Grupo de Arquitectura de Computadores (GAC)
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Accelerating the quality control of genetic sequences through stream processing
(Association for Computing Machinery, 2023)[Abstract]: Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, needing to have ... -
SeQual-Stream: approaching stream processing to quality control of NGS datasets
(BMC, 2023-10)[Abstract]: Background Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, ... -
Enabling Hardware Affinity in JVM-Based Applications: A Case Study for Big Data
(Springer, 2020)[Abstract]: Java has been the backbone of Big Data processing for more than a decade due to its interesting features such as object orientation, cross-platform portability and good programming productivity. In fact, most ... -
MREv: An Automatic MapReduce Evaluation Tool for Big Data Workloads
(Elsevier, 2015)[Abstract]: The popularity of Big Data computing models like MapReduce has caused the emergence of many frameworks oriented to High Performance Computing (HPC) systems. The suitability of each one to a particular use case ... -
bioScience: A new python science library for high-performance computing bioinformatics analytics
(Elsevier Ltd, 2024)[Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude ...