National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Algortihm Optimization Using SIMD Instructions
Sedláček, Marek ; Rydlo, Štěpán (referee) ; Orság, Filip (advisor)
This thesis talks about techniques which can be used to optimize run time of algorithms. For a demonstration of these techniques algorithms from different fields were chosen, namely particle swarm optimization, circle drawing algorithm and image (matrix) rotation algorithm. These algorithms were written in Python 3, C language and assembly language using SIMD instructions. While writing these codes emphases was placed on code efficiency. These practices were in this thesis described and compared, same as the impact on algorithm optimization. Performed tests upheld expected potential of SIMD technology for optimization, but also that this approach cannot be used in all cases. In case of circle drawing the SIMD approach achieved more than ten times better speeds than the serial implementation in C and more than one thousand times better speed than Python 3 implementation. In case of particle swarm optimization the result was opposite -- serial C implementation achieved a better speed than SIMD implementation.
Algortihm Optimization Using SIMD Instructions
Sedláček, Marek ; Rydlo, Štěpán (referee) ; Orság, Filip (advisor)
This thesis talks about techniques which can be used to optimize run time of algorithms. For a demonstration of these techniques algorithms from different fields were chosen, namely particle swarm optimization, circle drawing algorithm and image (matrix) rotation algorithm. These algorithms were written in Python 3, C language and assembly language using SIMD instructions. While writing these codes emphases was placed on code efficiency. These practices were in this thesis described and compared, same as the impact on algorithm optimization. Performed tests upheld expected potential of SIMD technology for optimization, but also that this approach cannot be used in all cases. In case of circle drawing the SIMD approach achieved more than ten times better speeds than the serial implementation in C and more than one thousand times better speed than Python 3 implementation. In case of particle swarm optimization the result was opposite -- serial C implementation achieved a better speed than SIMD implementation.

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