Sparse matrix

Results: 639



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12018 IEEE International Symposium on High Performance Computer Architecture OuterSPACE: An Outer Product based Sparse Matrix Multiplication Accelerator Subhankar Pal∗ Jonathan Beaumont∗ Dong-Hyeon Park∗ Aporva Ama

2018 IEEE International Symposium on High Performance Computer Architecture OuterSPACE: An Outer Product based Sparse Matrix Multiplication Accelerator Subhankar Pal∗ Jonathan Beaumont∗ Dong-Hyeon Park∗ Aporva Ama

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Source URL: blaauw.engin.umich.edu

Language: English - Date: 2018-04-06 13:27:35
    20 Autotuning Runtime Specialization for Sparse Matrix-Vector Multiplication BUSE YILMAZ, Ozyegin University BARIS ¸ AKTEMUR, Ozyegin University

    0 Autotuning Runtime Specialization for Sparse Matrix-Vector Multiplication BUSE YILMAZ, Ozyegin University BARIS ¸ AKTEMUR, Ozyegin University

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    Source URL: aktemur.github.io

    Language: English - Date: 2018-07-12 16:55:43
      3Recommended Reading Efficient Parallel Sparse Matrix–Vector Multiplication Using Graph and Hypergraph Partitioning U.V. C

      Recommended Reading Efficient Parallel Sparse Matrix–Vector Multiplication Using Graph and Hypergraph Partitioning U.V. C

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      Source URL: www.doc.ic.ac.uk

      Language: English - Date: 2015-02-25 09:48:50
        4EFFICIENT SPARSE MATRIX PROCESSING FOR NILM NILM Workshop 2014 Stephen Makonin, PhD Candidate, ISP, smIEEE! June 3,1 2014

        EFFICIENT SPARSE MATRIX PROCESSING FOR NILM NILM Workshop 2014 Stephen Makonin, PhD Candidate, ISP, smIEEE! June 3,1 2014

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        Source URL: makonin.com

        Language: English - Date: 2018-08-09 01:36:34
          5Published as a conference paper at ICLRUnderstanding Trainable Sparse Coding via matrix factorization arXiv:1609.00285v4 [stat.ML] 29 May 2017

          Published as a conference paper at ICLRUnderstanding Trainable Sparse Coding via matrix factorization arXiv:1609.00285v4 [stat.ML] 29 May 2017

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          Source URL: arxiv.org

          Language: English - Date: 2017-05-29 23:26:27
            6Technical Report BU-CE-1201 Hypergraph-Partitioning-Based Models and Methods for Exploiting Cache Locality in Sparse-Matrix Vector Multiplication Kadir Akbudak, Enver Kayaaslan and Cevdet Aykanat

            Technical Report BU-CE-1201 Hypergraph-Partitioning-Based Models and Methods for Exploiting Cache Locality in Sparse-Matrix Vector Multiplication Kadir Akbudak, Enver Kayaaslan and Cevdet Aykanat

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            Source URL: www.cs.bilkent.edu.tr

            Language: English - Date: 2012-11-26 09:52:29
              7Optimization by Runtime Specialization for Sparse Matrix-Vector Multiplication Sam Kamin† Mar´ıa Jes´us Garzar´an†

              Optimization by Runtime Specialization for Sparse Matrix-Vector Multiplication Sam Kamin† Mar´ıa Jes´us Garzar´an†

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              Source URL: aktemur.github.io

              Language: English - Date: 2018-07-12 16:55:43
                81 Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures Simon Garcia De Gonzalo, Simon D. Hammond, Christian R. Trott, and Wen-Mei Hwu

                1 Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures Simon Garcia De Gonzalo, Simon D. Hammond, Christian R. Trott, and Wen-Mei Hwu

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                Source URL: impact.crhc.illinois.edu

                - Date: 2017-12-15 20:53:35
                  9TRA Study of Sparse-Matrix Vector Multiplication (SpMV) on Different Architectures and Libraries Naveen Anand Subramaniam, Omkar Deshmukh,

                  TRA Study of Sparse-Matrix Vector Multiplication (SpMV) on Different Architectures and Libraries Naveen Anand Subramaniam, Omkar Deshmukh,

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                  Source URL: sbel.wisc.edu

                  - Date: 2015-07-06 22:16:26
                    10CGO: G: Decoupling Symbolic from Numeric in Sparse Matrix Computations Kazem Cheshmi PhD Student, Rutgers University

                    CGO: G: Decoupling Symbolic from Numeric in Sparse Matrix Computations Kazem Cheshmi PhD Student, Rutgers University

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                    Source URL: src.acm.org

                    - Date: 2017-05-25 14:09:20