A fast way for matrix multiplication
The importance of matrix multiplication is immense. Considerable amount of applications in computer science requires matrix multiplication. The Strassen’s algorithm for multiplying 2 × 2 matrices requires seven multiplications and eighteen additions. Winograd showed that seven multiplications are th...
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sg-ntu-dr.10356-755402023-03-04T18:22:16Z A fast way for matrix multiplication Oh, Yi Hong Shu Jian Jun School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering The importance of matrix multiplication is immense. Considerable amount of applications in computer science requires matrix multiplication. The Strassen’s algorithm for multiplying 2 × 2 matrices requires seven multiplications and eighteen additions. Winograd showed that seven multiplications are the minimal amount multiplying 2 × 2 matrices. Winograd also discovered a Strassen-like algorithm with fifteen additions together with Coppersmith. Research carried out in this field are generally done through mathematical theorems. The paper attempts to find a better Strassen-like algorithm through an exhaustive method. Bachelor of Engineering (Mechanical Engineering) 2018-06-01T06:37:20Z 2018-06-01T06:37:20Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75540 en Nanyang Technological University 56 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering Oh, Yi Hong A fast way for matrix multiplication |
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The importance of matrix multiplication is immense. Considerable amount of applications in computer science requires matrix multiplication. The Strassen’s algorithm for multiplying 2 × 2 matrices requires seven multiplications and eighteen additions. Winograd showed that seven multiplications are the minimal amount multiplying 2 × 2 matrices. Winograd also discovered a Strassen-like algorithm with fifteen additions together with Coppersmith. Research carried out in this field are generally done through mathematical theorems. The paper attempts to find a better Strassen-like algorithm through an exhaustive method. |
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Shu Jian Jun |
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Shu Jian Jun Oh, Yi Hong |
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Final Year Project |
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Oh, Yi Hong |
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Oh, Yi Hong |
title |
A fast way for matrix multiplication |
title_short |
A fast way for matrix multiplication |
title_full |
A fast way for matrix multiplication |
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A fast way for matrix multiplication |
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A fast way for matrix multiplication |
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fast way for matrix multiplication |
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2018 |
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http://hdl.handle.net/10356/75540 |
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1759854627959865344 |