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Acceleration of Algorithms for Approximate String Matching
Voženílek, Jan ; Kořenek, Jan (referee) ; Martínek, Tomáš (advisor)
The objective of this bachelor's thesis is to design and implement architecture for FPGA chips that accelerates matching of two strings and scoring them for similarity. Used processes come from bioinformatics algorithms, especially Needleman-Wunsch and Smith-Waterman. Due to general design and generic implementation in VHDL the unit is able to compare any sequences of characters, which is a task widely used in many branches of informatics from database searches (where approximate matching allows discovery of spelling errors) to spam detection. Depending on task specification the acceleration speed up against common software solution can reach orders of hundreds or even thousands.
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Acceleration of Methods for Searching Palindroms and Repetitive Structures
Voženílek, Jan ; Kořenek, Jan (referee) ; Martínek, Tomáš (advisor)
Genetic information of all living organisms is stored in DNA. Exploring of its structure and function represents an important area of research in modern biology. One of the interesting structures occurring in DNA are palindromes. Based on the research they are expected to play an important role in interpreting the information stored in DNA, because they are often observed near important genes. Palindromes searching is complicated by the presence of mutations (changes in sequences of DNA elements), which increases the time complexity of algorithms. Therefore it is reasonable to study their parallelization and acceleration. The objective of this work is a study of palindromes searching methods and acceleration architecture design. The hardware unit implemented in a chip with FPGA technology placed on ml555 board can speed up the calculation up to 6 667 times in comparison with the best-known software method relying on suffix arrays.
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Acceleration of Methods for Searching Palindroms and Repetitive Structures
Voženílek, Jan ; Kořenek, Jan (referee) ; Martínek, Tomáš (advisor)
Genetic information of all living organisms is stored in DNA. Exploring of its structure and function represents an important area of research in modern biology. One of the interesting structures occurring in DNA are palindromes. Based on the research they are expected to play an important role in interpreting the information stored in DNA, because they are often observed near important genes. Palindromes searching is complicated by the presence of mutations (changes in sequences of DNA elements), which increases the time complexity of algorithms. Therefore it is reasonable to study their parallelization and acceleration. The objective of this work is a study of palindromes searching methods and acceleration architecture design. The hardware unit implemented in a chip with FPGA technology placed on ml555 board can speed up the calculation up to 6 667 times in comparison with the best-known software method relying on suffix arrays.
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|
|
Acceleration of Algorithms for Approximate String Matching
Voženílek, Jan ; Kořenek, Jan (referee) ; Martínek, Tomáš (advisor)
The objective of this bachelor's thesis is to design and implement architecture for FPGA chips that accelerates matching of two strings and scoring them for similarity. Used processes come from bioinformatics algorithms, especially Needleman-Wunsch and Smith-Waterman. Due to general design and generic implementation in VHDL the unit is able to compare any sequences of characters, which is a task widely used in many branches of informatics from database searches (where approximate matching allows discovery of spelling errors) to spam detection. Depending on task specification the acceleration speed up against common software solution can reach orders of hundreds or even thousands.
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