Search results for "computer.programming_language"

showing 10 items of 986 documents

Distributed Computing on Distributed Memory

2018

Distributed computation is formalized in several description languages for computation, as e.g. Unified Modeling Language (UML), Specification and Description Language (SDL), and Concurrent Abstract State Machines (CASM). All these languages focus on the distribution of computation, which is somewhat the same as concurrent computation. In addition, there is also the aspect of distribution of state, which is often neglected. Distribution of state is most commonly represented by communication between active agents. This paper argues that it is desirable to abstract from the communication and to consider abstract distributed state. This includes semantic handling of conflict resolution, e.g. i…

Computer scienceSemantics (computer science)ConcurrencyDistributed computing020207 software engineering0102 computer and information sciences02 engineering and technology01 natural sciencesSpecification and Description LanguageUnified Modeling Language010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringAbstract state machinesDistributed memoryMemory modelState (computer science)computercomputer.programming_language
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The Sliced COO Format for Sparse Matrix-Vector Multiplication on CUDA-enabled GPUs

2012

Abstract Existing formats for Sparse Matrix-Vector Multiplication (SpMV) on the GPU are outperforming their corresponding implementations on multi-core CPUs. In this paper, we present a new format called Sliced COO (SCOO) and an effcient CUDA implementation to perform SpMV on the GPU. While previous work shows experiments on small to medium-sized sparse matrices, we perform evaluations on large sparse matrices. We compared SCOO performance to existing formats of the NVIDIA Cusp library. Our resutls on a Fermi GPU show that SCOO outperforms the COO and CSR format for all tested matrices and the HYB format for all tested unstructured matrices. Furthermore, comparison to a Sandy-Bridge CPU sho…

Computer scienceSparse matrix-vector multiplicationCUDAParallel computingMatrix (mathematics)CUDAFactor (programming language)SpMVGeneral Earth and Planetary SciencesMultiplicationcomputerFermiGeneral Environmental Sciencecomputer.programming_languageSparse matrixProcedia Computer Science
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MATLAB Co-Simulation Tools for Power Supply Systems Design

2011

ion level. Circuit simulation software as Powersim PSIM and Orcad Pspice are the most common choice for circuit modelling. In (Basso, 2008), the design and simulation of switchmode power supplies is deeply analyzed and simulation tips in several environments are proposed. ASIC simulation and verification tools as Xilinx ISE/Modelsim or Aldec ActiveHDL are available to implement the digital controller by the VHDL or VERILOG source code. Since the interaction between subsystems is the most common source of faults, testing separately analog and digital subsystems by the means of different verification tools is a severe mistake. Matlab is a powerful simulation environment for mixed-mode systems…

Computer scienceVoltage regulator moduleCo-simulationSettore ING-INF/01 - ElettronicaElectronic circuit simulationlaw.inventionMicroprocessorpower electronics MATLAB switching converterslawControl theoryPower electronicsElectronic engineeringVerilogcomputerModelSimcomputer.programming_language
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Assessing 4th Grade Students’ Computational Thinking through Scratch Programming Projects

2020

Computational thinking (CT) has been introduced in primary schools worldwide. However, rich classroom-based evidence and research on how to assess and support students’ CT through programming are particularly scarce. This empirical study investigates 4th grade students’ (N = 57) CT in a comparatively comprehensive and fine-grained manner by assessing their Scratch projects (N = 325) with a framework that was revised from previous studies to aim towards enhancing CT. The results demonstrate in detail the various coding patterns and code constructs the students programmed in assorted projects throughout a programming course and the extent to which they had conceptual encounters with CT. Notab…

Computer scienceassessmentTroubleshootingThinking skillsohjelmointikieletprimary schoolEducationFormative assessmentcomputational thinkingConcept learningComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationScratch -ohjelmointicomputer.programming_languagelcsh:LC8-6691lcsh:Special aspects of educationCommunicationComputational thinkingalakoululaisetmatemaattinen ajatteluComputer Science ApplicationsscratchScratchohjelmointiarviointicomputerInformatics in Education
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On Multiple AER Handshaking Channels Over High-Speed Bit-Serial Bidirectional LVDS Links With Flow-Control and Clock-Correction on Commercial FPGAs f…

2017

Address event representation (AER) is a widely employed asynchronous technique for interchanging “neural spikes” between different hardware elements in neuromorphic systems. Each neuron or cell in a chip or a system is assigned an address (or ID), which is typically communicated through a high-speed digital bus, thus time-multiplexing a high number of neural connections. Conventional AER links use parallel physical wires together with a pair of handshaking signals (request and acknowledge). In this paper, we present a fully serial implementation using bidirectional SATA connectors with a pair of low-voltage differential signaling (LVDS) wires for each direction. The proposed implementation …

Computer sciencebusiness.industry020208 electrical & electronic engineeringBiomedical EngineeringSignal Processing Computer-AssistedEquipment Design02 engineering and technologyDifferential signalingHandshakingTransmission (telecommunications)Neuromorphic engineeringAsynchronous communicationEmbedded systemVHDL0202 electrical engineering electronic engineering information engineeringVerilog020201 artificial intelligence & image processingNeural Networks ComputerElectrical and Electronic EngineeringField-programmable gate arraybusinesscomputercomputer.programming_language
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Milestones of complex computing facility assembling

2015

IMCS UL continues its enduring development of research e-infrastructure, participates in international projects such as GEANT, GN2, GN3, GN3+, GN4, BalticGRID, BG II and EGI-InSPIRE, has involved in CLARIN and ELIXIR ESFRI ERIC activities. Currently IMCS UL maintains Scientific Cloud unified computing facility realized as ½ PTB SAN storage (IBM DS4700 with servers); provides collocation, hosting and virtualization services. As well it operates as a node for online correlation data streaming services from Irbene radio telescope in real time, HPC resources' disposal for computing tasks, usage of Big data extracted from data storage for modeling and also for graphic data processing. In the sam…

Computer sciencebusiness.industryBig dataCloud computingVirtualizationcomputer.software_genreWorld Wide WebEngineering managementProcurementServermedia_common.cataloged_instanceElixir (programming language)European unionbusinesscomputermedia_commoncomputer.programming_language2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG)
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Interpretable machine learning models for single-cell ChIP-seq imputation

2019

AbstractMotivationSingle-cell ChIP-seq (scChIP-seq) analysis is challenging due to data sparsity. High degree of data sparsity in biological high-throughput single-cell data is generally handled with imputation methods that complete the data, but specific methods for scChIP-seq are lacking. We present SIMPA, a scChIP-seq data imputation method leveraging predictive information within bulk data from ENCODE to impute missing protein-DNA interacting regions of target histone marks or transcription factors.ResultsImputations using machine learning models trained for each single cell, each target, and each genomic region accurately preserve cell type clustering and improve pathway-related gene i…

Computer sciencebusiness.industryCell chipPython (programming language)Machine learningcomputer.software_genreENCODEIdentification (information)Simulated dataFeature (machine learning)Imputation (statistics)Artificial intelligenceCluster analysisbusinesscomputercomputer.programming_language
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OWL2: The Next Step for OWL

2008

Since achieving W3C recommendation status in 2004, the Web Ontology Language (OWL) has been successfully applied to many problems in computer science. Practical experience with OWL has been quite positive in general; however, it has also revealed room for improvement in several areas. We systematically analyze the identied short-comings of OWL, such as expressivity issues, problems with its syntaxes, and deficiencies in the definition of OWL species. Furthermore, we present an overview of OWL 2 -- an extension to and revision of OWL that is currently being developed within the W3C OWL Working Group. Many aspects of OWL have been thoroughly reengineered in OWL 2, thus producing a robust plat…

Computer sciencebusiness.industryComputingMethodologies_DOCUMENTANDTEXTPROCESSINGWeb Ontology LanguageInformationSystems_MISCELLANEOUSOntology languageSoftware engineeringbusinessComputingMethodologies_ARTIFICIALINTELLIGENCESemantic Webcomputercomputer.programming_languageSSRN Electronic Journal
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QUALITATIVE MODELING OF CELL GROWTH PROCESSES

1988

In this paper we present a qualitative physics model to reason about cell growth processes and cell-drug interactions, to be used in the knowledge base of NEWCHEM, an expert system intended to guide experimentation in the design of new optimal protocols in cancer treatment, After a brief discussion of the contributions that artificial intelligence techniques could make in cancer research and a brief presentation of some currently developed expert systems, some details of the proposed model based on the Forbus and Kuipers approaches to qualitative physics are given and its implementation as a LISP program is briefly discussed.

Computer sciencebusiness.industryManagement sciencemedia_common.quotation_subjectcomputer.software_genreExpert systemCancer treatmentPresentationQualitative physicsKnowledge baseArtificial IntelligenceLispArtificial intelligencebusinesscomputercomputer.programming_languagemedia_commonApplied Artificial Intelligence
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Exploring FPGA Based Lock-in Techniques for Brain Monitoring Applications

2017

Functional Near Infrared Spectroscopy (fNIRS) systems for e-health applications usually suffer of poor signal detection mainly due to a low end-to-end signal to noise ratio of the electronics chain. Lock-In Amplifiers (LIA) historically represent a powerful technique helping to improve performances in such circumstances. In this work it has been designed and implemented a digital LIA system, based on a Zynq® Field Programmable Gate Array (FPGA), trying to explore if this technique might improve fNIRS system performances. More broadly, FPGA based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and i…

Computer sciencebusiness.industryNoise (signal processing)Emphasis (telecommunications)Signallaw.inventionMicroprocessorlawelectrical_electronic_engineeringVHDLDetection theorybusinessField-programmable gate arrayDigital filtercomputerComputer hardwarecomputer.programming_language
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