Showing 3 open source projects for "speedup"

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  • 1

    LightSpMV

    lightweight GPU-based sparse matrix-vector multiplication (SpMV)

    ...We have evaluated LightSpMV using various sparse matrices and further compared it to the CSR-based SpMV subprograms in the state-of-the-art CUSP and cuSPARSE. Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and 1.79 over cuSPARSE for single and double precision, respectively.
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  • 2
    MICA-aligner

    MICA-aligner

    Next-generation sequencing short reads aligner based on Intel® MIC

    ...Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity allows very efficient scale-up when multiple MIC boards are used in a node (3 cards gives a 14-fold speedup over 6-core BWA-MEM).
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  • 3
    primeScaff
    primeScaff is intended to automate the sometimes tedious process of manually designing specific primer pairs around gaps of genomic scaffolds and speedup the genome finishing stage of a genome sequencing project. It incorporates de-novo repeat finding using RECON to avoid as much as possible designing primers in repetitive regions and offers the possibility to easily fine-tune the primer design options using primer3. It outputs the repeat, gap and primer annotations in gff2 and gff3 to easily load and visualize the results using tools like UGENE (recommended) or artemis.
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