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 16 September 2015 in System News:

Status of all Systems

look here: https://wikis.uni-paderborn.de/pc2doc/index.php/Hauptseite

Latest News

Posted on 07 July 2016 in Talks:

Sprint Diagnostic with RTK-GPS & IMU Sensor Fusion

Date: 20 July 2016 14:00 to 15:00 in O2.267

The number of GPS based sports trackers available on the market right now used for determining the velocity of a running athlete is growing but due to limitations of normal GPS their accuracy does...

Posted on 03 May 2016 in Talks:

Accelerated Computing with OpenPOWER

Date: 04 May 2016 10:00 to 11:00 in O2.267

We would like to invite you to the following talk: Dr. Heiner GiefersIBM Zurich Research LabAccelerated Computing with OpenPOWER Abstract:Heterogeneous computing is considered among the most...

Posted on 02 May 2016 in Talks:

Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment

Date: 10 May 2016 10:00 to 11:00 in O2.267

OpenCL enables different devices to execute the same code without any adaptations. Most prominently, GPUs are often leveraged to accelerate calculations. In environments with multiple enqueued...