Wolfgang Frings

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New algorithms for correlation analysis are presented that allow the mapping of brain activity from functional MRI (fMRI) data in real time during the ongoing scan. They combine the computation of the correlation coefficients between measured fMRI time-series data and a reference vector with "detrending", a technique for the suppression of(More)
1 Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany {f.wolf, e.abraham, d.becker, w.frings, m.geimer, m.a.hermanns, b.mohr, m.pfeifer, z.szebenyi, b.wylie}@fz-juelich.de 2 Department of Computer Science and Aachen Institute for Advanced Study in Computational Engineering Science, RWTH Aachen University, Germany 3 Innovative Computing(More)
Real-time fMRI is a rapidly emerging methodology that enables monitoring changes in brain activity during an ongoing experiment. In this article we demonstrate the feasibility of performing single-event sensory, motor, and higher cognitive tasks in real-time on a clinical whole-body scanner. This approach requires sensitivity optimized fMRI methods: Using(More)
Parallel applications often store data in multiple task-local files, for example, to remember checkpoints, to circumvent memory limitations, or to record performance data. When operating at very large processor configurations, such applications often experience scalability limitations when the simultaneous creation of thousands of files causes(More)
c © 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior(More)
A cytopathogenic variant of hepatitis A virus (HAV(cyt/HB1.1)) was isolated from persistently infected BS-C-1 cells by serial passages in FRhK-4 cells. This virus shows a rapid replication pattern and high final titers are obtained, which are main characteristics of cytopathogenic HAVs. Sequencing of the nontranslated regions and the coding regions for 2ABC(More)
The processing power and memory capacity of independent and heterogeneous parallel machines can be combined to form a single parallel system that is more powerful than any of its constituents. However, achieving satisfactory application performance on such a metacomputer is hard because the high latency of inter-machine communication as well as differences(More)
Energy efficiency is a key design principle of the IBM Blue Gene series of supercomputers, and Blue Gene systems have consistently gained top GFlops/Watt rankings on the Green500 list. The Blue Gene hardware and management software provide built-in features to monitor power consumption at all levels of the machine’s power distribution network. This paper(More)
A system for the distributed, collaborative online visualisation in heterogeneous visualisation environments was developed and tested in the application project KoDaVis, which is part of the german optical network testbed VIOLA. The aim of KoDaVis is the visualisation of huge data sets from atmosphere research. The core of the presented distributed computer(More)