4,520 research outputs found

    Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning

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    Customized compute acceleration in the datacenter is key to the wider roll-out of applications based on deep neural network (DNN) inference. In this article, we investigate how to maximize the performance and scalability of field-programmable gate array (FPGA)-based pipeline dataflow DNN inference accelerators (DFAs) automatically on computing infrastructures consisting of multi-die, network-connected FPGAs. We present Elastic-DF, a novel resource partitioning tool and associated FPGA runtime infrastructure that integrates with the DNN compiler FINN. Elastic-DF allocates FPGA resources to DNN layers and layers to individual FPGA dies to maximize the total performance of the multi-FPGA system. In the resulting Elastic-DF mapping, the accelerator may be instantiated multiple times, and each instance may be segmented across multiple FPGAs transparently, whereby the segments communicate peer-to-peer through 100 Gbps Ethernet FPGA infrastructure, without host involvement. When applied to ResNet-50, Elastic-DF provides a 44% latency decrease on Alveo U280. For MobileNetV1 on Alveo U200 and U280, Elastic-DF enables a 78% throughput increase, eliminating the performance difference between these cards and the larger Alveo U250. Elastic-DF also increases operating frequency in all our experiments, on average by over 20%. Elastic-DF therefore increases performance portability between different sizes of FPGA and increases the critical throughput per cost metric of datacenter inference. Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Computer Engineerin

    Hydrodynamical turbulence by fractal fourier decimation

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    We present a systematic numerical investigation of high-resolution 3D isotropic and homogeneous turbulence resolved on a decimated set of Fourier modes. Fractal decimation acts to decrease the effective dimensionality of the flow by allowing triadic interactions only in a set of Fourier modes N(k) proportional to k^DF for large k. While keeping the symmetries of the original 3D Navier-Stokes equations unchanged, a dramatic change in small-scale statistics is detected at decreasing the fractal dimension DF . Already at fractal dimension DF = 2.8, a global self-similar behaviour is observed in the inertial range of scales, the consequence of such transition are the restoration of the scaling symmetry and vorticity distribution that becomes close to Gaussian. We relate the results to the different roles of local vs non-local interactions in the energy transfer range

    'Response by the author, Daniel F. Vukovich.'

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    Response by the author (Vukovich) to a review of Illiberal China (my 2019 monograph

    Oedothorax banksi Lin & Lopardo & Uhl 2022, INCERTAE

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    ‘ OEDOTHORAX ’ BANKSI STRAND, 1906 INCERTAE SEDIS Gongylidium sp. Banks, 1900: 480. Oedothorax banksi Strand, 1906: 445 (Df). Type material: Banks’ description (1900) was based on two females collected from Muir Glacier in 1899, but no type designation was mentioned. Diagnosis: Females: From original description in Banks (1900): ‘the epigynum is an elliptical area with a nearly square cavity in posterior part; on middle of hind margin is a denticle projecting forward’. Although difficult to comprehend the structure solely based on this description, the presence of a cavity in the posterior part of the epigye discriminates this species from all Oedothorax, Mitrager, Callitrichia species and their related genera, like Gongylidium and Timeticus. Males: Unknown. Distribution: USA, Alaska. Habitat: Glacier. Remarks: Due to the unavailability of type material and any images in the original descriptions of this species, the current status of this species is unclear.Published as part of Lin, Shou-Wang, Lopardo, Lara & Uhl, Gabriele, 2022, Evolution of nuptial-gift-related male prosomal structures: taxonomic revision and cladistic analysis of the genus Oedothorax (Araneae: Linyphiidae: Erigoninae), pp. 417-584 in Zoological Journal of the Linnean Society 195 on page 541, DOI: 10.1093/zoolinnean/zlab033, http://zenodo.org/record/696777

    02_Fig2_output_of_published_version

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    Intermediate results for the behavior classifier, synchronized behavioral and neural data used for the General Linear Model (GLM). Also for generating plots of DF/F predictions based on behavior, the turning matrix, turning-based predictions of DF/F, convolved PEs predictions of DF/F. The subfolder named "overview_..." includes the intermediate results of the GLM needed to generate the Unique Explained Variance plots and matrices relating neural activity to joint angles, legs, leg pairs, or behaviors

    DF AND HF LASER SPECTRA

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    1^{1}W. B. Roh and K. Narahari Rao, J. Mol. Spectrosc. 49, 317 (1974).""Author Institution: Department of Physics, The Ohio State University; Department of Electrical Engineering, The Ohio State UniversityA pulsed laser was used as a source to study DF and HF infrared laser spectra with a grating spectrometer. The rotational structure observed for the 1-0, 2-1, and 3-2 bands of DF, and the 1-0 and 2-1 bands of HF has been measured by following a procedure similar to that used for the CO laser spectra.1spectra.^{1} Molecular constants derived by combining these laser measurements with other available data will be presented

    OPTOACOUSTIC MEASUREMENT OF DF LASER ABSORPTION BY METHANE

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    Author Institution:An optoacoustic system has been constructed for measurement of absorption of DF laser radiation. Absorption by methane in Argon and Nitrogen has been measured at 15 DF laser lines in the 3.6 – 4.0 μm\mu m region. Construction and calibration of the spectrophone will be discussed

    Comparison of system architecture and converter topology for a solar powered electric vehicle charging station

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    Accepted Author ManuscriptOld - EWI-ESE-DC&S DC systems & StoragePhotovoltaic Materials and Device

    MOTIVATION TO LEARN AMONG OLDER ADULTS IN TAIWAN

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    [[abstract]]This study analyzed the survey on adults administered by the Ministry of Education in Taiwan in 2008, and logistic regression analysis showed a close relationship between learning motivations of older adults. The finding revealed that the higher age or the lower education attainment of older adults, the lower their learning motivation. The investigation of environmental factors showed that developing a comprehensive learning model boosts the participation of older adults. The study considered both individual and environmental factors, and it found being relatively young, female, and lonely had higher learning motivation. Also, the learning styles involving group activities and online learning stimulated the learning motivation of older adults.[[note]]SSC
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