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Browsing by Author "Dutt, Nikil"

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    A framework to explore workload-specific performance and lifetime trade-offs in nNeuromorphic computing

    Balaji, Adarsha
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    Song, Shihao
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    Das, Anup
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    Dutt, Nikil
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    Krichmar, Jeff
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    Kandasamy, Nagarajan
    Journal article
    2019, IEEE Computer Architecture Letters, (18) 2, p.149-152
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    Data-reuse-driven energy-aware cosynthesis of scratch pad memory and hierarchical bus-based communication architecture for multiprocessor streaming applications

    Issenin, Ilya
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    Brockmeyer, Erik
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    Durinck, Bart
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    Dutt, Nikil
    Journal article
    2008, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, (27) 8, p.1439-1452
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    DRDU: a data reuse analysis technique for efficient scratch pad memory management

    Issenin, Ilya
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    Brockmeyer, Erik
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    Miranda Corbalan, Miguel
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    Dutt, Nikil
    Journal article
    2007-04, ACM Transactions on Design Automation of Electronic Systems (TODAES), (12) 2, p.article 15
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    Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition

    Balaji, Adarsha
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    Song, Shihao
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    Das, Anup
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    Krichmar, Jeff
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    Dutt, Nikil
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    Kandasamy, N
    Journal article
    2021, IEEE EMBEDDED SYSTEMS LETTERS, (13) 3, p.142-145
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    Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware

    Titirsha, Twisha
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    Song, Shihao
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    Das, Anup
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    Krichmar, Jeffrey
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    Dutt, Nikil
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    Kandasamy, Nagarajan
    Journal article
    2022, IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, (33) 2, p.288-301
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    Mapping spiking neural networks to neuromorphic hardware

    Balaji, Adarsha
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    Das, Anup
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    Wu, Yuefeng
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    Huynh, Khanh
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    Dell' Anna, Francesco
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    Indiveri, Giacomo
    Journal article
    2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, (28) 1, p.76-86
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    Unsupervised heart-rate estimation in wearables with liquid states and a probabilistic readout

    Das, Anup
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    Pradhapan, Paruthi
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    Groenendaal, Willemijn  
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    Adiraju, Prathyusha
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    Rajan, Raj Thilak
    Journal article
    2018, Neural Networks, 99, p.134-147

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