Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Bisseling, R.H."'
Publikováno v:
In Parallel Computing January 2019 81:104-121
Publikováno v:
In Parallel Computing August 2013 39(8):319-335
Autor:
Pawłowski, Filip, Bisseling, R.H., Uçar, Bora, Yzelman, Albert-Jan N., Sub Mathematical Modeling, Mathematical Modeling
Publikováno v:
HPEC
Proceedings 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1. IEEE Computer Society Publications
STARTPAGE=1;TITLE=Proceedings 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Proceedings 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1. IEEE Computer Society Publications
STARTPAGE=1;TITLE=Proceedings 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Sparse deep neural networks (DNNs) emerged as the result of search for networks with less storage and lower computational complexity. The sparse DNN inference is the task of using such trained DNN networks to classify a batch of input data. We propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9a5986a493c4ade1c399ffcdff5062
https://hdl.handle.net/1874/417157
https://hdl.handle.net/1874/417157
Tomography is a non-destructive technique for imaging the interior of a 3D object. We present an efficient data partitioning strategy for distributed tomographic reconstruction algorithms. Our novel partitioning method is a refinement of the previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::f344cfea6295b26bf5d75e58542856aa
https://dspace.library.uu.nl/handle/1874/414792
https://dspace.library.uu.nl/handle/1874/414792
Akademický článek
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Publikováno v:
In Computer Physics Communications 2003 149(3):121-134
Publikováno v:
In Journal of Computational Physics 20 July 2002 180(1):313-326
Autor:
Fagginger Auer, B.O., Bisseling, R.H., Bader, David A., Meyerhenke, Henning, Sanders, Peter, Wagner, Dorothea, Analysis, Sub Analysis begr. 01-01-2014
Publikováno v:
Graph Partitioning and Graph Clustering
Graph Partitioning and Graph Clustering, 588, 223. American Mathematical Society
Graph Partitioning and Graph Clustering, 588, 223. American Mathematical Society
Agglomerative clustering is an effective greedy way to quickly generate graph clusterings of high modularity in a small amount of time. In an effort to use the power offered by multi-core CPU and GPU hardware to solve the clustering problem, we intro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::069220075570eca241cff10ab109c4ac
https://doi.org/10.1090/conm/588/11706
https://doi.org/10.1090/conm/588/11706
Autor:
Bisseling, R.H., Frank, J.E., Gavranovic, Haris, van Heugten, Jasper, Kruseman, A.M.S., van Leeuwen, Daphne, Reinhardt, Christian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::ffa964db0cc7a9bb32f9128a9d1ec461
https://dspace.library.uu.nl/handle/1874/346282
https://dspace.library.uu.nl/handle/1874/346282
Autor:
Bisseling, R.H., Flesch, I.
Publikováno v:
Journal of Parallel Computing, 32, 551-567
Journal of Parallel Computing, 32, = 7, pp. 551-567
Journal of Parallel Computing, 32, = 7, pp. 551-567
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8101dd474c8ca7f473028ef719db7067
https://hdl.handle.net/2066/35612
https://hdl.handle.net/2066/35612