Search results for "ARM architecture"

showing 4 items of 4 documents

Digital processing of environmental noise samples

2014

sulautettu tietotekniikkahuman auditory systemARM assembly languageäänitekniikkamittausmonitorointiARM architecturekuuloA-weighting filtermelumittaustekniikkaäänenvoimakkuusfixed-point implementationäänenkäsittelyaltistuminenembedded systemsenvironmental noisevalvonta
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A new ATLAS muon CSC readout system with system on chip technology on ATCA platform

2015

The ATLAS muon Cathode Strip Chamber (CSC) backend readout system has been upgraded during the LHC 2013-2015 shutdown to be able to handle the higher Level-1 trigger rate of 100 kHz and the higher occupancy at Run 2 luminosity. The readout design is based on the Reconfigurable Cluster Element (RCE) concept for high bandwidth generic DAQ implemented on the Advanced Telecommunication Computing Architecture (ATCA) platform. The RCE design is based on the new System on Chip XILINX ZYNQ series with a processor-centric architecture with ARM processor embedded in FPGA fabric and high speed I/O resources together with auxiliary memories to form a versatile DAQ building block that can host applicati…

business.product_categoryLarge Hadron Collider010308 nuclear & particles physicsbusiness.industryFirmwareComputer scienceElectronic detector readout concepts (gas liquid)Data acquisition conceptscomputer.software_genre01 natural sciencesARM architectureData acquisition0103 physical sciencesNetwork switchSystem on a chipModular electronics010306 general physicsbusinessField-programmable gate arrayInstrumentationHost (network)computerParticle Physics - ExperimentMathematical PhysicsComputer hardwareJournal of Instrumentation
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FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures

2020

Deep Learning is ubiquitous in a wide field of applications ranging from research to industry. In comparison to time-consuming iterative training of convolutional neural networks (CNNs), inference is a relatively lightweight operation making it amenable to execution on mobile devices. Nevertheless, lower latency and higher computation efficiency are crucial to allow for complex models and prolonged battery life. Addressing the aforementioned challenges, we propose FeatherCNN – a fast inference library for ARM CPUs – targeting the performance ceiling of mobile devices. FeatherCNN employs three key techniques: 1) A highly efficient TensorGEMM (generalized matrix multiplication) routine is app…

020203 distributed computingSource codeIterative methodComputer sciencebusiness.industrymedia_common.quotation_subjectDeep learningInference02 engineering and technologyParallel computingConvolutional neural networkMatrix multiplicationARM architectureComputational Theory and MathematicsHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinessmedia_commonIEEE Transactions on Parallel and Distributed Systems
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Arm security alternatives

2019

Many real-world scenarios such as protecting DRM, online payments and usage in NFC payments in embedded devices require a trustworthy “trusted execution environment” (TEE) platform. The TEE should run on the ARM architecture. That is popular in embedded devices. Furthermore, past experience has proved that such TEE platform should be available in source code form. Without the source code 3rd parties and user cannot be conducted code review audit. Lack of review put doubt on the system as a trustworthy environment. The popular Android OS supports various TEE implementations. Each TEE OS implementation has its own unique way of deploying trusted applications(trustlets) and its own distinct fe…

avoin lähdekoodiverkkomaksaminenvirtualisointitrusted computingARM architectureTrustZonekyberturvallisuusvirtualization
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