On the public citation graph
Proceedings. 15th IEEE International Conference on Application-Specific Systems, Architectures and Processors, 2004.
0 signed · 12 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11704-016-6159-1openalex-snapshot
A survey of neural network accelerators
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.01.021openalex-snapshot
Analysis of the Leaky Integrate-and-Fire neuron model for GPU implementation
inferred← citeshttps://doi.org/10.1016/j.micpro.2017.01.002openalex-snapshot
A novel power efficient 0.64-GFlops fused 32-bit reversible floating point arithmetic unit architecture for digital signal processing applications
inferred← citeshttps://doi.org/10.1016/j.micpro.2017.01.010openalex-snapshot
Design of a reversible floating-point square root using modified non-restoring algorithm
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.04.007openalex-snapshot
Dynamic parallelism for synaptic updating in GPU-accelerated spiking neural network simulations
inferred← citeshttps://doi.org/10.1016/j.supcon.2024.100099openalex-snapshot
An energy-efficient 32-bit bit-parallel superconducting SFQ specialized processor
inferred← citeshttps://doi.org/10.1145/2536747.2536755openalex-snapshot
Accelerating radiation dose calculation
inferred← citeshttps://doi.org/10.1145/3487025openalex-snapshot
Adaptive Computation Reuse for Energy-Efficient Training of Deep Neural Networks
inferred← citeshttps://doi.org/10.1145/3606949openalex-snapshot
An Electro-Photonic System for Accelerating Deep Neural Networks
inferred← citeshttps://doi.org/10.1162/neco_a_01499openalex-snapshot
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks
inferred← citeshttps://doi.org/10.1504/ijes.2008.022391openalex-snapshot
Application-specific permutation networks
inferred← citeshttps://doi.org/10.4304/jcp.8.4.859-873openalex-snapshot
Mapping Floating-Point Kernels onto High Performance Reconfigurable Computers
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