Essays about: "Parallellisering"
Showing result 11 - 15 of 28 essays containing the word Parallellisering.
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11. Performance Evaluation of a Signal Processing Algorithm with General-Purpose Computing on a Graphics Processing Unit
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Graphics Processing Units (GPU) are increasingly being used for general-purpose programming, instead of their traditional graphical tasks. This is because of their raw computational power, which in some cases give them an advantage over the traditionally used Central Processing Unit (CPU). READ MORE
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12. Efficient array for solving sudoku problem
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : In Knuth’s example of Dancing Links and Algorithm X (DLX), pointers were used to connect the neighbors with each other. This has caused problems when DLX is used for parallelisation and to solve this some workaround is needed. One solution is to store the pointers as indicesin an array instead. READ MORE
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13. Performance of Priority-Based Game Object Scheduling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This paper investigates alternative scheduling for game objects in a game engine by using priority based algorithms and comparing different priority assigning methods. Research concerning commercial game engines, game loops, concurrency and scheduling was performed. READ MORE
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14. Deterministic Concurrency Using Lattices and the Object Capability Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Parallelization is an important part of modern data systems. However, the non-determinism of thread scheduling introduces the difficult problem of considering all different execution orders when constructing an algorithm. Therefore deterministic-by-design concurrent systems are attractive. READ MORE
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15. Improving performance of sequential code through automatic parallelization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic parallelization is the conversion of sequential code into multi-threaded code with little or no supervision. An ideal implementation of automatic parallelization would allow programmers to fully utilize available hardware resources to deliver optimal performance when writing code. READ MORE