Papers

• A. Fox, P. Lindstrom, "Statistical Analysis of ZFP: Understanding Bias," LLNL-JRNL-858256, Lawrence Livermore National Laboratory, July 2024, in review.  arXiv:2407.01826.
• P. Lindstrom, J. Hittinger, J. Diffenderfer, A. Fox, D. Osei-Kuffuor, J. Banks, "ZFP: A Compressed Array Representation for Numerical Computations", International Journal of High Performance Computing Applications, July 2024, to appear.
• D. Hoang, H. Bhatia, P. Lindstrom, V. Pascucci, "Progressive Tree-Based Compression of Large-Scale Particle Data,"IEEE Transactions on Visualization and Computer Graphics, 30(7):4321-4338, July 2024. doi:10.1109/TVCG.2023.3260628.
• V. Magri, P. Lindstrom, "A General Framework for Progressive Data Compression and Retrieval,"IEEE Transactions on Visualization and Computer Graphics, 30(1):1358-1368, January 2024. doi:10.1109/TVCG.2023.3327186.
• S. Li, P. Lindstrom, J. Clyne, "Lossy Scientific Data Compression with SPERR,"IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023), pp. 1007-1017, May 2023. doi:10.1109/IPDPS54959.2023.00104.
• M. Barrow, Z. Wu, S. Lloyd, M. Gokhale, H. Patel, P. Lindstrom, "ZHW: A Numerical CODEC for Big Data Scientific Computation,"International Conference on Field Programmable Technology (FPT 2022), pp. 1-9, December 2022. doi:10.1109/ICFPT56656.2022.9974258.
• D. Hoang, H. Bhatia, P. Lindstrom, V. Pascucci, "High-Quality and Low-Memory-Footprint Progressive Decoding of Large-Scale Particle Data," 11th IEEE Symposium on Large Data Analysis and Visualization, pp. 32-42, October 2021. doi:10.1109/LDAV53230.2021.00011.
• D. Hoang, B. Summa, P. Klacansky, W. Usher, H. Bhatia, P. Lindstrom, P.-T. Bremer, V. Pascucci, "Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution," IEEE Transactions on Visualization and Computer Graphics, 27(2):603-613, February 2021. doi:10.1109/TVCG.2020.3030381.
• A. Fox, J. Diffenderfer, J. Hittinger, G. Sanders, and P. Lindstrom, "Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods," SIAM Journal on Scientific Computing, 42(5):A2701-A2730, September 2020. doi:10.1137/19M126904X.
• R. Ballester-Ripoll, P. Lindstrom, and R. Pajarola, "TTHRESH: Tensor Compression for Multidimensional Visual Data," IEEE Transactions on Visualization and Computer Graphics, 26(9):2891-2093, September 2020. doi:10.1109/TVCG.2019.2904063.
• L. Noordsij, S. van der Vlugt, M. Bamakhrama, Z. Al-Ars, and P. Lindstrom, "Parallelization of Variable Rate Decompression through Metadata," 28th Euromicro International Conference on Parallel, Distributed and Network-based Processing, pp. 245-252, March 2020. doi:10.1109/PDP50117.2020.00045.
• D. Hammerling, A. Baker, A. Pinard, and P. Lindstrom, "A Collaborative Effort to Improve Lossy Compression Methods for Climate Data," 5th International Workshop on Data Analysis and Reduction for Big Scientific Data, pp. 16-22, November 2019. doi:10.1109/DRBSD-549595.2019.00008.
• J. Diffenderfer, A. Fox, J. Hittinger, G. Sanders, and P. Lindstrom, "Error Analysis of ZFP Compression for Floating-Point Data," SIAM Journal on Scientific Computing, 41(3):A1867-A1898, 2019. doi:10.1137/18M1168832.
• P. Lindstrom, "Error Distributions of Lossy Floating-Point Compressors," Joint Statistical Meetings 2017, pp. 2574-2589, October 2017.
• S. Hamilton, R. Burns, C. Meneveau, P. Johnson, P. Lindstrom, J. Patchett, and A. Szalay. "Extreme Event Analysis in Next Generation Simulation Architectures," ISC High Performance 2017, pp. 277-293, June 2017. doi:10.1007/978-3-319-58667-0_15.
• A. Baker, D. Hammerling, S. Mickleson, H. Xu, M. Stolpe, P. Naveau, B. Sanderson, I. Ebert-Uphoff, S. Samarasinghe, F. De Simone, F. Carbone, C. Gencarelli, J. Dennis, J. Kay, and P. Lindstrom, "Evaluating Lossy Data Compression on Climate Simulation Data within a Large Ensemble," Geoscientific Model Development, 9(12):4381-4403, December 2016. doi:10.5194/gmd-9-4381-2016.
• P. Lindstrom, P. Chen, and E.-J. Lee, "Reducing Disk Storage of Full-3D Seismic Waveform Tomography (F3DT) Through Lossy Online Compression," Computers & Geosciences, 93:45-54, August 2016. doi:10.1016/j.cageo.2016.04.009.
• P. Lindstrom, "Fixed-Rate Compressed Floating-Point Arrays," IEEE Transactions on Visualization and Computer Graphics, Proceedings of Visualization 2014, 20(12):2674-2683, December 2014. doi:10.1109/TVCG.2014.2346458.
• D. Laney, S. Langer, C. Weber, P. Lindstrom, and A. Wegener, "Assessing the Effects of Data Compression in Simulations Using Physically Motivated Metrics," ACM/IEEE SC 2013, pp. 76:1-12, November 2013. doi:10.1145/2503210.2503283.
• L. Ibarria, P. Lindstrom, and J. Rossignac, "Spectral Interpolation on 3 × 3 Stencils for Prediction and Compression," Journal of Computers, 2(8):53-63, October 2007. doi:10.4304/jcp.2.8.53-63.
• L. Ibarria, P. Lindstrom, and J. Rossignac, "Spectral Predictors," IEEE Data Compression Conference 2007, pp. 163-172, March 2007. doi:10.1109/DCC.2007.72.
• P. Lindstrom and M. Isenburg, "Fast and Efficient Compression of Floating-Point Data," IEEE Transactions on Visualization and Computer Graphics, Proceedings of Visualization 2006, 12(5):1245-1250, September-October 2006. doi:10.1109/TVCG.2006.143.
• M. Isenburg, P. Lindstrom, and J. Snoeyink, "Lossless Compression of Predicted Floating-Point Geometry," Computer-Aided Design, 37(8):869-877, July 2005. doi:10.1016/j.cad.2004.09.015.
• M. Isenburg, P. Lindstrom, and J. Snoeyink, "Lossless Compression of Floating-Point Geometry," CAD 2004, May 2004. doi:10.1080/16864360.2004.10738292.
• L. Ibarria, P. Lindstrom, J. Rossignac, and A. Szymczak, "Out-of-Core Compression and Decompression of Large n-Dimensional Scalar Fields," Computer Graphics Forum, Proceedings of Eurographics 2003, 22(3):343-348, September 2003. doi:10.1111/1467-8659.00681.

Presentations

• P. Lindstrom, "ZFP: Compressed Floating-Point Arrays for High-Performance Computing," CRNCH Summit, February 2022.
• P. Lindstrom, "ZFP: Compressed Floating-Point Arrays for Exascale Computing," ISC High Performance, June 2019.
• P. Lindstrom, "Alternatives to IEEE: NextGen Number Formats for Scientific Computing," IPAM Science at Extreme Scales Workshop, October 2018.
• P. Lindstrom, "Lossy Compression Algorithms for Floating-Point Data," Joint Statistical Meetings, July 2017.
• P. Lindstrom, "Reducing Data Movement using Adaptive-Rate Computing," LLNL Computation External Review Committee, April 2017.
• P. Lindstrom, "Compressed Floating-Point Arrays for High-Performance Computing," SIAM Conference on Imaging Science, May 2016.
• P. Lindstrom, "Fixed-Rate Compressed Floating-Point Arrays (video)," IEEE VIS, October 2014.