NettetTable 1. Smith-Waterman, example design parameters. 4.1. The Smith-Waterman Algorithm The Smith-Waterman algorithm finds an optimally-matched local subsequence between a given query se-quence and and a standard sequence from the genome database. The algorithm was first proposed by T. Smith and M.Waterman in 1981. Still … NettetSWIMM2.0 is a software to accelerate Smith-Waterman protein database search on Intel Xeon and Xeon Phi processors. SWIMM2.0 extends its previous version adding …
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Nettet11. aug. 2024 · The well-known Smith-Waterman (SW) algorithm is the most commonly used method for local sequence alignments. However, SW is very computationally … Nettet1. jun. 2011 · The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest approach to parallelisation with SIMD technology has previously been described by Farrar in 2007. don\u0027t put another dime in the jukebox youtube
Faster Smith-Waterman database searches with inter-sequence …
NettetA fast implementation of the Smith-Waterman sequence-alignment algorithm using Single-Instruction, Multiple-Data (SIMD) technology is presented. This implementation is … Nettet1. nov. 2024 · Host 2 × Intel Xeon E5-2670 2.60Ghz 2 × Intel Xeon E5-2695 v3 2.30Ghz 2 × Intel Xeon E5-2695 v3 2.30Ghz (16 cores, 32GB RAM) (28 cores, 64 GB RAM) (28 cores, 128 GB RAM) Accelerator Intel Arria ... Nettet16. nov. 2006 · All three Smith–Waterman implementations were written in C using Intel SSE2 intrinsic functions. The programs were compiled using Microsoft Visual C++ 2005 with optimization set for maximum speed. By using SSE2 intrinsic functions instead of assembler, the compiler was responsible for optimizations, such as register usage, … city of hollywood recreation