Cover Image

Enhancing ZFP: A Statistical Approach to Understanding and Reducing Error Bias in a Lossy Floating-Point Compression Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fox, Alyson, Lindstrom, Peter
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Error Analysis of ZFP Compression for Floating-Point Data
by: Diffenderfer, James, et al.
Published: (2018)

Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods
by: Fox, Alyson, et al.
Published: (2020)

Effective Quadratic Error Bounds for Floating-Point Algorithms Computing the Hypotenuse Function
by: Muller, Jean-Michel, et al.
Published: (2024)

Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8
by: Luszczek, Piotr, et al.
Published: (2025)

A hybrid finite element/finite difference method for reconstruction of dielectric properties of conductive objects
by: Lindström, Eric, et al.
Published: (2024)

Automatic Verification of Floating-Point Accumulation Networks
by: Zhang, David K., et al.
Published: (2025)

Accurate Residues for Floating-Point Debugging
by: He, Yumeng, et al.
Published: (2026)

On the Structure of Floating-Point Noise in Batch-Invariant GPU Matrix Multiplication
by: Yashwanth, Tadisetty Sai
Published: (2025)

Statistical Rounding Error Analysis for Random Matrix Computations
by: Fang, Yiming, et al.
Published: (2024)

Multiscale Approximation as a Bias-Reducing Strategy with Applications to Manifold-Valued Functions
by: Abas, Asaf, et al.
Published: (2025)

A Regeneration-based a Posteriori Error Bound for a Markov Chain Stationary Distribution Truncation Algorithm
by: Glynn, Peter W., et al.
Published: (2025)

A Priori Error Bounds for the Approximate Deconvolution Leray Reduced Order Model
by: Moore, Ian, et al.
Published: (2024)

Wave number-Explicit Analysis for Galerkin Discretizations of Lossy Helmholtz Problems
by: Melenk, Jens M., et al.
Published: (2019)

Satire: Computing Rigorous Bounds for Floating-Point Rounding Error in Mixed-Precision Loop-Free Programs
by: Tirpankar, Tanmay, et al.
Published: (2025)

Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems
by: Poot, Anne, et al.
Published: (2025)

Asymptotic Error Bounds and Fractional-Bit Design for Fixed-Point Grover's Quantum Algorithm Emulation
by: Choi, Seonghyun, et al.
Published: (2025)

Revealing Floating-Point Accumulation Orders in Software/Hardware Implementations
by: Xie, Peichen, et al.
Published: (2024)

A Bayesian Approach to Modeling Finite Element Discretization Error
by: Poot, Anne, et al.
Published: (2023)

A Stochastic Algorithm for Searching Saddle Points with Convergence Guarantee
by: Shi, Baoming, et al.
Published: (2025)

Reduced digital nets
by: Anupindi, Vishnupriya, et al.
Published: (2025)

Reducing Training Complexity in Empirical Quadrature-Based Model Reduction via Structured Compression
by: Liljegren-Sailer, Björn
Published: (2025)

Mixing Condition Numbers and Oracles for Accurate Floating-point Debugging
by: Kulkarni, Bhargav, et al.
Published: (2025)

Modified Levenberg-Marquardt Algorithm For Tensor CP Decomposition in Image Compression
by: Karim, Ramin Goudarzi, et al.
Published: (2024)

Modifying the Asynchronous Jacobi Method for Data Corruption Resilience
by: Vogl, Christopher J., et al.
Published: (2022)

Detailed Error Analysis of the HHL Algorithm
by: Phillips, Xinbo Li Christopher
Published: (2024)

An Adaptive CUR Algorithm and its Application to Reduced-Order Modeling of Random PDEs
by: Palkar, Grishma, et al.
Published: (2025)

IEnSF: Iterative Ensemble Score Filter for Reducing Error in Posterior Score Estimation in Nonlinear Data Assimilation
by: Zhang, Zezhong, et al.
Published: (2025)

Probabilistic Error Analysis of Limited-Precision Stochastic Rounding: Horner's Algorithm and Pairwise Summation
by: Arar, El-Mehdi El, et al.
Published: (2026)

Multi-Physics Model Bias Correction with Data-Driven Reduced Order Modelling Techniques: Application to Nuclear Case Studies
by: Riva, Stefano, et al.
Published: (2024)

A New Adaptive Deep Learning based Reduced Order Model for Hybrid-Type Parabolic PDEs: Rigorous Error Analysis and Applications
by: Kotowski, Dawid, et al.
Published: (2026)

Probabilistic Floating-Point Round-Off Analysis via Concentration Inequalities
by: Tao, Yichen, et al.
Published: (2026)

Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression
by: Mango, John, et al.
Published: (2024)

New Developments in Interval Arithmetic and Their Implications for Floating-Point Standardization
by: van Emden, M. H.
Published: (2002)

Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators
by: Subedi, Unique, et al.
Published: (2024)

Enhanced Error Bounds For The Masked Projection Techniques via Cosine-Sine Decomposition
by: Tripathi, Brij Nandan, et al.
Published: (2025)

Hyb Error: A Hybrid Metric Combining Absolute and Relative Errors
by: Xie, Peichen
Published: (2024)

Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics
by: Hoekstra, Rik, et al.
Published: (2024)

Concatenated Matrix SVD: Compression Bounds, Incremental Approximation, and Error-Constrained Clustering
by: Shamrai, Maksym
Published: (2026)

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods
by: Ivagnes, Anna, et al.
Published: (2024)

NETT Regularization for Compressed Sensing Photoacoustic Tomography
by: Antholzer, Stephan, et al.
Published: (2019)