Search Results - Algorithm Parallelization. Keywords CUDA

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  1. 1

    A Parallelization of Non-Serial Polyadic Dynamic Programming on GPU by Diwan, Tausif, Tembhurne, Jitendra

    ISSN: 1330-1136, 1846-3908
    Published: Sveuciliste U Zagrebu 01.06.2019
    “…Parallelization of Non-Serial Polyadic Dynamic Programming (NPDP) on high-throughput manycore architectures, such as NVIDIA GPUs, suffers from load imbalance, i.e…”
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    Journal Article Paper
  2. 2

    Parallelization of heterogeneous reactor calculations on a graphics processing unit by Malofeev, V. M., Pal’shin, V. A.

    ISSN: 1063-7788, 1562-692X
    Published: Moscow Pleiades Publishing 01.12.2016
    Published in Physics of atomic nuclei (01.12.2016)
    “…Parallelization is applied to the neutron calculations performed by the heterogeneous method on a graphics processing unit…”
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    Journal Article
  3. 3

    Parallel alpha-beta algorithm on the GPU by Strnad, D., Guid, N.

    ISBN: 1612848974, 9781612848976
    ISSN: 1330-1012, 1330-1136, 1846-3908
    Published: IEEE 01.12.2011
    “…In the paper we present the parallel implementation of the alpha-beta algorithm running on the graphics processing unit (GPU…”
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    Conference Proceeding Journal Article Paper
  4. 4

    rapidGSEA: Speeding up gene set enrichment analysis on multi-core CPUs and CUDA-enabled GPUs by Hundt, Christian, Hildebrandt, Andreas, Schmidt, Bertil

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 23.09.2016
    Published in BMC bioinformatics (23.09.2016)
    “…Background Gene Set Enrichment Analysis (GSEA) is a popular method to reveal significant dependencies between predefined sets of gene symbols and observed…”
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    Journal Article
  5. 5

    GPU based numerical simulation of core shooting process by Zhang, Yi-zhong, Lu, Gao-chun, Ni, Chang-jiang, Jing, Tao, Yang, Lin-long, Wu, Qin-fang

    ISSN: 1672-6421, 2365-9459, 1672-6421
    Published: Singapore Springer Singapore 01.09.2017
    Published in China foundry (01.09.2017)
    “… The parallel algorithm based on the Compute Unified Device Architecture(CUDA) platform can significantly decrease computing time by multi…”
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    Journal Article
  6. 6

    Optimizing the Bellman-Ford Algorithm Using GPU Parallelization by Cholla, Dr. Raman

    ISSN: 2582-3930, 2582-3930
    Published: 12.05.2025
    “…ABSTRACT The Bellman-Ford algorithm's temporal complexity of O(VE) renders it ineffective for big and dense networks, which is a serious computational disadvantage…”
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    Journal Article
  7. 7

    Removing duplicate reads using graphics processing units by Manconi, Andrea, Moscatelli, Marco, Armano, Giuliano, Gnocchi, Matteo, Orro, Alessandro, Milanesi, Luciano

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 08.11.2016
    Published in BMC bioinformatics (08.11.2016)
    “…Background During library construction polymerase chain reaction is used to enrich the DNA before sequencing. Typically, this process generates duplicate read…”
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    Journal Article
  8. 8

    HECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data by Wirawan, Adrianto, Harris, Robert S, Liu, Yongchao, Schmidt, Bertil, Schröder, Jan

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 06.05.2014
    Published in BMC bioinformatics (06.05.2014)
    “… In this algorithm, for the first time we have investigated a novel homopolymer spectrum based approach to handle homopolymer insertions or deletions, which are the dominant sequencing errors in 454 pyrosequencing reads…”
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    Journal Article
  9. 9

    CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions by Liu, Yongchao, Wirawan, Adrianto, Schmidt, Bertil

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 04.04.2013
    Published in BMC bioinformatics (04.04.2013)
    “… For the GPU computation, we have investigated for the first time a GPU SIMD parallelization, which employs CUDA PTX SIMD video instructions to gain more data parallelism beyond the SIMT execution model…”
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    Journal Article