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Efficient Table-based Function Approximation on FPGAs Using Interval Splitting and BRAM Instantiation
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-69802-1_3openalex-snapshot
Compressed Sensing Approaches for Polynomial Approximation of High-Dimensional Functions
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Energy and area efficient imprecise compressors for approximate multiplication at nanoscale
inferredcites →https://doi.org/10.1016/j.cam.2011.02.033openalex-snapshot
A fast segmentation algorithm for piecewise polynomial numeric function generators
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100379openalex-snapshot
A survey on deep learning and its applications
inferredcites →https://doi.org/10.1023/a:1009984523264openalex-snapshot
A Few Results on Table-Based Methods
inferredcites →https://doi.org/10.1109/dcoss18718.2011openalex-snapshot
2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS)
inferredcites →https://doi.org/10.1109/ets21204.2013openalex-snapshot
2013 18th IEEE European Test Symposium (ETS)
inferredcites →https://doi.org/10.1109/fpt.2016.7929536openalex-snapshot
FAU: Fast and error-optimized approximate adder units on LUT-Based FPGAs
inferredcites →https://doi.org/10.1109/iccad39534.2017openalex-snapshot
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
inferredcites →https://doi.org/10.1109/icce-tw46550.2019.8991981openalex-snapshot
Hardware Implementation for Multiple Activation Functions
inferredcites →https://doi.org/10.1109/mdat.2015.2505723openalex-snapshot
Approximate Computing: A Survey
inferredcites →https://doi.org/10.1109/tcad.2018.2871198openalex-snapshot
Design Space Exploration of Neural Network Activation Function Circuits
inferredcites →https://doi.org/10.1109/tcsii.2011.2164159openalex-snapshot
Efficient Logarithmic Converters for Digital Signal Processing Applications
inferredcites →https://doi.org/10.1109/tmscs.2017.2696003openalex-snapshot
Algorithm and Design of a Fully Parallel Approximate Coordinate Rotation Digital Computer (CORDIC)
inferredcites →https://doi.org/10.1109/tvlsi.2008.2003165openalex-snapshot
Hierarchical Segmentation for Hardware Function Evaluation
inferredcites →https://doi.org/10.1109/tvlsi.2014.2333366openalex-snapshot
Energy-Efficient Approximate Multiplication for Digital Signal Processing and Classification Applications
inferredcites →https://doi.org/10.1109/tvlsi.2020.3004602openalex-snapshot
PLAC: Piecewise Linear Approximation Computation for All Nonlinear Unary Functions
inferredcites →https://doi.org/10.1145/275107.275139openalex-snapshot
A survey of CORDIC algorithms for FPGA based computers
inferredcites →https://doi.org/10.1145/3505245openalex-snapshot
Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research
inferredcites →https://doi.org/10.1145/3555308openalex-snapshot
Edge-computing-driven Internet of Things: A Survey
inferredcites →https://doi.org/10.3390/electronics8030292openalex-snapshot
A State-of-the-Art Survey on Deep Learning Theory and Architectures
inferredcites →https://doi.org/10.3390/electronics9030471openalex-snapshot
Design and Analysis of an Approximate Adder with Hybrid Error Reduction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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SimBU: Self-Similarity-Based Hybrid Binary-Unary Computing for Nonlinear Functions
inferred← citeshttps://doi.org/10.1109/tvlsi.2026.3708004openalex-snapshot
An Ultralow Resource FPGA Architecture for Cube Root Computation Using Prescaled BRAM Lookup
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Lookup Table-based Computing: A Survey from Software Implementations to Hardware Architectures
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Approximate synthesis for LUT count reduction via probabilistic error propagation
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