Results 1 to 10 of about 7,752,729 (310)
Fine spatial-temporal density mapping with optimized approaches for many-core system [PDF]
Frontiers in NeuroscienceA fine mapping strategy is essential for optimizing the layout and execution speed of large-scale neural networks on many-core systems. However, the benefits of many-core systems diminish when applied to neural networks with significant data and ...
Song Wang +7 more
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Cross-platform programming model for many-core lattice Boltzmann simulations. [PDF]
PLoS ONE, 2021 We present a novel, hardware-agnostic implementation strategy for lattice Boltzmann (LB) simulations, which yields massive performance on homogeneous and heterogeneous many-core platforms.
Jonas Latt +2 more
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Structural Plasticity on the SpiNNaker Many-Core Neuromorphic System [PDF]
Frontiers in Neuroscience, 2018 The structural organization of cortical areas is not random, with topographic maps commonplace in sensory processing centers. This topographical organization allows optimal wiring between neurons, multimodal sensory integration, and performs input ...
Petruț A. Bogdan +3 more
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Many-core algorithms for statistical phylogenetics. [PDF]
Bioinformatics, 2009 Abstract Motivation: Statistical phylogenetics is computationally intensive, resulting in considerable attention meted on techniques for parallelization. Codon-based models allow for independent rates of synonymous and replacement substitutions and have the potential to more adequately model the process of protein-coding sequence ...
Suchard MA, Rambaut A.
europepmc +4 more sources
Fast Object Tracking on a Many-Core Neural Network Chip [PDF]
Frontiers in Neuroscience, 2018 Fast object tracking on embedded devices is of great importance for applications such as autonomous driving, unmanned aerial vehicle, and intelligent monitoring. Whereas, most of previous general solutions failed to reach this goal due to the facts that (
Lei Deng +10 more
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Accelerating Dedispersion Using Many-core Architectures
The Astrophysical Journal Supplement Series, 2023 Astrophysical radio signals are excellent probes of extreme physical processes that emit them. However, to reach Earth, electromagnetic radiation passes through the ionized interstellar medium, introducing a frequency-dependent time delay (dispersion) to
Jan Novotný +4 more
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NMR-MPar: A Fault-Tolerance Approach for Multi-Core and Many-Core Processors
Applied Sciences, 2018 Multi-core and many-core processors are a promising solution to achieve high performance by maintaining a lower power consumption. However, the degree of miniaturization makes them more sensitive to soft-errors.
Vanessa Vargas +3 more
doaj +3 more sources
High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures [PDF]
International Journal of Biomedical Imaging, 2011 Compressive sensing (CS) describes how sparse signals can be accurately reconstructed from many fewer samples than required by the Nyquist criterion.
Daehyun Kim +5 more
doaj +2 more sources
Enforcing Predictability of Many-Cores With DCFNoC [PDF]
IEEE Transactions on Computers, 2021 [EN] The ever need for higher performance forces industry to include technology based on multi-processors system on chip (MPSoCs) in their safety-critical embedded systems. MPSoCs include a network-on-chip (NoC) to interconnect the cores between them and with memory and the rest of shared resources.
Tomás Picornell +3 more
openaire +3 more sources
Concurrency and Computation: Practice and Experience, 2017 SummaryThis paper presents an alternative method to parallelize programs, better suited to manycore processors than actual operating system–/API‐based approaches likeOpenMPandMPI. The method relies on a parallelizing hardware and an adapted programming style. It frees and captures the instruction‐level parallelism (ILP). A many‐core design is presented
Goossens, Bernard +3 more
openaire +2 more sources