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Parallel Computing

Overview

Achievement: SWS : 2, Credits 4

Course type : Seminar

Language: English

Overview

In this seminar we want to explore the wide field of parallel computing, ranging from parallel algorithms, high-level programming languages that support parallelism, parallelization frameworks, and hardware issues.

Topics

This is a list of possible topics. If you have suggestions of your own, which fit into the seminar, you are welcome to present them.

  • Concurrency and/or parallelization support in programming languages (e.g. Scala, Clojure, ...)
  • Parallelization models (e.g. map-reduce, worker-producer, ...)
  • Parallel programming systems/frameworks (e.g. MPI, PVM, Threads, ...)
  • Parallel hardware (e.g. GPUs, clusters, grids, fast networks, ...)
  • Parallel algorithms (e.g. sorting, graph algorithms, data mining, ...)

 

Presentations

Thorsten Meinl Introduction
Philipp Ziemer Parallel sorting algorithms
Josua Krause Concurrency support in Java 7
Stephanie Marx GP-GPU computing
Manuel Knitza HPC-Clusters and their interconnects
Dominik Abend Consistency models and Big Tables
Andreas Burger Scala
Mirko Dulfer MPI, PVM, and threads
Sabbir Ahmmed Grids and their frameworks
Leonard Wörteler Nested Data Parallelism in Haskell
Sebastian Fichtner Parallel Graph Algorithms

 

Literature

Individually for each topic

Course criteria

Talk of about 30 minutes and written summary of about 6 pages (using this template).

Prerequisites

Basic knowledge in Parallel Programming