10 Matrixvector PPTs View free & download

MatrixVector Computation PowerPoint PPT Presentation

MatrixVector Computation - V - U = v2 - u2. vn - un. V = (v1, v2, ... V = (v1, v2, ..., vn) U = (u1, u2, ..., un) ... uTv = u1 v1 u2 v2 ... un vn. Inner-Product: u v = uT v ...

V - U = v2 - u2. vn - un. V = (v1, v2, ... V = (v1, v2, ..., vn) U = (u1, u2, ..., un) ... uTv = u1 v1 u2 v2 ... un vn. Inner-Product: u v = uT v ...

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A benchmark for sparse matrixvector multiplication PowerPoint PPT Presentation

A benchmark for sparse matrixvector multiplication - ... NSF, Argonne National Lab, a gift from Intel, National Energy Research ... Idea: Replace Sparsity's explicit (BLAS-1-like) register block multiplication...

... NSF, Argonne National Lab, a gift from Intel, National Energy Research ... Idea: Replace Sparsity's explicit (BLAS-1-like) register block multiplication...

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Optimizing the Performance of Sparse MatrixVector Multiplication PowerPoint PPT Presentation

Optimizing the Performance of Sparse MatrixVector Multiplication - Vendor optimized matrix-vector multiplication: 57Mflops ... Reorganizing the matrix (yellow bars) ... Document retrieval matrix : 10K x 256K, 37M nonzeros, SVD ...

Vendor optimized matrix-vector multiplication: 57Mflops ... Reorganizing the matrix (yellow bars) ... Document retrieval matrix : 10K x 256K, 37M nonzeros, SVD ...

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Sparse MatrixVector Multiplication PowerPoint PPT Presentation

Sparse MatrixVector Multiplication - RMAT Approximate Power-Law Graph. 8. Strongly Connected Components. 9 ... Breadth-First Search: Sparse mat * vec. x. ATx. 1. 2. 3. 4. 7. 6. 5. AT ...

RMAT Approximate Power-Law Graph. 8. Strongly Connected Components. 9 ... Breadth-First Search: Sparse mat * vec. x. ATx. 1. 2. 3. 4. 7. 6. 5. AT ...

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CS 267: Applications of Parallel Computers Lecture 17: Parallel Sparse MatrixVector Multiplication PowerPoint PPT Presentation

CS 267: Applications of Parallel Computers Lecture 17: Parallel Sparse MatrixVector Multiplication - Reason: Low Flop to memory ratio: 2. Sparse matrix operation ... Makes sense when X does not fit in cache. Rectangular matrices, in particular. Source vector x ...

Reason: Low Flop to memory ratio: 2. Sparse matrix operation ... Makes sense when X does not fit in cache. Rectangular matrices, in particular. Source vector x ...

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Optimization of Sparse MatrixVector Multiplication PowerPoint PPT Presentation

Optimization of Sparse MatrixVector Multiplication - Dense matrix kernels similar Sparse kernels ... major disadvantage to the dense kernels ... Dense case supports arbitrary register blocks (no added zeros) ...

Dense matrix kernels similar Sparse kernels ... major disadvantage to the dense kernels ... Dense case supports arbitrary register blocks (no added zeros) ...

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CS 267: Applications of Parallel Computers Lecture 15: Parallel Sparse MatrixVector Multiplication PowerPoint PPT Presentation

CS 267: Applications of Parallel Computers Lecture 15: Parallel Sparse MatrixVector Multiplication - Po. P1. P2. P3. Po P1 P2 P3. 9/30/09. CS267, Yelick. 4 ... Po P1 P2 P3. 9/30/09. CS267, Yelick. 46. Optimization Opportunities. Send only necessary parts of x ...

Po. P1. P2. P3. Po P1 P2 P3. 9/30/09. CS267, Yelick. 4 ... Po P1 P2 P3. 9/30/09. CS267, Yelick. 46. Optimization Opportunities. Send only necessary parts of x ...

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CS2203 OBJECT ORIENTED PROGRAMMING 3 0 0 3 PowerPoint PPT Presentation

CS2203 OBJECT ORIENTED PROGRAMMING 3 0 0 3 - CS2203 OBJECT ORIENTED PROGRAMMING 3 0 0 3 (Common to CSE & IT) Aim: To understand the concepts of object-oriented programming and ...

CS2203 OBJECT ORIENTED PROGRAMMING 3 0 0 3 (Common to CSE & IT) Aim: To understand the concepts of object-oriented programming and ...

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Fortran - dominant programming language used in engineering applications ... To overrule. IMPLICIT NONE. To add additional implicit variable type. IMPLICIT COMPLEX C,X ...

dominant programming language used in engineering applications ... To overrule. IMPLICIT NONE. To add additional implicit variable type. IMPLICIT COMPLEX C,X ...

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Benchmarking Sparse MatrixVector Multiply In 5 Minutes PowerPoint PPT Presentation

Benchmarking Sparse MatrixVector Multiply In 5 Minutes - Dimension ranges from a few hundred to over a million. NNZ/row ranges from 1 to a few hundred ... Look over only a certain range of problem dimensions and NNZ/row ...

Dimension ranges from a few hundred to over a million. NNZ/row ranges from 1 to a few hundred ... Look over only a certain range of problem dimensions and NNZ/row ...

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Matrixvector PowerPoint PPT Presentations