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Simulation of 2D inviscid, adiabatic, compressible flows on emulated digital CNN‐UM

https://doi.org/10.1002/cta.565
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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 this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cta.363openalex-snapshot
Emulated digital CNN‐UM solution of partial differential equations
inferredcites →https://doi.org/10.1002/fld.315openalex-snapshot
Space‐time residual distribution schemes for hyperbolic conservation laws on unstructured linear finite elements
inferredcites →https://doi.org/10.1007/s12010-003-0001-6openalex-snapshot
Numerical recipes in C++: The art of scientific computing
inferredcites →https://doi.org/10.1017/cbo9780511606205openalex-snapshot
Computational Fluid Dynamics
inferredcites →https://doi.org/10.1023/b:supe.0000045211.07895.cbopenalex-snapshot
Towards an RCC-Based Accelerator for Computational Fluid Dynamics Applications
inferredcites →https://doi.org/10.1109/81.222805openalex-snapshot
On the applications of the cellular neural network paradigm in mechanical vibrating systems
inferredcites →https://doi.org/10.1109/81.473590openalex-snapshot
Simulating nonlinear waves and partial differential equations via CNN. I. Basic techniques
inferredcites →https://doi.org/10.1109/82.222815openalex-snapshot
The CNN universal machine: an analogic array computer
inferredcites →https://doi.org/10.1109/fccm.2007.20openalex-snapshot
Systolic Architecture for Computational Fluid Dynamics on FPGAs
inferredcites →https://doi.org/10.1109/tcsi.2003.812611openalex-snapshot
Configurable multilayer CNN-UM emulator on FPGA

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.3022openalex-snapshot
Accelerating unstructured finite volume computations on field‐programmable gate arrays
inferred← citeshttps://doi.org/10.1002/cta.796openalex-snapshot
Design space exploration for sparse matrix‐matrix multiplication on FPGAs
inferred← citeshttps://doi.org/10.1007/978-3-319-48799-1_42openalex-snapshot
A Computationally Inexpensive Classifier Merging Cellular Automata and MCP-Neurons
inferred← citeshttps://doi.org/10.1088/2632-2153/ac6ec7openalex-snapshot
A method for finding the background potential of quantum devices from scanning gate microscopy data using machine learning
inferred← citeshttps://doi.org/10.1109/cnna.2012.6331424openalex-snapshot
Two neuron CNN for hypothesis testing
inferred← citeshttps://doi.org/10.1109/cnna.2012.6331439openalex-snapshot
Examining the accuracy and the precision of PDEs for FPGA computations
inferred← citeshttps://doi.org/10.1109/cnna.2012.6331442openalex-snapshot
Automatic generation of locally controlled arithmetic unit via floorplan based partitioning
inferred← citeshttps://doi.org/10.1109/ecctd.2011.6043644openalex-snapshot
Efficient mapping of mathematical expressions to FPGAs: Exploring different design methodologies
inferred← citeshttps://doi.org/10.1109/fpl.2012.6339276openalex-snapshot
FPGA based acceleration of computational fluid flow simulation on unstructured mesh geometry
inferred← citeshttps://doi.org/10.1115/1.4023241openalex-snapshot
A Novel General and Robust Method Based on NAOP for Solving Nonlinear Ordinary Differential Equations and Partial Differential Equations by Cellular Neural Networks
inferred← citeshttps://doi.org/10.1155/2009/923404openalex-snapshot
Simulation of Two-Dimensional Supersonic Flows on Emulated-Digital CNN-UM
inferred← citeshttps://doi.org/10.2991/ijcis.10.1.86openalex-snapshot
Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency
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