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X
Knüpfer, Andreas
104  Ergebnisse:
Personensuche X
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1

A Halo abstraction for distributed n-dimensional structured..:

Hünich, Denis ; Knüpfer, Andreas
PeerJ Computer Science.  9 (2023)  - p. e1203 , 2023
Link: https://doi.org/10.7717/..
 
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2

Automatic Detection of HPC Job Inefficiencies at TU Dresden..:

, In: Lecture Notes in Computer Science; High Performance Computing,
Winkler, Frank ; Knüpfer, Andreas - p. 295-306 , 2023
Link: https://doi.org/10.1007/..
 
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3

Further enhancing the in situ visualization of performance ..:

Alves, Rigel F. C. ; Knüpfer, Andreas
PeerJ Computer Science.  7 (2021)  - p. e753 , 2021
Link: https://doi.org/10.7717/..
 
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4

DASH: Distributed Data Structures and Parallel Algorithms i..:

, In: Software for Exascale Computing - SPPEXA 2016-2019; Lecture Notes in Computational Science and Engineering,
Fürlinger, Karl ; Gracia, José ; Knüpfer, Andreas... - p. 103-142 , 2020
Link: https://doi.org/10.1007/..
 
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5

From stirring to mixing: artificial intelligence in the pro..:

, In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),
Khaydarov, Valentin ; Heinze, Sebastian ; Graube, Markus... - p. 967-974 , 2020
Link: https://doi.org/10.1109/..
 
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6

In Situ Visualization of Performance-Related Data in Parall..:

, In: Euro-Par 2019: Parallel Processing Workshops; Lecture Notes in Computer Science,
Alves, Rigel F. C. ; Knüpfer, Andreas - p. 400-412 , 2020
Link: https://doi.org/10.1007/..
 
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7

PIKA: Center-Wide and Job-Aware Cluster Monitoring:

, In: 2020 IEEE International Conference on Cluster Computing (CLUSTER),
Dietrich, Robert ; Winkler, Frank ; Knupfer, Andreas. - p. 424-432 , 2020
Link: https://doi.org/10.1109/..
 
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8

Introduction to HIPS Workshop:

, In: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Wu, Bo ; Knupfer, Andreas - p. 753-754 , 2017
Link: https://doi.org/10.1109/..
 
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9

Design Evaluation of a Performance Analysis Trace Repositor:

Grunzke, Richard ; Neumann, Maximilian ; Ilsche, Thomas...
Procedia Computer Science.  108 (2017)  - p. 2190-2199 , 2017
Link: https://doi.org/10.1016/..
 
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10

Automatic Adaption of the Sampling Frequency for Detailed P..:

, In: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing,
Wagner, Michael ; Knüpfer, Andreas - p. 973-981 , 2017
Link: https://dl.acm.org/doi/1..
 
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11

Providing Parallel Debugging for DASH Distributed Data Stru..:

Hünich, Denis ; Knüpfer, Andreas ; Gracia, José
Procedia Computer Science.  51 (2015)  - p. 1383-1392 , 2015
Link: https://doi.org/10.1016/..
 
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12

MPI-focused Tracing with OTFX : An MPI-aware In-memory E..:

, In: Proceedings of the 22nd European MPI Users' Group Meeting,
Wagner, Michael ; Doleschal, Jens ; Knüpfer, Andreas - p. 1-8 , 2015
Link: https://dl.acm.org/doi/1..
 
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13

Visualization of performance data for MPI applications usin..:

, In: Proceedings of the First Workshop on Visual Performance Analysis,
Schmitt, Felix ; Dietrich, Robert ; Kuß, René.. - p. 1-8 , 2014
Link: https://dl.acm.org/doi/1..
 
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14

Runtime message uniquification for accurate communication a..:

, In: Proceedings of the 20th European MPI Users' Group Meeting,
Wagner, Michael ; Doleschal, Jens ; Nagel, Wolfgang E.. - p. 123-128 , 2013
Link: https://dl.acm.org/doi/1..
 
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15

Optimizing I/O forwarding techniques for extreme-scale even..:

Ilsche, Thomas ; Schuchart, Joseph ; Cope, Jason...
Cluster Computing.  17 (2013)  1 - p. 1-18 , 2013
Link: https://doi.org/10.1007/..
 
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