Found: 12
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QPU integration in OpenCL for heterogeneous programming.
- Published in:
- Journal of Supercomputing, 2024, v. 80, n. 8, p. 11682, doi. 10.1007/s11227-023-05879-9
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- Article
An unsupervised perplexity-based method for boilerplate removal.
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- Natural Language Engineering, 2024, v. 30, n. 1, p. 132, doi. 10.1017/S1351324923000049
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- Article
A machine learning approach to model the impact of line edge roughness on gate-all-around nanowire FETs while reducing the carbon footprint.
- Published in:
- PLoS ONE, 2023, v. 18, n. 7, p. 1, doi. 10.1371/journal.pone.0288964
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- Article
BigSeqKit: a parallel Big Data toolkit to process FASTA and FASTQ files at scale.
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- GigaScience, 2023, v. 12, n. 1, p. 1, doi. 10.1093/gigascience/giad062
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- Article
Very Fast Tree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4658, doi. 10.1093/bioinformatics/btaa582
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- Article
A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 13, p. 4752, doi. 10.3390/ijerph17134752
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- Article
A big data approach to metagenomics for all-food-sequencing.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-3429-6
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- Article
PASTASpark: multiple sequence alignment meets Big Data.
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- Bioinformatics, 2017, v. 33, n. 18, p. 2948, doi. 10.1093/bioinformatics/btx354
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- Article
SparkBWA: Speeding Up the Alignment of High-Throughput DNA Sequencing Data.
- Published in:
- PLoS ONE, 2016, v. 11, n. 5, p. 1, doi. 10.1371/journal.pone.0155461
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- Article
BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies.
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- Bioinformatics, 2015, v. 31, n. 24, p. 4003, doi. 10.1093/bioinformatics/btv506
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- Article
A hardware counter-based toolkit for the analysis of memory accesses in SMPs.
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- Concurrency & Computation: Practice & Experience, 2014, v. 26, n. 6, p. 1328, doi. 10.1002/cpe.3122
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- Article
Using sampled information: is it enough for the sparse matrix-vector product locality optimization?
- Published in:
- Concurrency & Computation: Practice & Experience, 2014, v. 26, n. 1, p. 98, doi. 10.1002/cpe.2949
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- Publication type:
- Article