'Matrix matrix multiply' presentation slideshows

Parallel & Cluster Computing 2005 Scientific Libraries

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CS 267 Applications of Parallel Processors Lecture 13: Parallel Matrix Multiply

CS 267 Applications of Parallel Processors Lecture 13: Parallel Matrix Multiply. Kathy Yelick http://www.cs.berkeley.edu/~dmartin/cs267. Outline. - Recap - Sources of large dense linear systems - BLAS for linear algebra - Parallel Matrix multiply. Model overview. Work-depth PRAM

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CS 267 Applications of Parallel Processors Lecture 13: Parallel Matrix Multiply

CS 267 Applications of Parallel Processors Lecture 13: Parallel Matrix Multiply. Kathy Yelick http://www.cs.berkeley.edu/~dmartin/cs267. Outline. - Recap - Sources of large dense linear systems - BLAS for linear algebra - Parallel Matrix multiply. Model overview. Work-depth PRAM

332 views • 33 slides

High-Performance Grid Computing and Research Networking

High-Performance Grid Computing and Research Networking. Algorithms on a Grid of Processors. Presented by Xing Hang Instructor: S. Masoud Sadjadi http://www.cs.fiu.edu/~sadjadi/Teaching/ sadjadi At cs Dot fiu Dot edu. Acknowledgements.

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High-Performance Grid Computing and Research Networking

High-Performance Grid Computing and Research Networking. Algorithms on a Grid of Processors. Presented by Xing Hang Instructor: S. Masoud Sadjadi http://www.cs.fiu.edu/~sadjadi/Teaching/ sadjadi At cs Dot fiu Dot edu. Acknowledgements.

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Numerical Linear Algebra An Introduction

Numerical Linear Algebra An Introduction. Levels of multiplication . vector-vector a[i]*b[i] matrix-vector A[i,j]*b[j] matrix-matrix A[I,k]*B[k,j]. Matrix-Matrix. for (i=0; i<n; i++) for (j=0; j<n; j++) { C[i,j]=0.0; for (k=0; k<n; k++)

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CSE 160 - Lecture 11

CSE 160 - Lecture 11. Computation/Communication Analysis - Matrix Multiply. Granularity. Machine granularity has been defined as MFLOPS/MB/sec = FLOP/Byte This tries to indicate the balance between computation and communication.

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CSE 160 - Lecture 11

CSE 160 - Lecture 11. Computation/Communication Analysis - Matrix Multiply. Granularity. Machine granularity has been defined as MFLOPS/MB/sec = FLOP/Byte This tries to indicate the balance between computation and communication.

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Parallel Programming & Cluster Computing Linear Algebra

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