Institute of Computer Languages
Compilers and Languages Group

Talks 2005 - Sergei Gorlatch

The Compilers and Languages Group invites you to a talk given by

Prof. Dr. Sergei Gorlatch

(Universität Münster, Deutschland) on

Send-Receive Considered Harmful: Mythen und Fakten moderner Parallelprogrammierung

Date:	Monday, June 6th, 2005
Time:	17:00 (c.t.)
Location:	TU Wien, Elektrotechnik, Reithofer Hörsaal, Gusshausstrasse 25-29 (Altbau), 2. Stock

Abstract:

Moderne Computer sind parallele Systeme. Sie bestehen zunehmend aus mehreren Einheiten, die gleichzeitig (parallel) aktiv sind und miteinander kommunizieren: von kleinsten Funktionseinheiten eines Prozessors auf einzelnem Chip, bis hin zu geographisch weit entfernten Hochleistungsrechnern, die über das Internet zu sog. Computational Grids verbunden werden. Der Vortrag zeigt auf, dass die traditionellen Kommunikations-Primitiven der Parallelprogrammierung, Send und Receive, viele Probleme in der Softwareentwicklung für derartige Systeme verursachen. Es wird ein alternativer, mathematisch fundierter Ansatz zum Entwurf paralleler Algorithmen und Programme präsentiert.

About Prof. Dr. Sergei Gorlatch:

Sergei Gorlatch received his Master's degree with honours in Computer Science from Kiev State University in 1979, and his PhD degree from Glushkov Institute of Cybernetics, Kiev, Ukraine in 1984. From 1991 to 1992, he was a Humboldt Research Fellow at the Technical University of Munich. From 1992 to 1999, Dr. Gorlatch worked as Assistant Professor at the University of Passau, Germany, where he obtained his habilitation in 1998. From 2000 to 2003, he was Associate Professor at the Technical University of Berlin. Since October 2003, Sergei Gorlatch holds the Chair of Parallel and Distributed Systems at the University of Mthe International Workshop CMPP (Constructive Methods for Parallel Programming) and was member of programme committee at several international conferences. His current research interests include parallel algorithms, programming methodology and formal methods for parallel and distributed systems, and performance evaluation.