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Designing Bit-Reproducible Portable High-Performance Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0167-8191(97)00106-3openalex-snapshot
Implementation and performance of a parallel version of the HIRLAM limited area atmospheric model
inferredcites →https://doi.org/10.1023/b:numa.0000049482.38935.0bopenalex-snapshot
Proposal for a Standardization of Mathematical Function Implementation in Floating-Point Arithmetic
inferredcites →https://doi.org/10.1088/0034-4885/63/2/201openalex-snapshot
Predicting uncertainty in forecasts of weather and climate
inferredcites →https://doi.org/10.1109/arith.2001.930110openalex-snapshot
Worst cases for correct rounding of the elementary functions in double precision
inferredcites →https://doi.org/10.1109/arith.2013.43openalex-snapshot
Numerical Reproducibility and Accuracy at ExaScale
inferredcites →https://doi.org/10.1109/arith.2013.9openalex-snapshot
Fast Reproducible Floating-Point Summation
inferredcites →https://doi.org/10.1109/tc.2014.2345391openalex-snapshot
Parallel Reproducible Summation
inferredcites →https://doi.org/10.1111/j.2153-3490.1969.tb00444.xopenalex-snapshot
The predictability of a flow which possesses many scales of motion
inferredcites →https://doi.org/10.1145/103162.103163openalex-snapshot
What every computer scientist should know about floating-point arithmetic
inferredcites →https://doi.org/10.1145/1639949.1640097openalex-snapshot
A type and effect system for deterministic parallel Java
inferredcites →https://doi.org/10.1145/2145816.2145840openalex-snapshot
Internally deterministic parallel algorithms can be fast
inferredcites →https://doi.org/10.1145/2145816.2145841openalex-snapshot
Deterministic parallel random-number generation for dynamic-multithreading platforms
inferredcites →https://doi.org/10.1145/2370036.2145841openalex-snapshot
Deterministic parallel random-number generation for dynamic-multithreading platforms
inferredcites →https://doi.org/10.1175/jas3824.1openalex-snapshot
Time Step Sensitivity of Nonlinear Atmospheric Models: Numerical Convergence, Truncation Error Growth, and Ensemble Design
inferredcites →https://doi.org/10.1184/r1/6625115openalex-snapshot
Parallel Programming Must Be Deterministic by Default
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-30442-2_4openalex-snapshot
Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors
inferred← citeshttps://doi.org/10.1016/j.parco.2015.09.001openalex-snapshot
Numerical reproducibility for the parallel reduction on multi- and many-core architectures
inferred← citeshttps://doi.org/10.1038/s41598-025-03092-7openalex-snapshot
Evaluating statistical consistency for the ocean component of earth system models using physics informed convolutional autoencoder
inferred← citeshttps://doi.org/10.1093/bioinformatics/btag044openalex-snapshot
Bit-reproducible parallel phylogenetic tree inference
inferred← citeshttps://doi.org/10.1098/rsta.2020.0069openalex-snapshot
Learning from reproducing computational results: introducing three principles and the Reproduction Package
inferred← citeshttps://doi.org/10.1101/2025.06.02.656320openalex-snapshot
Bit-Reproducible Phylogenetic Tree Inference under Varying Core-Counts via Reproducible Parallel Reduction Operators
inferred← citeshttps://doi.org/10.1109/arith.2018.8464813openalex-snapshot
Augmented Arithmetic Operations Proposed for IEEE-754 2018
inferred← citeshttps://doi.org/10.1109/correctness51934.2020.00011openalex-snapshot
A Statistical Analysis of Error in MPI Reduction Operations
inferred← citeshttps://doi.org/10.1109/icde.2018.00098openalex-snapshot
Reproducible Floating-Point Aggregation in RDBMSs
inferred← citeshttps://doi.org/10.1109/ipdps.2019.00071openalex-snapshot
SimFS: A Simulation Data Virtualizing File System Interface
inferred← citeshttps://doi.org/10.1109/mc.2022.3152681openalex-snapshot
Benchmarking Data Science: 12 Ways to Lie With Statistics and Performance on Parallel Computers
inferred← citeshttps://doi.org/10.1109/mc.2025.3616048openalex-snapshot
In-Network Collective Operations: Game Changer or Challenge for AI Workloads?
inferred← citeshttps://doi.org/10.1145/3307681.3325960openalex-snapshot
Multi-Level Analysis of Compiler-Induced Variability and Performance Tradeoffs
inferred← citeshttps://doi.org/10.1175/bams-d-18-0167.1openalex-snapshot
Kilometer-Scale Climate Models: Prospects and Challenges
inferred← citeshttps://doi.org/10.1177/1094342017704893openalex-snapshot
The future of scientific workflows
inferred← citeshttps://doi.org/10.1177/1094342019832968openalex-snapshot
Hierarchical approach for deriving a reproducible unblocked LU factorization
inferred← citeshttps://doi.org/10.2514/6.2017-4411openalex-snapshot
Computational Performance of a LES Solver for Supersonic Jet Flow Applications
inferred← citeshttps://doi.org/10.3390/app14020639openalex-snapshot
Enabling Bitwise Reproducibility for the Unstructured Computational Motif
inferred← citeshttps://doi.org/10.5194/gmd-15-6695-2022openalex-snapshot
Characterizing uncertainties of Earth system modeling with heterogeneous many-core architecture computing
inferred← citeshttps://doi.org/10.5194/gmd-2024-10openalex-snapshot
A Deep Learning-Based Consistency Test Approach for Earth System Models on Heterogeneous Many-Core Systems
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