Search results for "Smith-Waterman"

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Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters

2016

Computing alignments between two or more sequences are common operations frequently performed in computational molecular biology. The continuing growth of biological sequence databases establishes the need for their efficient parallel implementation on modern accelerators. This paper presents new approaches to high performance biological sequence database scanning with the Smith-Waterman algorithm and the first stage of progressive multiple sequence alignment based on the ClustalW heuristic on a Xeon Phi-based compute cluster. Our approach uses a three-level parallelization scheme to take full advantage of the compute power available on this type of architecture; i.e. cluster-level data par…

0301 basic medicineXeon Phi clustersComputer scienceData parallelismParallel algorithm02 engineering and technologyDynamic programmingBiochemistryPairwise sequence alignmentComputational science03 medical and health sciencesStructural BiologyComputer cluster0202 electrical engineering electronic engineering information engineeringAmino Acid SequenceDatabases ProteinMolecular Biology020203 distributed computingResearchApplied MathematicsComputational BiologyProteinsSmith-WatermanComputer Science Applications030104 developmental biologyMultiple sequence alignmentDatabases Nucleic AcidSequence AlignmentAlgorithmsSoftwareXeon PhiBMC Bioinformatics
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CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions

2013

Background The maximal sensitivity for local alignments makes the Smith-Waterman algorithm a popular choice for protein sequence database search based on pairwise alignment. However, the algorithm is compute-intensive due to a quadratic time complexity. Corresponding runtimes are further compounded by the rapid growth of sequence databases. Results We present CUDASW++ 3.0, a fast Smith-Waterman protein database search algorithm, which couples CPU and GPU SIMD instructions and carries out concurrent CPU and GPU computations. For the CPU computation, this algorithm employs SSE-based vector execution units as accelerators. For the GPU computation, we have investigated for the first time a GPU …

Methodology ArticleGPUCUDASoftware_PROGRAMMINGTECHNIQUESBiochemistryComputer Science ApplicationsSmith-WatermanConcurrent executionSequence Analysis ProteinPTX SIMD instructionsDatabases ProteinMolecular BiologySequence AlignmentAlgorithmsSoftwareBMC Bioinformatics
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