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Optimization of sparse matrix-vector multiplication using reordering techniques on GPUs., , , and . Microprocess. Microsystems, 36 (2): 65-77 (2012)Ignis: An efficient and scalable multi-language Big Data framework., , and . Future Gener. Comput. Syst., (2020)Using sampled information: is it enough for the sparse matrix-vector product locality optimization?, , , , and . Concurr. Comput. Pract. Exp., 26 (1): 98-117 (2014)BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies., , , and . Bioinform., 31 (24): 4003-4005 (2015)CiTIUS at the TREC 2021 Health Misinformation Track., , , , and . TREC, volume 500-335 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2021)Reordering Algorithms for Increasing Locality on Multicore Processors., , and . HPCC, page 123-130. IEEE Computer Society, (2008)Lessons Learnt Porting Parallelisation Techniques for Irregular Codes to NUMA Systems., , , , and . PDP, page 213-217. IEEE Computer Society, (2010)Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks., and . IEEE Access, (2019)Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time., , and . CERI, page 18:1-18:8. ACM, (2018)A flexible and dynamic page migration infrastructure based on hardware counters., , , , and . J. Supercomput., 65 (2): 930-948 (2013)