Edgar Solomonik

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Raghavendra Kanakagiri

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Publications

2024
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Raghavendra Kanakagiri, Edgar Solomonik:
Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network. SPAA 2024: 169-181
2023
[c33]
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  - conf/europar/IrmlerKOSG23
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Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis:
Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids. Euro-Par 2023: 710-724
[i33]
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  - journals/corr/abs-2307-05740
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Raghavendra Kanakagiri, Edgar Solomonik:
Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network. CoRR abs/2307.05740 (2023)
[i32]
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  - journals/corr/abs-2307-08829
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Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis:
Optimizing Distributed Tensor Contractions using Node-Aware Processor Grids. CoRR abs/2307.08829 (2023)
2022
[c27]
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  - conf/ppsc/BaerKS22
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Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik:
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels. PP 2022: 72-83
2021
[i20]
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  - journals/corr/abs-2110-04865
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Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik:
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels. CoRR abs/2110.04865 (2021)
2020
[c21]
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  - conf/ipps/BestaKMKRHS20
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Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. IPDPS 2020: 1122-1132
2019
[i9]
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  - journals/corr/abs-1911-04200
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Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons. CoRR abs/1911.04200 (2019)

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