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Detecting floating-point errors via atomic conditions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-19249-9_33openalex-snapshot
Rigorous Estimation of Floating-Point Round-off Errors with Symbolic Taylor Expansions
inferredcites →https://doi.org/10.1109/apsec.2017.7openalex-snapshot
Efficient Global Search for Inputs Triggering High Floating-Point Inaccuracies
inferredcites →https://doi.org/10.1109/arith.2009.31openalex-snapshot
Decimal Transcendentals via Binary
inferredcites →https://doi.org/10.1109/icse.2015.70openalex-snapshot
A Genetic Algorithm for Detecting Significant Floating-Point Inaccuracies
inferredcites →https://doi.org/10.1109/icse.2019.00107openalex-snapshot
CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries
inferredcites →https://doi.org/10.1109/ieeestd.2008.4610935openalex-snapshot
IEEE Standard for Floating-Point Arithmetic
inferredcites →https://doi.org/10.1137/0701008openalex-snapshot
A Precision Approximation of the Gamma Function
inferredcites →https://doi.org/10.1137/1.9780898718027openalex-snapshot
Accuracy and Stability of Numerical Algorithms
inferredcites →https://doi.org/10.1145/103162.103163openalex-snapshot
What every computer scientist should know about floating-point arithmetic
inferredcites →https://doi.org/10.1145/2254064.2254118openalex-snapshot
A dynamic program analysis to find floating-point accuracy problems
inferredcites →https://doi.org/10.1145/2429069.2429133openalex-snapshot
Automatic detection of floating-point exceptions
inferredcites →https://doi.org/10.1145/2509136.2509526openalex-snapshot
On-the-fly detection of instability problems in floating-point program execution
inferredcites →https://doi.org/10.1145/2555243.2555265openalex-snapshot
Efficient search for inputs causing high floating-point errors
inferredcites →https://doi.org/10.1145/2737924.2737959openalex-snapshot
Automatically improving accuracy for floating point expressions
inferredcites →https://doi.org/10.1145/2814270.2814317openalex-snapshot
Automated backward error analysis for numerical code
inferredcites →https://doi.org/10.1145/2908080.2908107openalex-snapshot
Verifying bit-manipulations of floating-point
inferredcites →https://doi.org/10.1145/2950290.2950355openalex-snapshot
Detecting and fixing precision-specific operations for measuring floating-point errors
inferredcites →https://doi.org/10.1145/3192366.3192411openalex-snapshot
Finding root causes of floating point error
inferredcites →https://doi.org/10.1145/3230733openalex-snapshot
Rigorous Estimation of Floating-Point Round-Off Errors with Symbolic Taylor Expansions
inferredcites →https://doi.org/10.1145/3236024.3236057openalex-snapshot
Testing probabilistic programming systems
inferredcites →https://doi.org/10.1145/3290369openalex-snapshot
Efficient automated repair of high floating-point errors in numerical libraries
inferredcites →https://doi.org/10.23919/fmcad.2017.8102236openalex-snapshot
On sound relative error bounds for floating-point arithmetic
inferredcites →https://doi.org/10.5281/zenodo.1476881openalex-snapshot
mpmath: a Python library for arbitrary-precision floating-point arithmetic
inferredcites →https://doi.org/10.5555/1946284.1946301openalex-snapshot
Static analysis of finite precision computations
inferredcites →https://doi.org/10.5860/choice.34-0981openalex-snapshot
Accuracy and stability of numerical algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4797965openalex-extracted
Symbolic Testing of Floating-Point Bugs
inferred← citeshttps://doi.org/10.1007/978-3-030-72013-1_3openalex-snapshot
A Two-Phase Approach for Conditional Floating-Point Verification
inferred← citeshttps://doi.org/10.1007/978-3-032-30693-7_12openalex-snapshot
RealSanitizer: Detecting Floating-Point Errors via a Dynamic Precision Oracle
inferred← citeshttps://doi.org/10.1007/s11227-023-05523-6openalex-snapshot
Hierarchical search algorithm for error detection in floating-point arithmetic expressions
inferred← citeshttps://doi.org/10.1007/s42514-025-00214-5openalex-snapshot
An empirical study of error-free transformations for enhancing mathematical function precision
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112226openalex-snapshot
Symbolic testing of floating-point bugs and exceptions
inferred← citeshttps://doi.org/10.1049/2023/6681267openalex-snapshot
Detecting Floating‐Point Expression Errors Based Improved PSO Algorithm
inferred← citeshttps://doi.org/10.1109/access.2025.3557505openalex-snapshot
An Effective Genetic Algorithm for Mixed Precision
inferred← citeshttps://doi.org/10.1109/apsec57359.2022.00046openalex-snapshot
NuMFUZZ: A Floating-Point Format Aware Fuzzer for Numerical Programs
inferred← citeshttps://doi.org/10.1109/apsec57359.2022.00052openalex-snapshot
Detecting High Floating-Point Errors via Ranking Analysis
inferred← citeshttps://doi.org/10.1109/apsec60848.2023.00043openalex-snapshot
AMPT: Automatic Mixed-Precision Tuning Based on Accuracy Gain
inferred← citeshttps://doi.org/10.1109/arith51176.2021.00014openalex-snapshot
Tagged error: tracing numerical error through computations
inferred← citeshttps://doi.org/10.1109/arith64983.2025.00025openalex-snapshot
Mixing Condition Numbers and Oracles for Accurate Floating-point Debugging
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/ase63991.2025.00016openalex-snapshot
When AllClose Fails: Round-Off Error Estimation for Deep Learning Programs
inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00113openalex-snapshot
Fine-Grained Global Search for Inputs Triggering Floating-Point Exceptions in Gpu Programs
inferred← citeshttps://doi.org/10.1109/jcc72984.2026.00064openalex-snapshot
SNIPER: Structural Navigation via Intelligent Policy for Floating-Point Error Revelation
inferred← citeshttps://doi.org/10.1109/qrs65678.2025.00047openalex-snapshot
Scalable Detection of Floating-Point Errors via Adaptive Parallel Subdomain Search
inferred← citeshttps://doi.org/10.1109/saner56733.2023.00030openalex-snapshot
Efficient Generation of Floating-Point Inputs for Compiler-Induced Variability
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00027openalex-snapshot
Towards Verifying Exact Conditions for Implementations of Density Functional Approximations
inferred← citeshttps://doi.org/10.1109/tr.2024.3492380openalex-snapshot
What Causes Bugs in Numerical Simulation Software? An Empirical Study
inferred← citeshttps://doi.org/10.1109/tse.2026.3703362openalex-snapshot
ICE: Reducing Search Space for Error-Inducing Input Detection
inferred← citeshttps://doi.org/10.1145/3395363.3397382openalex-snapshot
Testing high performance numerical simulation programs: experience, lessons learned, and open issues
inferred← citeshttps://doi.org/10.1145/3434310openalex-snapshot
An approach to generate correctly rounded math libraries for new floating point variants
inferred← citeshttps://doi.org/10.1145/3453483.3454049openalex-snapshot
High performance correctly rounded math libraries for 32-bit floating point representations
inferred← citeshttps://doi.org/10.1145/3460319.3464808openalex-snapshot
Interval constraint-based mutation testing of numerical specifications
inferred← citeshttps://doi.org/10.1145/3468264.3468585openalex-snapshot
Parallel shadow execution to accelerate the debugging of numerical errors
inferred← citeshttps://doi.org/10.1145/3498664openalex-snapshot
One polynomial approximation to produce correctly rounded results of an elementary function for multiple representations and rounding modes
inferred← citeshttps://doi.org/10.1145/3563322openalex-snapshot
Oracle-free repair synthesis for floating-point programs
inferred← citeshttps://doi.org/10.1145/3563353openalex-snapshot
Fast shadow execution for debugging numerical errors using error free transformations
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/10.1145/3689764openalex-snapshot
FPCC: Detecting Floating-Point Errors via Chain Conditions
inferred← citeshttps://doi.org/10.1145/3728950openalex-snapshot
An Investigation on Numerical Bugs in GPU Programs Towards Automated Bug Detection
inferred← citeshttps://doi.org/10.1145/3729332openalex-snapshot
Correctly Rounded Math Libraries without Worrying about the Application’s Rounding Mode
inferred← citeshttps://doi.org/10.1145/3763137openalex-snapshot
Cost of Soundness in Mixed-Precision Tuning
inferred← citeshttps://doi.org/10.1145/3773992openalex-snapshot
A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations
inferred← citeshttps://doi.org/10.1145/3832291openalex-snapshot
Mathematically-Guided Detection of Floating-Point Errors
inferred← citeshttps://doi.org/10.2514/6.2026-2518openalex-snapshot
Hardware-Agnostic Compact Difference Schemes in C++/Kokkos for High-Order CFD
inferred← citeshttps://doi.org/10.48550/arxiv.2108.06756openalex-snapshot
RLIBM-ALL: A Novel Polynomial Approximation Method to Produce Correctly Rounded Results for Multiple Representations and Rounding Modes
inferred← citeshttps://doi.org/10.48550/arxiv.2111.12852openalex-snapshot
RLIBM-PROG: Progressive Polynomial Approximations for Fast Correctly Rounded Math Libraries
inferred← citeshttps://doi.org/10.70675/51b1c8b1zd4c6z440dz8a74z0de4062a90b2openalex-snapshot
Gestion du compromis entre la performance et la précision de code de calcul
inferred← citeshttps://doi.org/10.70675/56469ad9zdcddz4491z93eez3cf5ab6ee35fopenalex-snapshot
Analyse des erreurs d’arrondi sur les nombres à virgule flottante par programmation par contraintes
inferred← citeshttps://doi.org/10.70675/8cf8b26fz5603z4b78za4b9zd8171c8b983aopenalex-snapshot
Arithmétiques relationnelles pour l'analyse par interprétation abstraite de propriétés de précision numérique
inferred← citeshttps://doi.org/10.7282/t3-z898-ft43openalex-snapshot
A novel approach to generate correctly rounded math libraries for new floating point representations
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