## Papers

- 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.