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ENHANCE: Enabling Heterogeneous Hardware Acceleration using Novel Programming and Scheduling Models

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Principal Investigators

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Prof. Dr. Christian Plessl

High-Performance Computing

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Cooperating Institutions

Universität Bielefeld

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Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI

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tms – technisch mathematische studiengesellschaft mbh

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TWT Gmbh Science & Innovation

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GETLIG & TAR

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Zentrum für Datenverarbeitung - ZDV Universität Mainz

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Publications

Performance-centric scheduling with task migration for a heterogeneous compute node in the data center
A. Lösch, T. Beisel, T. Kenter, C. Plessl, M. Platzner, in: Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), EDA Consortium / IEEE, 2016, pp. 912–917.
Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing
T. Beisel, Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing, Logos Verlag Berlin GmbH, Berlin, 2015.
Parallel Macro Pipelining on the Intel SCC Many-Core Computer
T. Suess, A. Schoenrock, S. Meisner, C. Plessl, in: Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), IEEE Computer Society, Washington, DC, USA, 2013, pp. 64–73.
Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux
T. Beisel, T. Wiersema, C. Plessl, A. Brinkmann, in: Proc. Workshop on Computer Architecture and Operating System Co-Design (CAOS), 2012.
Transformation of scientific algorithms to parallel computing code: subdomain support in a MPI-multi-GPU backend
B. Meyer, C. Plessl, J. Förstner, in: Symp. on Application Accelerators in High Performance Computing (SAAHPC), IEEE Computer Society, 2011, pp. 60–63.
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