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Edinburgh Research Explorer Matrix Multiplication Beyond AutoTuning: Rewrite based GPU Code Generation Citation for published version: Sewer, M, Rommel, T & Dutch, C 2016, Matrix Multiplication Beyond
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How to fill out matrix multiplication beyond auto-tuning
How to fill out matrix multiplication beyond auto-tuning
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Understand the dimensions of the matrices to be multiplied.
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What is matrix multiplication beyond auto-tuning?
Matrix multiplication beyond auto-tuning refers to the process of optimizing matrix multiplication algorithms manually, rather than relying on automatic tuning techniques.
Who is required to file matrix multiplication beyond auto-tuning?
Developers and researchers who are working on optimizing matrix multiplication algorithms manually are required to file matrix multiplication beyond auto-tuning.
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Matrix multiplication beyond auto-tuning can be filled out by analyzing the algorithmic complexity, memory access patterns, and computational optimizations.
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The purpose of matrix multiplication beyond auto-tuning is to achieve better performance by tailoring the algorithm to the specific hardware and software environment.
What information must be reported on matrix multiplication beyond auto-tuning?
The information that must be reported includes the algorithmic optimizations applied, the performance metrics achieved, and the analysis of the impact on computational efficiency.
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