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

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Key Facts

Grant Number:
01|H11004A
Art des Projektes:
Sonstiger Zweck
Laufzeit:
04/2011 - 12/2013
Gefördert durch:
Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Websites:
Completed research projects of the High-Performance IT Systems group
Projektbeschreibung bei ZIB
ORCID
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Förderkatalog des Bundes

Detailinformationen

Projektleitung

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Prof. Dr. Christian Plessl

Hochleistungsrechnen

Zur Person

Kooperationspartner

Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI

Kooperationspartner

GETLIG & TAR

Kooperationspartner

TWT Gmbh Science & Innovation

Kooperationspartner

Universität Bielefeld

Kooperationspartner

Universität Mainz

Kooperationspartner

tms – technisch mathematische studiengesellschaft mbh

Kooperationspartner

Publikationen

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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Gefördert durch:

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