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conference "Introduction to High-Performance Computing"
chaired by Michael Hanke (CSC - KTH School of Computer Science and Communication) , Erwin Laure (PDC - Center for High-Performance Computing) , Jesper Oppelstrup (CSC - KTH School of Computer Science and Communication)
  from Monday 15 August 2011 (08:00)
to Friday 26 August 2011 (18:00)
at KTH main campus ( E3 )
support: summer-info@pdc.kth.se
  Description:

Update: Registration starts on Monday August 15 at 08.15 in front of lecture room E3

All lectures are held at lecture room E3

PDC- Center for High-Performance Computing and the KTH School of Computer Science and Communication (CSC) are organizing an introductory course in high-performance computing. This is a course within the National Graduate School in Scientific Computing (NGSSC) and is endorsed by the KTH Computational Science and Engineering Centre (KCSE) Graduate School. Both NGSSC and KCSE help sponsor the Summer School. The course is open to KTH masters students as course number DN2258. Other students, both national and international, as well as academic and industrial, are also welcome to apply.

This course will give an introduction to the skills needed to utilize high performance computing resources, including an introduction to HPC programming languages, libraries and tools, modern computer architectures, parallel algorithms, and optimization of serial and parallel programs. Case studies in various scientific disciplines will help illustrate these topics. The course consists of both lectures and guided hands-on lab experience. It carries 7.5 ECTS (European Credit Transfer and Accumulation System), where 1.5 ECTS credits are equivalent to one week's workload of 40 hours. The student receives these credits on successful completion of the post-course project. The number of seats are limited.

The course is suitable for scientist and graduate students with interest in high-performance computing. It requires good experience in programming. The course language is English.

Course registration opens on March 15, and closes June 1, 2011.

The Summer School will be held at the KTH main campus, Stockholm.

Participants will become part of the long tradition of the Summer School. This will be the 16th year it has been given. The course pages for all the previous years are online and may help give you an idea of what the course has been like.

 

Monday 15 August 2011 toptop
08:15  Registration (45')

Registration starts on Monday August 15 at 08.15 in front of lecture room E3

09:15  Welcome to PDC and the Summer School (45') (files Slides pdf  ) Jesper Oppelstrup (KTH/CSC) , Erwin Laure (PDC-HPC) , Michael Hanke (KTH)
10:00 
Break
10:15  Concepts and Algorithms for Scientific Computing (1h45') (files Slides pdf  ) Bj√∂rn Engquist (KTH and the University of Austin)
12:00 
Lunch
13:15  Introduction to PDC's Environment (45') (files Slides pdf  ) Elisabet Molin (PDC)
14:15  High-Performance Computer Architecture (45') (files Slides pdf  ) Erik Hagersten (Uppsala University)
15:00 
Break
15:15  High-Performance Computer Architecture (1h45') (files Slides pdf  ) Erik Hagersten (Uppsala University)
17:30 
Get-together Picnic

Tuesday 16 August 2011 toptop
09:15  High-Performance Computer Architecture (45') (files Slides pdf  ) Erik Hagersten (Uppsala University)
10:00 
Break
10:15  High-Performance Computer Architecture (1h45') (files Slides pdf  ) Erik Hagersten (Uppsala University)
12:00 
Lunch
13:15  Current State of Computing (45') Sverker Holmgren (Uppsala University and SNIC)

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 (45') (files more information  ) (Location: Orange and Red ) Elisabet Molin (PDC)
14:15  Machine Room Tour (2h45') (Location: PDC Machine Room )
15:00 
Break
15:15  Lab: Introduction to PDC's Environment (1h45') (files more information  ) (Location: Orange and Red ) Elisabet Molin (PDC)

Wednesday 17 August 2011 toptop
09:15  Shared memory programming, OpenMP (45') (files Slides pdf  ) Thomas Ericsson (Chalmers)

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
10:15  Shared memory programming, OpenMP (1h45') Thomas Ericsson (Chalmers)

See preceding description.

12:00 
Lunch
13:15  Shared memory programming, OpenMP (45') Thomas Ericsson (Chalmers)

See preceding description.

14:15  Lab: Programming Exercises on OpenMP (45') (files more information  ) (Location: Orange and Red ) Niclas Jansson (KTH/CSC)
15:00 
Break
15:15  Lab: Programming Exercises on OpenMP (1h45') (files more information  ) (Location: Orange and Red ) Niclas Jansson (KTH/CSC)

Thursday 18 August 2011 toptop
09:15  Code optimization (45') (files Paper pdf;   files Slides pdf  ) Thomas Ericsson (Chalmers)

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
10:15  Code optimization (1h45') Thomas Ericsson (Chalmers)

See preceding description.

12:00 
Lunch
13:15  Lab: OpenMP Advanced Project (1h45') (files more information  ) (Location: Orange and Red ) Niclas Jansson (KTH/CSC)
15:00 
Break
15:15  Lab: OpenMP Advanced Project (1h45') (files more information  ) (Location: Orange and Red ) Niclas Jansson (KTH/CSC)

Friday 19 August 2011 toptop
08:30  Wrap up: OpenMP Advanced Project (30') Niclas Jansson (KTH/CSC)
09:15  GPU Architectures for Non-Graphics People (45') (files Slides pdf  ) 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 
Break
10:15  Introduction to OpenCL (1h45') (files Slides pdf  ) David Black-Schaffer (Uppsala University)
12:00 
Lunch
13:15  Lab: OpenCL (2h15') (Location: Orange and Red ) David Black-Schaffer (Uppsala University)
15:30 
Break
15:45  Open Lab: OpenCL (1h15') (Location: Orange and Red )
17:15  Project Work: Requirements and Expectations (30') (files Slides pdf  ) Jesper Oppelstrup (KTH/CSC)
17:45  Project Work: An example of a Summer School project (30') (files Slides pdf  ) Marwa Abdul-Monem Al-Shandawely (KTH/CSC)

This is an example of a Summer School project from a previous year.


Monday 22 August 2011 toptop
09:15  MPI Introduction (45') (files Slides pdf  ) Erwin Laure (PDC-HPC)
10:00 
Break
10:15  MPI Basic Concepts & Point-to-Point Communication (1h45') (files Slides  ) Erwin Laure (PDC-HPC)
12:00 
Lunch
13:15  Performance Engineering (45') (files Slides pdf  ) Dag Lindbo (KTH/CSC)
14:15  Lab: Performance Engineering (45') (files more information;   files Slides pdf  ) (Location: Orange and Red ) Dag Lindbo (KTH/CSC)
15:00 
Break
15:15  Lab: Performance Engineering (1h45') (files more information;   files Slides pdf  ) (Location: Orange and Red ) Dag Lindbo (KTH/CSC)

Tuesday 23 August 2011 toptop
08:30  Wrap up: Performance Engineering (30') Dag Lindbo (KTH/CSC)
09:15  MPI - Collective Communication (45') (files Slides pdf  ) Erwin Laure (PDC-HPC)
10:00 
Break
10:15  MPI - Intermediate MPI (45') (files Slides pdf  ) Erwin Laure (PDC-HPC)
11:15  Parallel Performance Tools (45') (files Slides pdf  ) (Location: E2 ) Elisabet Molin (PDC)
12:00 
Lunch
13:15  Lab: MPI Part 1 (1h45') (files General Instructions;   files Specific Lab Instructions  ) (Location: Orange and Red ) Jonathan Vincent (PDC)
15:00 
Break
15:15  Lab: MPI Part 1 (1h45') (Location: Orange and Red ) Jonathan Vincent (PDC)
15:15  Project Work (1h45') (Location: Orange and Red ) Jesper Oppelstrup (KTH/CSC)

Discuss your project ideas with other students, the course examiner, and tutors.


Wednesday 24 August 2011 toptop
09:15  Interconnection Networks (45') (files Slides pdf  ) (Location: E2 ) Michael Schliephake (PDC)
10:00 
Break
10:15  Interconnection Networks (45') (Location: E2 ) Michael Schliephake (PDC)
11:15  Case Study: Green Computing (45') (files Paper;   files Slides pdf  ) Lennart Johnsson (PDC and University of Houston)
12:00 
Lunch
13:15  Lab: Parallel Performance Tools (45') (files more information  ) (Location: Orange and Red ) Elisabet Molin (PDC)
14:15  Lab: MPI Part 2 (45') (files General Instructions;   files Specific Lab Instructions  ) (Location: Orange and Red ) Jonathan Vincent (PDC)
15:00 
Break
15:15  Lab: MPI Part 2 (1h45') (Location: Orange and Red ) Jonathan Vincent (PDC)

Thursday 25 August 2011 toptop
09:15  MPI: Advanced Concepts (45') (files Hybrid MPI+OpenMP Tutorials;   files Hybrid MPI+OpenMP Tutorials;   files Slides pdf  ) (Location: E2 ) Erwin Laure (PDC-HPC)
10:00 
Break
10:15  MPI: Advanced Concepts (45') (Location: E2 ) Erwin Laure (PDC-HPC)
11:15  Case Study: Very large-scale brain simulations using supercomputers (45') (files Slides pdf  ) Anders Lansner (KTH/CSC)

Brain science is a rapidly growing application area for supercomputers with a main focus on data analysis of large volumes of data generated from measurements on the brain and on simulations of brain dynamics. The talk will mostly dwell on the latter aspect, first describing briefly some structural and functional aspects of the brain and standard methodology used in computational neuroscience to simulate activity of neurons and networks. Then follows some examples from our own investigations of perceptual and memory functions of the brain using simulation models with varying degrees of biophysical detail. Finally, our experience from performing very large-scale simulations and scaling of models to actual brain size on the Blue Gene architecture will be described.

12:00 
Lunch
13:15  Lab: MPI Part 3 (1h45') (files General Instructions;   files Specific Lab Instructions  ) (Location: Orange and Red ) Jonathan Vincent (PDC)
15:00 
Break
15:15  Lab: MPI Part 3 (1h45') (Location: Orange and Red ) Jonathan Vincent (PDC)
15:15  Project Work (1h45') (Location: Orange and Red ) Jesper Oppelstrup (KTH/CSC)

Discuss your project ideas with other students, the course examiner, and tutors.

18:00 
Summing up Dinner

Friday 26 August 2011 toptop
09:15  New Parallel Programming Languages (45') (files Slides  ) Iris Christadler (LRZ - Leibniz-Rechenzentrum)

A programming language that is able to abstract the peculiarities of parallel programming on a higher level and deliver good performance and scalability will be a key to harness the vast amount of parallelism available in current and future high-end systems. This lecture gives an overview of the different ways parallelism is expressed in languages designed for -or used in- High Performance Computing. The aim of the lecture is to give students an understanding of the technical possibilities and limitations of those languages. We will have a look at the way parallelism is abstracted and briefly discuss how difficult it is to produce efficient code by the compiler.

10:00 
Break
10:15  New Parallel Programming Languages (45') (files Slides  ) Iris Christadler (LRZ - Leibniz-Rechenzentrum)
11:15  Case Study: Beyond IT: the Telecom Cloud (45') (files Slides pdf  ) Andras Vajda (Ericsson)

Cloud computing is one of the key business and technology trends impacting every aspect of the ICT industry. While the IT industry was succesful in pushing down the cost of computation and storage, signifcant challenges remain in the areas of networking, SLA enforcement and security, traditionally areas of strength for telecom companies. In this talk we analyze the impact and opportunities of the cloud computing paradigm for the telecommunication companies, both as users as well as provider of cloud-based solutions. Based on the identified opportunities, we describe the key technological and operational innovations that can help streamline operations of telecommunication companies and, at the same time, generate new revenue streams through differentiating solutions.

12:00 
Lunch
13:15  Open Lab (1h45') (Location: Orange and Red )
15:00 
Break
15:15  Open Lab (1h45') (Location: Orange and Red )

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