Suchergebnisse - Performance Keywords Parallel Array Processing

  1. 1

    A High-Performance Non-Indexed Text Search System von Kieu-Do-Nguyen, Binh, Dang, Tuan-Kiet, The Binh, Nguyen, Pham-Quoc, Cuong, Phuc Nghi, Huynh, Tran, Ngoc-Thinh, Inoue, Katsumi, Pham, Cong-Kha, Hoang, Trong-Thuc

    ISSN: 2079-9292, 2079-9292
    Veröffentlicht: Basel MDPI AG 01.06.2024
    Veröffentlicht in Electronics (01.06.2024)
    “… Full-text search has a wide range of applications, including tracking systems, computer vision, and natural language processing …”
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    Journal Article
  2. 2

    Learning-based parallel acceleration for HaplotypeCaller von Lai, Xiangxing, Xiao, Minguang, Weng, Lingling, Chen, Zhiguang

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 20.08.2025
    Veröffentlicht in BMC bioinformatics (20.08.2025)
    “… ) and insertions/deletions (Indels) in samples. However, when processing large-scale datasets, HaplotypeCaller often faces the challenge of excessively long runtime …”
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    Journal Article
  3. 3

    An Efficient Indexing Approach for Continuous Spatial Approximate Keyword Queries over Geo-Textual Streaming Data von Deng, Ze, Wang, Meng, Wang, Lizhe, Huang, Xiaohui, Han, Wei, Chu, Junde, Zomaya, Albert Y.

    ISSN: 2220-9964, 2220-9964
    Veröffentlicht: Basel MDPI AG 28.01.2019
    Veröffentlicht in ISPRS international journal of geo-information (28.01.2019)
    “… The state-of-the-art continuous spatial-keyword query indexing approaches generally lack both support for approximate keyword matching and high-performance processing for geo-textual streaming data …”
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    Journal Article
  4. 4

    Pheniqs 2.0: accurate, high-performance Bayesian decoding and confidence estimation for combinatorial barcode indexing von Galanti, Lior, Shasha, Dennis, Gunsalus, Kristin C.

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 02.07.2021
    Veröffentlicht in BMC bioinformatics (02.07.2021)
    “… Background Systems biology increasingly relies on deep sequencing with combinatorial index tags to associate biological sequences with their sample, cell, or …”
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    Journal Article
  5. 5

    Fast noisy long read alignment with multi-level parallelism von Xia, Zeyu, Yang, Canqun, Peng, Chenchen, Guo, Yifei, Guo, Yufei, Tang, Tao, Cui, Yingbo

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 02.05.2025
    Veröffentlicht in BMC bioinformatics (02.05.2025)
    “… Additionally, a single CPU’s performance bottleneck restricts the effectiveness of alignment algorithms for SMRT sequencing …”
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    Journal Article
  6. 6

    P-TransUNet: an improved parallel network for medical image segmentation von Chong, Yanwen, Xie, Ningdi, Liu, Xin, Pan, Shaoming

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 18.07.2023
    Veröffentlicht in BMC bioinformatics (18.07.2023)
    “… Deep learning-based medical image segmentation has made great progress over the past decades. Scholars have proposed many novel transformer-based segmentation …”
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    Journal Article
  7. 7

    Impact of concurrency on the performance of a whole exome sequencing pipeline von Dall’Olio, Daniele, Curti, Nico, Fonzi, Eugenio, Sala, Claudia, Remondini, Daniel, Castellani, Gastone, Giampieri, Enrico

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 09.02.2021
    Veröffentlicht in BMC bioinformatics (09.02.2021)
    “… ’ pipeline at a time. We refer to this approach as naive parallel strategy (NPS). Here, we discuss an alternative approach, which we refer to as concurrent execution strategy (CES …”
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    Journal Article
  8. 8

    HPC-T-Annotator: an HPC tool for de novo transcriptome assembly annotation von Arcioni, Lorenzo, Arcieri, Manuel, Martino, Jessica Di, Liberati, Franco, Bottoni, Paolo, Castrignanò, Tiziana

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 21.08.2024
    Veröffentlicht in BMC bioinformatics (21.08.2024)
    “… Results To mitigate the computational burden, we introduce HPC-T-Annotator, a tool for de novo transcriptome homology annotation on high performance …”
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    Journal Article
  9. 9

    Multiple k −opt evaluation multiple k −opt moves with GPU high performance local search to large-scale traveling salesman problems von Qiao, Wen-Bao, Créput, Jean-Charles

    ISSN: 1012-2443, 1573-7470
    Veröffentlicht: Cham Springer International Publishing 01.04.2020
    Veröffentlicht in Annals of mathematics and artificial intelligence (01.04.2020)
    “… (Graphics Processing Unit) parallel 2-/3-opt evaluation with characteristic of “data parallelism, decentralized control and O (1 …”
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    Journal Article
  10. 10

    High throughput automatic muscle image segmentation using parallel framework von Cui, Lei, Feng, Jun, Zhang, Zizhao, Yang, Lin

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 28.03.2019
    Veröffentlicht in BMC bioinformatics (28.03.2019)
    “… Methods In this paper, we propose a novel distributed computing approach, which adopts both data and model parallel, for fast muscle cell segmentation …”
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    Journal Article
  11. 11

    A Survey on Graph Processing Accelerators: Challenges and Opportunities von Gui, Chuang-Yi, Zheng, Long, He, Bingsheng, Liu, Cheng, Chen, Xin-Yu, Liao, Xiao-Fei, Jin, Hai

    ISSN: 1000-9000, 1860-4749
    Veröffentlicht: New York Springer US 01.03.2019
    Veröffentlicht in Journal of computer science and technology (01.03.2019)
    “… , data science and machine learning. Despite a wealth of existing efforts on developing graph processing systems for improving the performance and/or energy efficiency on traditional architectures, dedicated hardware solutions, also …”
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    Journal Article
  12. 12

    MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data von Shahryary, Yadollah, Hazarika, Rashmi R., Johannes, Frank

    ISSN: 1471-2164, 1471-2164
    Veröffentlicht: London BioMed Central 13.07.2020
    Veröffentlicht in BMC genomics (13.07.2020)
    “… The efficient pre-processing of these large amounts of data poses major computational challenges and creates unnecessary bottlenecks for downstream analysis and biological interpretation …”
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    Journal Article
  13. 13

    SparkBLAST: scalable BLAST processing using in-memory operations von de Castro, Marcelo Rodrigo, Tostes, Catherine dos Santos, Dávila, Alberto M. R., Senger, Hermes, da Silva, Fabricio A. B.

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 27.06.2017
    Veröffentlicht in BMC bioinformatics (27.06.2017)
    “… Background The demand for processing ever increasing amounts of genomic data has raised new challenges for the implementation of highly scalable and efficient computational systems …”
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    Journal Article
  14. 14

    DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data von Patsalis, Christopher, Iyer, Gayatri, Brandenburg, Marci, Karnovsky, Alla, Michailidis, George

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 18.12.2024
    Veröffentlicht in BMC bioinformatics (18.12.2024)
    “… Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis …”
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    Journal Article
  15. 15

    ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors von Choi, Jongin, Park, Jina, Lee, Jae-Jin, Pedram, Massoud, Lee, Woojoo

    ISSN: 1558-111X
    Veröffentlicht: IEEE 06.08.2025
    “… Multi-channel keyword spotting (KWS) has become crucial for voice-based applications in edge environments …”
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    Tagungsbericht
  16. 16

    Virtual Grid Engine: a simulated grid engine environment for large-scale supercomputers von Ito, Satoshi, Yadome, Masaaki, Nishiki, Tatsuo, Ishiduki, Shigeru, Inoue, Hikaru, Yamaguchi, Rui, Miyano, Satoru

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 02.12.2019
    Veröffentlicht in BMC bioinformatics (02.12.2019)
    “… However, their use is still limited in the bioinformatics field due to the fundamental fact that the asynchronous parallel processing service of Grid Engine is not provided …”
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    Journal Article
  17. 17

    eccCL: parallelized GPU implementation of Ensemble Classifier Chains von Riemenschneider, Mona, Herbst, Alexander, Rasch, Ari, Gorlatch, Sergei, Heider, Dominik

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 17.08.2017
    Veröffentlicht in BMC bioinformatics (17.08.2017)
    “… , derived from next-generation sequencing experiments. By adapting algorithms for the use of graphics processing units, computational efficiency can be greatly improved due to parallelization of computations …”
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  18. 18

    High-speed FPGA-based Design and Implementation of Text Search Processor von Kieu-Do-Nguyen, Binh, Kiet, Dang Tuan, Hoang, Trong-Thuc, Inoue, Katsumi, Usugi, Toshinori, Odaka, Masanori, Kameyama, Shuichi, Pham, Cong-Kha

    ISSN: 2691-0462
    Veröffentlicht: IEEE 21.09.2022
    “… Full-text search provides methods to quickly locate multiple keywords inside extensive text data and has gained more consideration in recent years …”
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    Tagungsbericht
  19. 19

    Variable-order reference-free variant discovery with the Burrows-Wheeler Transform von Prezza, Nicola, Pisanti, Nadia, Sciortino, Marinella, Rosone, Giovanna

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 16.09.2020
    Veröffentlicht in BMC bioinformatics (16.09.2020)
    “… ) bad performance in repeated regions longer than k bases. The preliminary tool, however, was able to identify only SNPs and it was too slow and memory consuming due to the use of additional heavy data structures …”
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    Journal Article
  20. 20

    GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies von Kim, Jeremie S., Senol Cali, Damla, Xin, Hongyi, Lee, Donghyuk, Ghose, Saugata, Alser, Mohammed, Hassan, Hasan, Ergin, Oguz, Alkan, Can, Mutlu, Onur

    ISSN: 1471-2164, 1471-2164
    Veröffentlicht: London BioMed Central 09.05.2018
    Veröffentlicht in BMC genomics (09.05.2018)
    “… Background Seed location filtering is critical in DNA read mapping, a process where billions of DNA fragments (reads) sampled from a donor are mapped onto a …”
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    Journal Article