ericsson (Chalmers University)
10:15 - 12:00
Room: E3 See preceding description.
12:00 Individual Lunch
Individual Lunch
12:00 - 13:00
13:15 Lab: OpenMP Advanced Project - Niclas Jansson (CSC/NA)
Lab: OpenMP Advanced Project
- Niclas Jansson (CSC/NA)
13:15 - 15:00
Room: 4V2Röd, 4V3Ora
15:00 Coffee Break
Coffee Break
15:00 - 15:15
15:15 Lab: OpenMP Advanced Project - Niclas Jansson (CSC/NA)
Lab: OpenMP Advanced Project
- Niclas Jansson (CSC/NA)
15:15 - 17:00
Room: 4V2Röd, 4V3Ora
Friday, 24 August 2012
08:30 Wrap up: OpenMP Advanced Project - Niclas Jansson (CSC/NA)
Wrap up: OpenMP Advanced Project
- Niclas Jansson (CSC/NA)
08:30 - 09:00
Room: F3
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: F3 David Black-Schaffer (Uppsala University) 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 Coffee Break
Coffee Break
10:00 - 10:15
10:15 Introduction to OpenCL - David Black-Schaffer (Uppsala University)
Introduction to OpenCL
- David Black-Schaffer (Uppsala University)
10:15 - 12:00
Room: F3
12:00 Individual Lunch
Individual Lunch
12:00 - 13:00
13:15 Lab: OpenCL - David Black-Schaffer (Uppsala University)
Lab: OpenCL
- David Black-Schaffer (Uppsala University)
13:15 - 15:00
Room: 4V2Röd, 4V3Ora
15:00 Coffee Break
Coffee Break
15:00 - 15:15
15:15 Lab: OpenCL - David Black-Schaffer (Uppsala University)
Lab: OpenCL
- David Black-Schaffer (Uppsala University)
15:15 - 17:00
Room: 4V2Röd, 4V3Ora
Saturday, 25 August 2012
Sunday, 26 August 2012