Search results for " High Performance Computing"

showing 2 items of 2 documents

Programming languages for data-Intensive HPC applications: A systematic mapping study

2020

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Laboratory Ref. UID/ CEC/ 04516/ 2019); INESC-ID Ref. UID/CEC/50021/2019; BioISI Ref. UID/MULTI/04046/2103; LASIGE Research Unit Ref. UID/CEC/00408/ 2019. A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity…

Domain-Specific language (DSL)High performance computing (HPC)Computer scienceComputer Networks and CommunicationsBig data; Data-intensive applications; Domain-Specific language (DSL); General-Purpose language (GPL); High performance computing (HPC); Programming languages; Systematic mapping study (SMS)Systematic mapping study (SMS)Big dataData-intensive applicationsContext (language use)computer.software_genreTheoretical Computer ScienceSoftware portabilityBig dataSoftwareArtificial Intelligencebusiness.industryProgramming languageSoftware developmentGeneral-Purpose language (GPL)UsabilityProgramming languagesDigital libraryComputer Graphics and Computer-Aided DesignHardware and ArchitecturebusinesscomputerSoftware
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Alignment-free Genomic Analysis via a Big Data Spark Platform

2021

Abstract Motivation Alignment-free distance and similarity functions (AF functions, for short) are a well-established alternative to pairwise and multiple sequence alignments for many genomic, metagenomic and epigenomic tasks. Due to data-intensive applications, the computation of AF functions is a Big Data problem, with the recent literature indicating that the development of fast and scalable algorithms computing AF functions is a high-priority task. Somewhat surprisingly, despite the increasing popularity of Big Data technologies in computational biology, the development of a Big Data platform for those tasks has not been pursued, possibly due to its complexity. Results We fill this impo…

FOS: Computer and information sciencesStatistics and Probabilitysequence analysisComputer science0206 medical engineeringBig data02 engineering and technologyMachine learningcomputer.software_genreBiochemistry03 medical and health sciencesSpark (mathematics)MapReduceMolecular Biology030304 developmental biology0303 health sciencesSettore INF/01 - Informaticabusiness.industryBioinformatics High Performance Computing Compressed Data StructuresMapReduce; hadoop; sequence analysisComputer Science ApplicationsComputational MathematicsTask (computing)Computer Science - Distributed Parallel and Cluster ComputingComputational Theory and MathematicsDistributed Parallel and Cluster Computing (cs.DC)Artificial intelligencehadoopbusinesscomputer020602 bioinformaticsBioinformatics
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