Search results for "Clock rate"

showing 6 items of 6 documents

Extending PluTo for Multiple Devices by Integrating OpenACC

2018

For many years now, processor vendors increased the performance of their devices by adding more cores and wider vectorization units to their CPUs instead of scaling up the processors' clock frequency. Moreover, GPUs became popular for solving problems with even more parallel compute power. To exploit the full potential of modern compute devices, specific codes are necessary which are often coded in a hardware-specific manner. Usually, the codes for CPUs are not usable for GPUs and vice versa. The programming API OpenACC tries to close this gap by enabling one code-base to be suitable and optimized for many devices. Nevertheless, OpenACC is rarely used by `standard programmers' and while dif…

060201 languages & linguisticsMulti-core processorExploitComputer scienceClock rate06 humanities and the arts02 engineering and technologyParallel computingUSablecomputer.software_genrePluto0602 languages and literature0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCompilercomputer2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
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Adapting power consumption to performance requirements in a MSP430 microcontroller

2005

Microcontroller based low power systems using batteries must run at low clock frequencies with short activity periods to extend battery life. These constraints reduce the microcontroller computational capabilities and limit the complexity of algorithms that can be used. New microcontroller architectures, as the Texas Instruments MSP430 family, allow to adapt power consumption to application performance requirements combining several low power modes with the capability of switching the clock frequency dynamically. A complete characterization of power consumption vs. performance has been obtained for the MSP430. A method to determine the range of clock frequencies that meets a consumption and…

Battery (electricity)Engineeringbusiness.industryClock ratePower (physics)Electric power systemMicrocontrollerPower electronicsEmbedded systemLow-power electronicsElectronic engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSbusinessPower controlConference on Electron Devices, 2005 Spanish
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FPGA/LST-SW Encryption Module Implementation for Satellite Remote Sensing Secure Systems

2020

The need for security of data transmitted from satellites to the ground has increased. Therefore, the need for secure onboard systems is in great demand, particularly in satellite remote sensing missions. This paper describes an approach for a secure Field Programmable Gate Arrays (FPGA) implementation of the Land Surface Temperature Split Window (LST-SW) algorithm, with objective to meat real-time requirements, area optimization and achieved higher Throughput goals to be sufficient for a secure remote sensing satellite applications and missions. The system is designed using VHDL (VHSIC Hardware Description Language) in a Highlevel design method. The experimental results demonstrate that th…

Computer scienceRemote sensing (archaeology)business.industrySatellite remote sensingVHDLClock ratebusinessEncryptionField-programmable gate arraycomputerThroughput (business)Computer hardwarecomputer.programming_language2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS)
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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
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Performance of the ATLAS silicon strip detector modules

1998

Abstract The performance of the silicon strip detector prototypes developed for use in ATLAS at the LHC is reported. Baseline detector assemblies (“modules”) of 12 cm length were read out with binary electronics at 40 MHz clock speed. For both irradiated and unirradiated modules, the tracking efficiency, noise occupancy, and position resolution were measured as a function of bias voltage, binary hit threshold, and detector rotation angle in a 1.56 T magnetic field. Measurements were also performed at a particle flux comparable to the one expected at the LHC.

PhysicsNuclear and High Energy PhysicsLarge Hadron ColliderPhysics::Instrumentation and Detectorsbusiness.industryClock rateDetectorBiasingTracking (particle physics)Noise (electronics)Nuclear magnetic resonanceOpticsmedicine.anatomical_structureAtlas (anatomy)medicinebusinessInstrumentationImage resolutionNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Boosting working memory with accelerated clocks

2021

Our perception of time varies with the degree of cognitive engagement in tasks. The perceived passage of time accelerates while working on demanding tasks, whereas time appears to drag during boring situations. Our experiment aimed at investigating whether this relationship is mutual: Can manipulated announcements of elapsed time systematically affect the attentional resources applied to a cognitive task? We measured behavioral performance and the EEG in a whole report working memory paradigm with six items of different colors that each had to be reported after a short delay period. The 32 participants were informed about the current time after each 20 trials, while the clock was running at…

Subjective timepassagePosterior alphaFrontal thetaAdultMaleBoosting (machine learning)Computer scienceCognitive NeuroscienceClock rateElectroencephalography050105 experimental psychologylcsh:RC321-57103 medical and health sciencesYoung Adult0302 clinical medicineEncoding (memory)Task engagementsubjective timepassage ; posterior alpha ; frontal theta ; time perception ; CDA ; working memory ; task engagementmedicineHumans0501 psychology and cognitive sciencesEffects of sleep deprivation on cognitive performancelcsh:Neurosciences. Biological psychiatry. Neuropsychiatrymedicine.diagnostic_testWorking memory05 social sciencesWorking memoryBrainCognitionElectroencephalographyTime perceptionTheta oscillationsMemory Short-TermNeurologyCovertTime PerceptionFemale030217 neurology & neurosurgeryCognitive psychology
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