Welcome to PC

ARMINIUS - Compute and Visualization Cluster

The Paderborn Center for Parallel Computing, PC, is an interdisciplinary institute of the University of Paderborn, Germany. We are specialized in distributed and parallel computing for research, development and practical applications. New emerging fields of applications are investigated together with our partners. Practical work is done in a number of different areas shown on our research and project web pages.

Our parallel computers are amongst the most powerful of their type. They enable us to study practical applications in a high-performance computing environment. Among our computing facilities are several large InfiniBand-clusters with up to 10.000 processor cores, and some smaller machines. These systems can be accessed conveniently by all users via the X-WIN network.

Within the supporting groups, theoretical work is done to develop methods and principles for the construction and efficient use of distributed and parallel computer systemsPC.de Shortcut.

 

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Latest System News

Posted on 22 March 2013 in System News:

New Cluster arrived: "OCuLUS"

Click here to learn more about OCuLUS.

Latest News

Posted on 25 November 2014 in Talks:

Softwareentwicklung fr Hochleistungs-IT-Systeme

Date: 12 December 2014 08:00 to 10:30 in O2

Hochleistungs-IT-Systeme rcken mit Verteilung und Nebenlufigkeit zwei Kernkonzepte in den Vordergrund der Konstruktion, die mit Hilfe bestehender Softwareparadigmen wie der Objekt-, Dienst-,...

Posted on 25 November 2014 in Talks:

Wissenschaftliches Hochleistungsrechnen und Steuerung verteilter Cyber-Physical Systems

Date: 11 December 2014 11:00 to 13:30 in O1.258

Fr viele Bereiche der modernen Produktion, Verfahrenstechnik und des Produktdesigns ist wissenschaftliches Hochleistungsrechnen essenziell. Whrend zunchst der Fokus auf der Simulation der...

Posted on 25 November 2014 in Talks:

Data Movement Options for Scalable Thread-Parallel Computing Sys-tems

Date: 08 December 2014 14:00 to 16:30 in O1.252

Concurrency is defining computing at all levels, leading to a vast amount of parallelism even for small computing systems. Technology constraints prohibit a reversal of this trend, and the still...