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Regime Inference for Sound Floating-Point Optimizations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-25543-5_11openalex-snapshot
Sound Approximation of Programs with Elementary Functions
inferredcites →https://doi.org/10.1007/978-3-030-30942-8_4openalex-snapshot
Formally Verified Roundoff Errors Using SMT-based Certificates and Subdivisions
inferredcites →https://doi.org/10.1007/978-3-030-31784-3_17openalex-snapshot
Synthesizing Efficient Low-Precision Kernels
inferredcites →https://doi.org/10.1007/978-3-030-58475-7_37openalex-snapshot
A Branch-and-bound Algorithm to Rigorously Enclose the Round-Off Errors
inferredcites →https://doi.org/10.1007/978-3-319-19249-9_33openalex-snapshot
Rigorous Estimation of Floating-Point Round-off Errors with Symbolic Taylor Expansions
inferredcites →https://doi.org/10.1007/978-3-319-54292-8_6openalex-snapshot
Toward a Standard Benchmark Format and Suite for Floating-Point Analysis
inferredcites →https://doi.org/10.1007/978-3-319-66266-4_14openalex-snapshot
Automatic Estimation of Verified Floating-Point Round-Off Errors via Static Analysis
inferredcites →https://doi.org/10.1007/978-3-319-89960-2_15openalex-snapshot
Daisy - Framework for Analysis and Optimization of Numerical Programs (Tool Paper)
inferredcites →https://doi.org/10.1007/978-3-540-79707-4_3openalex-snapshot
Static Analysis of the Accuracy in Control Systems: Principles and Experiments
inferredcites →https://doi.org/10.1016/j.jocs.2019.07.004openalex-snapshot
Auto-tuning for floating-point precision with Discrete Stochastic Arithmetic
inferredcites →https://doi.org/10.1109/acssc.2014.7094664openalex-snapshot
A domain splitting algorithm for the mathematical functions code generator
inferredcites →https://doi.org/10.1109/aspdac.2017.7858297openalex-snapshot
Efficient floating point precision tuning for approximate computing
inferredcites →https://doi.org/10.1109/iccps.2018.00028openalex-snapshot
Sound Mixed-Precision Optimization with Rewriting
inferredcites →https://doi.org/10.1109/icse.2019.00116openalex-snapshot
Global Optimization of Numerical Programs Via Prioritized Stochastic Algebraic Transformations
inferredcites →https://doi.org/10.1109/prdc.2013.44openalex-snapshot
Applying Reduced Precision Arithmetic to Detect Errors in Floating Point Multiplication
inferredcites →https://doi.org/10.1109/sc.2018.00051openalex-snapshot
ADAPT: Algorithmic Differentiation Applied to Floating-Point Precision Tuning
inferredcites →https://doi.org/10.1109/sc41405.2020.00055openalex-snapshot
Scalable yet Rigorous Floating-Point Error Analysis
inferredcites →https://doi.org/10.1145/103162.103163openalex-snapshot
What every computer scientist should know about floating-point arithmetic
inferredcites →https://doi.org/10.1145/1879021.1879024openalex-snapshot
Automatic verification of control system implementations
inferredcites →https://doi.org/10.1145/2594291.2594302openalex-snapshot
Stochastic optimization of floating-point programs with tunable precision
inferredcites →https://doi.org/10.1145/2714064.2660231openalex-snapshot
Chisel: Reliability- and Accuracy-Aware Optimization of Approximate Computational Kernels
inferredcites →https://doi.org/10.1145/2737924.2737959openalex-snapshot
Automatically improving accuracy for floating point expressions
inferredcites →https://doi.org/10.1145/2908080.2908107openalex-snapshot
Verifying bit-manipulations of floating-point
inferredcites →https://doi.org/10.1145/3009837.3009846openalex-snapshot
Rigorous floating-point mixed-precision tuning
inferredcites →https://doi.org/10.1145/3230733openalex-snapshot
Rigorous Estimation of Floating-Point Round-Off Errors with Symbolic Taylor Expansions
inferredcites →https://doi.org/10.1145/3290369openalex-snapshot
Efficient automated repair of high floating-point errors in numerical libraries
inferredcites →https://doi.org/10.1145/3385412.3386037openalex-snapshot
Towards an API for the real numbers
inferredcites →https://doi.org/10.1177/1094342016652462openalex-snapshot
Fine-grained floating-point precision analysis
inferredcites →https://doi.org/10.14529/jsfi170206openalex-snapshot
Beating Floating Point at its Own Game: Posit Arithmetic
inferredcites →https://doi.org/10.23919/date.2018.8342167openalex-snapshot
A transprecision floating-point platform for ultra-low power computing
inferredcites →https://doi.org/10.5220/0006915501850194openalex-snapshot
Mixed Precision Tuning with Salsa
inferredcites →https://doi.org/10.5555/1946284.1946301openalex-snapshot
Static analysis of finite precision computations
inferredcites →https://doi.org/10.5555/2555754.2555776openalex-snapshot
Synthesis of fixed-point programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-99524-9_16openalex-snapshot
Inferring Interval-Valued Floating-Point Preconditions
inferred← citeshttps://doi.org/10.1007/978-981-96-0092-2_11openalex-snapshot
Single-Precision Floating-Point Adder Based on IEEE 754 Standard Through Verilog
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00139openalex-snapshot
Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial Extrapolation
inferred← citeshttps://doi.org/10.1109/ichci67614.2025.11291818openalex-snapshot
TC-FC: Two-Stage Chebyshev-Based Floating-Point Error Compensation
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00026openalex-snapshot
Toward Automated Precision Tuning of Weather and Climate Models: A Case Study
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00027openalex-snapshot
Towards Verifying Exact Conditions for Implementations of Density Functional Approximations
inferred← citeshttps://doi.org/10.1145/3650200.3656618openalex-snapshot
Input Range Generation for Compiler-Induced Numerical Inconsistencies
inferred← citeshttps://doi.org/10.1145/3650212.3680378openalex-snapshot
Arfa: An Agile Regime-Based Floating-Point Optimization Approach for Rounding Errors
inferred← citeshttps://doi.org/10.1145/3763137openalex-snapshot
Cost of Soundness in Mixed-Precision Tuning
inferred← citeshttps://doi.org/10.1145/3804601.3804637openalex-snapshot
Floating-Point Expression Precision Optimization Method Based on Genetic Algorithms and Expression Rewriting
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