Articles with "hardware acceleration" as a keyword



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Hardware acceleration of multibody simulations for real-time embedded applications

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Published in 2020 at "Multibody System Dynamics"

DOI: 10.1007/s11044-020-09738-w

Abstract: New products in the automotive and aerospace industries must provide increased energy efficiency and exceed previous performance, safety and reliability. To meet these expectations, the role of simulation continues to grow. Within this context, simulation… read more here.

Keywords: hardware acceleration; real time; time; embedded applications ... See more keywords
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Hardware Acceleration of a Generalized Fast 2-D Convolution Method for Deep Neural Networks

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3149505

Abstract: The hardware acceleration of Deep Neural Networks (DNN) is a highly effective and viable solution for running them on mobile devices. The power of DNNs is now available at the edge in a compact and… read more here.

Keywords: convolution; spp2d; hardware acceleration; bold bold ... See more keywords
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Pre-Defined Sparse Neural Networks With Hardware Acceleration

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Published in 2019 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"

DOI: 10.1109/jetcas.2019.2910864

Abstract: Neural networks have proven to be extremely powerful tools for modern artificial intelligence applications, but computational and storage complexity remain limiting factors. This paper presents two compatible contributions towards reducing the time, energy, computational, and… read more here.

Keywords: defined sparse; hardware acceleration; pre defined; neural networks ... See more keywords
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Hardware Acceleration and a Grateful Goodbye

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Published in 2018 at "IEEE Micro"

DOI: 10.1109/mm.2018.2880169

Abstract: After two terms and a four-year stint, this issue is my last as Editor-in-Chief of IEEE MICRO. It has been an amazing and rewarding experience with 24 issues in total. A couple theme issues are… read more here.

Keywords: hardware acceleration; acceleration grateful; grateful goodbye;
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Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks

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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2022.3197512

Abstract: Spiking neural networks (SNNs) compute in an event-based manner to achieve a more efficient computation than standard neural networks. In SNNs, neuronal outputs are not encoded as real-valued activations but as sequences of binary spikes.… read more here.

Keywords: neural networks; spiking neural; efficient hardware; sparsely active ... See more keywords
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SMT Solver With Hardware Acceleration

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Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2022.3209550

Abstract: Satisfiability modulo theories (SMTs), an extension of Boolean satisfiability (SAT) problem, is widely used in many application domains because of its rich expressiveness. Thus, there are many works trying to speedup the process of SAT/SMT… read more here.

Keywords: smt solver; hardware; smt; solver hardware ... See more keywords
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Hardware Acceleration of MUSIC Algorithm for Sparse Arrays and Uniform Linear Arrays

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Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2022.3162303

Abstract: Multiple Signal Classification (MUSIC) is a high-performance Direction of Arrival (DOA) estimation algorithm, which has been widely used. The algorithm needs to calculate the covariance matrix, eigenvalue decomposition and spectral peak search. In the paper,… read more here.

Keywords: music algorithm; algorithm; acceleration music; uniform linear ... See more keywords