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PUBMED FOR HANDHELDS

Journal Abstract Search


184 related items for PubMed ID: 19416548

  • 1. CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units.
    Liu Y, Maskell DL, Schmidt B.
    BMC Res Notes; 2009 May 06; 2():73. PubMed ID: 19416548
    [Abstract] [Full Text] [Related]

  • 2. CUDASW++2.0: enhanced Smith-Waterman protein database search on CUDA-enabled GPUs based on SIMT and virtualized SIMD abstractions.
    Liu Y, Schmidt B, Maskell DL.
    BMC Res Notes; 2010 Apr 06; 3():93. PubMed ID: 20370891
    [Abstract] [Full Text] [Related]

  • 3. CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions.
    Liu Y, Wirawan A, Schmidt B.
    BMC Bioinformatics; 2013 Apr 04; 14():117. PubMed ID: 23557111
    [Abstract] [Full Text] [Related]

  • 4. CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment.
    Manavski SA, Valle G.
    BMC Bioinformatics; 2008 Mar 26; 9 Suppl 2(Suppl 2):S10. PubMed ID: 18387198
    [Abstract] [Full Text] [Related]

  • 5. Improving the Mapping of Smith-Waterman Sequence Database Searches onto CUDA-Enabled GPUs.
    Huang LT, Wu CC, Lai LF, Li YJ.
    Biomed Res Int; 2015 Mar 26; 2015():185179. PubMed ID: 26339591
    [Abstract] [Full Text] [Related]

  • 6. GAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda.
    Wang S, Kim J, Jiang X, Brunner SF, Ohno-Machado L.
    BMC Med Genomics; 2014 Mar 26; 7 Suppl 1(Suppl 1):S9. PubMed ID: 25077821
    [Abstract] [Full Text] [Related]

  • 7. Speeding-up Bioinformatics Algorithms with Heterogeneous Architectures: Highly Heterogeneous Smith-Waterman (HHeterSW).
    Gálvez S, Ferusic A, Esteban FJ, Hernández P, Caballero JA, Dorado G.
    J Comput Biol; 2016 Oct 26; 23(10):801-9. PubMed ID: 27104636
    [Abstract] [Full Text] [Related]

  • 8. CUDA-BLASTP: accelerating BLASTP on CUDA-enabled graphics hardware.
    Liu W, Schmidt B, Müller-Wittig W.
    IEEE/ACM Trans Comput Biol Bioinform; 2011 Oct 26; 8(6):1678-84. PubMed ID: 21339531
    [Abstract] [Full Text] [Related]

  • 9. SWPS3 - fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2.
    Szalkowski A, Ledergerber C, Krähenbühl P, Dessimoz C.
    BMC Res Notes; 2008 Oct 29; 1():107. PubMed ID: 18959793
    [Abstract] [Full Text] [Related]

  • 10. GPU-accelerated protein sequence alignment.
    Hasan L, Kentie M, Al-Ars Z.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Oct 29; 2011():2442-6. PubMed ID: 22254835
    [Abstract] [Full Text] [Related]

  • 11. ADEPT: a domain independent sequence alignment strategy for gpu architectures.
    Awan MG, Deslippe J, Buluc A, Selvitopi O, Hofmeyr S, Oliker L, Yelick K.
    BMC Bioinformatics; 2020 Sep 15; 21(1):406. PubMed ID: 32933482
    [Abstract] [Full Text] [Related]

  • 12. SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences.
    Rucci E, Garcia C, Botella G, De Giusti A, Naiouf M, Prieto-Matias M.
    BMC Syst Biol; 2018 Nov 20; 12(Suppl 5):96. PubMed ID: 30458766
    [Abstract] [Full Text] [Related]

  • 13. GPU-based cloud service for Smith-Waterman algorithm using frequency distance filtration scheme.
    Lee ST, Lin CY, Hung CL.
    Biomed Res Int; 2013 Nov 20; 2013():721738. PubMed ID: 23653898
    [Abstract] [Full Text] [Related]

  • 14. DOPA: GPU-based protein alignment using database and memory access optimizations.
    Hasan L, Kentie M, Al-Ars Z.
    BMC Res Notes; 2011 Jul 28; 4():261. PubMed ID: 21798061
    [Abstract] [Full Text] [Related]

  • 15. Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation.
    Rognes T.
    BMC Bioinformatics; 2011 Jun 01; 12():221. PubMed ID: 21631914
    [Abstract] [Full Text] [Related]

  • 16. Accelerating Smith-Waterman Alignment for Protein Database Search Using Frequency Distance Filtration Scheme Based on CPU-GPU Collaborative System.
    Liu Y, Hong Y, Lin CY, Hung CL.
    Int J Genomics; 2015 Jun 01; 2015():761063. PubMed ID: 26568953
    [Abstract] [Full Text] [Related]

  • 17. Accelerating the Smith-Waterman algorithm with interpair pruning and band optimization for the all-pairs comparison of base sequences.
    Okada D, Ino F, Hagihara K.
    BMC Bioinformatics; 2015 Oct 06; 16():321. PubMed ID: 26445214
    [Abstract] [Full Text] [Related]

  • 18. CUDAMPF: a multi-tiered parallel framework for accelerating protein sequence search in HMMER on CUDA-enabled GPU.
    Jiang H, Ganesan N.
    BMC Bioinformatics; 2016 Feb 27; 17():106. PubMed ID: 26920848
    [Abstract] [Full Text] [Related]

  • 19. Coupling SIMD and SIMT architectures to boost performance of a phylogeny-aware alignment kernel.
    Alachiotis N, Berger SA, Stamatakis A.
    BMC Bioinformatics; 2012 Aug 09; 13():196. PubMed ID: 22876807
    [Abstract] [Full Text] [Related]

  • 20. Design and implementation of a hybrid MPI-CUDA model for the Smith-Waterman algorithm.
    Khaled H, Faheem Hel D, El Gohary R.
    Int J Data Min Bioinform; 2015 Aug 09; 12(3):313-27. PubMed ID: 26510289
    [Abstract] [Full Text] [Related]


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