Matrix multiplication

Results: 340



#Item
11Optimization 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
    12Compressed Modular Matrix Multiplication Jean-Guillaume Dumas∗ Laurent Fousse∗  Bruno Salvy†

    Compressed Modular Matrix Multiplication Jean-Guillaume Dumas∗ Laurent Fousse∗ Bruno Salvy†

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    Source URL: log.lateralis.org

    Language: English - Date: 2017-10-30 10:33:48
      131  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
        14MATRICES: MATRIX MULTIPLICATION  5 minute review. Remind students how to multiply matrices (including that in AB, A must be m × n, B must be n × p, and the result is m × p). Class warm-up. Explain how a 2 × 2 matrix

        MATRICES: MATRIX MULTIPLICATION 5 minute review. Remind students how to multiply matrices (including that in AB, A must be m × n, B must be n × p, and the result is m × p). Class warm-up. Explain how a 2 × 2 matrix

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        Source URL: engmaths.group.shef.ac.uk

        - Date: 2017-08-24 06:17:44
          15TRA 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
            16MATRICES: BASIC OPERATIONS  5 minute review. Cover the basics of matrices (size, row, columns, (i, j) entry is row i, column j), matrix addition, scalar multiplication, and transposes. Class warm-up. Let A, B be the 2 ×

            MATRICES: BASIC OPERATIONS 5 minute review. Cover the basics of matrices (size, row, columns, (i, j) entry is row i, column j), matrix addition, scalar multiplication, and transposes. Class warm-up. Let A, B be the 2 ×

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            Source URL: engmaths.group.shef.ac.uk

            - Date: 2017-08-24 06:17:44
              17The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication Dirk Van Gucht1 Ryan Williams2 1

              The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication Dirk Van Gucht1 Ryan Williams2 1

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              Source URL: homes.soic.indiana.edu

              - Date: 2015-03-10 22:15:09
                18Faster and More Scalable Sparse Matrix-Matrix Multiplication Aydın Buluç Lawrence Berkeley National Laboratory In	
  collabora5on	
  with	
   Grey	
  Ballard	
  (Sandia),	
  Ariful	
  Azad	
  (LBNL),	
  James

                Faster and More Scalable Sparse Matrix-Matrix Multiplication Aydın Buluç Lawrence Berkeley National Laboratory In  collabora5on  with   Grey  Ballard  (Sandia),  Ariful  Azad  (LBNL),  James

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                Source URL: cscresearchblog.files.wordpress.com

                - Date: 2016-05-11 16:11:27
                  19ON THE GEOMETRY OF BORDER RANK ALGORITHMS FOR n × 2 BY 2 × 2 MATRIX MULTIPLICATION arXiv:1509.08323v1 [cs.NA] 28 SepJ.M. LANDSBERG AND NICHOLAS RYDER

                  ON THE GEOMETRY OF BORDER RANK ALGORITHMS FOR n × 2 BY 2 × 2 MATRIX MULTIPLICATION arXiv:1509.08323v1 [cs.NA] 28 SepJ.M. LANDSBERG AND NICHOLAS RYDER

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                  Source URL: arxiv.org

                  - Date: 2015-09-28 20:46:37
                    20Memory Efficient Scheduling for Fast Matrix Multiplication

                    Memory Efficient Scheduling for Fast Matrix Multiplication

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                    Source URL: issac2009.kias.re.kr

                    - Date: 2009-07-31 09:26:59