Search results for "Fpg"

showing 10 items of 131 documents

A Novel Systolic Parallel Hardware Architecture for the FPGA Acceleration of Feedforward Neural Networks

2019

New chips for machine learning applications appear, they are tuned for a specific topology, being efficient by using highly parallel designs at the cost of high power or large complex devices. However, the computational demands of deep neural networks require flexible and efficient hardware architectures able to fit different applications, neural network types, number of inputs, outputs, layers, and units in each layer, making the migration from software to hardware easy. This paper describes novel hardware implementing any feedforward neural network (FFNN): multilayer perceptron, autoencoder, and logistic regression. The architecture admits an arbitrary input and output number, units in la…

Hardware architectureFloating pointGeneral Computer ScienceArtificial neural networkComputer scienceClock rateActivation functionGeneral EngineeringSistemes informàticsAutoencoderArquitectura d'ordinadorsComputational scienceneural network accelerationFPGA implementationdeep neural networksMultilayer perceptronFeedforward neural networks - FFNNFeedforward neural networkXarxes neuronals (Informàtica)General Materials Sciencelcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971systolic hardware architectureIEEE Access
researchProduct

A Specialized Architecture for Color Image Edge Detection Based on Clifford Algebra

2013

Edge detection of color images is usually performed by applying the traditional techniques for gray-scale images to the three color channels separately. However, human visual perception does not differentiate colors and processes the image as a whole. Recently, new methods have been proposed that treat RGB color triples as vectors and color images as vector fields. In these approaches, edge detection is obtained extending the classical pattern matching and convolution techniques to vector fields. This paper proposes a hardware implementation of an edge detection method for color images that exploits the definition of geometric product of vectors given in the Clifford algebra framework to ex…

Hardware architectureMultispectral MR images.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniColor histogramComputer scienceColor imagebusiness.industryColor image edge detectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFPGA prototypingApplication-specific processorColor quantizationEdge detectionConvolutionComputer Science::Hardware ArchitectureComputer Science::Computer Vision and Pattern RecognitionRGB color modelComputer visionArtificial intelligenceClifford algebrabusinessImage gradient
researchProduct

Communication Interface Generation For HW/SW Architecture In The STARSoC Environment

2006

Mapping the application functionality to software and hardware requires automated methods to specify, generate and optimize the hardware, software, and the interface architectures between them. In this paper, we present a methodology flow to hardware-software communication synthesis for system-on-a-chip (SoC) design through STARSoC (Synthesis Tool for Adaptive and Reconfigurable System-on-a-Chip) tool for rapid prototyping. Our concept consists of a set of hardware and software processes, described in C-code, communicates through the streams channels. This methodology consists in analyzing dependences of data between processes and synthesis a custom architecture to interface it. Firstly, we…

Hardware architectureResource-oriented architectureComputer sciencebusiness.industryInterface (computing)Software prototypingcomputer.software_genreSoftware frameworkComputer architectureEmbedded systemComponent-based software engineeringReference architecturebusinesscomputerFPGA prototype2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)
researchProduct

An MDE Approach for Rapid Prototyping and Implementation of Dynamic Reconfigurable Systems

2015

This article presents a co-design methodology based on RecoMARTE, an extension to the well-known UML MARTE profile, which is used for the specification and automatic generation of Dynamic and Partially Reconfigurable Systems-on-Chip (DRSoC). This endeavor is part of a larger framework in which Model-Driven Engineering (MDE) techniques are extensively used for modeling and via model transformations, generating executable models, which are exploited by implementation tools to create reconfigurable systems. More specifically, the methodological aspects presented in this article are concerned with expediting the conception and implementation of the hardware platform and the integration of corre…

IP ReuseComputer scienceIP-XACT02 engineering and technologyDiscrete Controller Synthesis020204 information systemsIP-XACTVHDLPartial Reconfiguration0202 electrical engineering electronic engineering information engineeringCAD[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsElectrical and Electronic EngineeringField-programmable gate arrayFPGAcomputer.programming_languagebusiness.industrySystem GenerationControl reconfigurationcomputer.file_formatComputer Graphics and Computer-Aided DesignAutomationUML MARTE020202 computer hardware & architectureComputer Science Applications[INFO.INFO-ES] Computer Science [cs]/Embedded SystemsModel Driven EngineeringEmbedded system[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsExecutableModel-driven architecturebusinesscomputer
researchProduct

An Efficient Hardware implementation of MQ Decoder of JPEG2000

2014

International audience; JPEG2000 is an international standard for still images intended to overcome the shortcomings of the existing JPEG standard. Compared to JPEG image compression techniques, JPEG2000 standard has not only better not only has better compression ratios, but it also offers some exciting features. As it's hard to meet the real-time requirement of image compression systems by software, it is necessary to implement compression system by hardware. The MQ decoder of the JPEG2000 standard is an important bottleneck for real-time applications. In order to meet the real-time requirement we propose in this paper a novel architecture for a MQ decoder with high throughput which is co…

Implementation[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsMQ-decoderJPEG-2000FPGA[INFO.INFO-ES] Computer Science [cs]/Embedded Systems
researchProduct

An Efficient Hardware Architecture for the HEVC Intra Prediction

2014

International audience; A novel intra prediction hardware architecture forthe High Efficiency Video Coding (HEVC) is presented in thispaper in order to reduce the computation complexity within thisstandard and to accelerate the concerned calculations, and thusto process more and more of video frames at high resolutions. Wepropose a new pipelined structure that we called ProcessingElement (PE) to calculate the angular prediction modes, and werepeat it in three paths that our design composed of. And wepresent, in this paper, a dynamic structure to carry out thePlanar mode. This architecture supports all intra predictionmodes for 8x8 and 4x4 prediction unit sizes. The synthesis resultsshow tha…

Intra prediction[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingHEVC standardFPGA
researchProduct

The Friedreich's Ataxia protein frataxin modulates DNA base excision repair in prokaryotes and mammals

2010

DNA-repair mechanisms enable cells to maintain their genetic information by protecting it from mutations that may cause malignant growth. Recent evidence suggests that specific DNA-repair enzymes contain ISCs (iron–sulfur clusters). The nuclearencoded protein frataxin is essential for the mitochondrial biosynthesis of ISCs. Frataxin deficiency causes a neurodegenerative disorder named Friedreich's ataxia in humans. Various types of cancer occurring at young age are associated with this disease, and hence with frataxin deficiency. Mice carrying a hepatocyte-specific disruption of the frataxin gene develop multiple liver tumours for unresolved reasons. In the present study, we show that frata…

Iron-Sulfur ProteinsDNA Repairmedicine.disease_causeBiochemistryDNA Glycosylases8-oxoG 78-dihydro-8-oxoguanineMice0302 clinical medicineIron-Binding Proteinsoxidative stressBER base excision repairCells CulturedMammalsMice Knockout0303 health sciencesfrataxinDMEM Dulbecco's modified Eagle's mediumbiologyLiver NeoplasmsSalmonella entericairon–sulfur clusterLife SciencesIron-binding proteinsTransfection3. Good healthLB Luria–BertaniOGG1 8-oxoguanine DNA glycosylase 1ISC iron–sulfur clusterFpg formamido-pyrimidine DNA glycosylaseHPRT hypoxanthine phosphoribosyltransferaseResearch ArticleDNA damageDNA repairSSB DNA single-strand breakTransfectionCell Line03 medical and health sciencesFRDA Friedreich's ataxiaROS reactive oxygen speciesmedicineAnimalsHumansMUTYH human mutY homologue (Escherichia coli)Molecular BiologyGene030304 developmental biologyFriedreich's ataxiaCell BiologyFibroblastsMolecular biologytumorigenesisProkaryotic CellsFriedreich AtaxiaDNA base excision repairDNA glycosylaseMutationHepatocytesFrataxinbiology.proteinInstitut für ErnährungswissenschaftCarcinogenesisMAPK mitogen-activated protein kinase030217 neurology & neurosurgeryDNA Damage
researchProduct

Technics Amélioration for geo-localization in wsn via smart computing and real time application

2022

New technologies exploiting digital information acquisition by radio frequency techniques are now commonly used in various practical fields. They are most often used to measure a variety of physical variables such as temperature, humidity, speed, etc. and are gathered under the name of Wireless Sensor Networks “WSN”. For this variant of applications, the accurate location of connected sensor nodes remains an important issue for researchers and industrial applications. Indeed, existing localization algorithms can be classified into two categories known as « range-based » and « range-free ». Range-based localization systems are characterized by major drawbacks. The first one is the cost of th…

Machine LearningHlsLocalizationRcsfImplémentation MatérielleMachine d'ApprentissageFPGA ImplementationWsnLocalisation[SPI.TRON] Engineering Sciences [physics]/Electronics
researchProduct

Flexible VLIW processor based on FPGA for real-time image processing

2011

Modern FPGA chips, with their larger memory capacity and reconfigurability potential, are opening new frontiers in rapid prototyping of embedded systems. With the advent of high density FPGAs it is now possible to implement a high performance Very Long Instruction Word (VLIW) processor core in an FPGA. With VLIW architecture, the processor effectiveness depends on the ability of compilers to provide sufficient Instruction Level Parallelism (ILP) from program code. This paper describes research result about enabling the VLIW processor model for real-time processing applications by exploiting FPGA technology. Our goals are to keep the flexibility of processors in order to shorten the developm…

Multi-core processorbusiness.industryComputer scienceApplication-specific instruction-set processorReconfigurabilityInstruction setComputer architectureVery long instruction wordEmbedded systemVHDLbusinessInstruction-level parallelismcomputercomputer.programming_languageFPGA prototypeProceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)
researchProduct

PNeuro: A scalable energy-efficient programmable hardware accelerator for neural networks

2018

Proceedings of a meeting held 19-23 March 2018, Dresden, Germany; International audience; Artificial intelligence and especially Machine Learning recently gained a lot of interest from the industry. Indeed, new generation of neural networks built with a large number of successive computing layers enables a large amount of new applications and services implemented from smart sensors to data centers. These Deep Neural Networks (DNN) can interpret signals to recognize objects or situations to drive decision processes. However, their integration into embedded systems remains challenging due to their high computing needs. This paper presents PNeuro, a scalable energy-efficient hardware accelerat…

Neural network hardwareComputer sciencePooling02 engineering and technologyLow power0202 electrical engineering electronic engineering information engineeringSIMDField-programmable gate arrayFPGAComputer architecturesRoutingArtificial neural networkASIC[SCCO.NEUR]Cognitive science/Neuroscience020208 electrical & electronic engineering[SCCO.NEUR] Cognitive science/NeuroscienceField programmable gate arraysConvolution020202 computer hardware & architectureGeneratorsComputer architectureScalabilityHardware accelerationRouting (electronic design automation)Neural networksEfficient energy use
researchProduct