From 2c7606e86602a498997c0d8a29f96f95bbd11f2d Mon Sep 17 00:00:00 2001 From: "Jon.W" Date: Mon, 9 Sep 2019 14:08:20 -0400 Subject: [PATCH] fixed the name of the paper in readme --- data_compression/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data_compression/README.md b/data_compression/README.md index b4a5c0a..7fe9b71 100644 --- a/data_compression/README.md +++ b/data_compression/README.md @@ -5,15 +5,15 @@ ## Scientific Data Compression -* :scroll: [Fast Error-bounded Lossy HPC Data Compression with SZ(SZ-0.1)](https://www.mcs.anl.gov/papers/P5437-1115.pdf) +* :scroll: [Fast Error-bounded Lossy HPC Data Compression with SZ](https://www.mcs.anl.gov/papers/P5437-1115.pdf) >This is the first version of SZ. In this paper, SZ is introduced to achieve data reduction using regression-based data point prediction. -* :scroll: [Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization(SZ-1.4)](https://arxiv.org/pdf/1706.03791.pdf) +* :scroll: [Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization](https://arxiv.org/pdf/1706.03791.pdf) > This work is known as SZ-1.4. In this work, SZ employs multi-dimensional data prediction so that data with dimension larger than 1 is no longer linearized into single dimension before compression. In this way, more data locality is preserved thus compression ratio is improved. - * :scroll: [Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets(SZ-2.0)](https://www.mcs.anl.gov/~hguo/publications/LiangDTLLGCC18.pdf) + * :scroll: [Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets](https://www.mcs.anl.gov/~hguo/publications/LiangDTLLGCC18.pdf) > This work is known as SZ-2.0. In this work, authors proposed an online selection tool between 2 predictors, the mean-integrated Lorenzo predictor and linear regression-based predictor. Users can choose the predictor that yields larger compression ratio with higher prediction accuracy. - * :scroll: [Fixed-Rate Compressed Floating-Point Arrays(ZFP)](http://vis.cs.ucdavis.edu/vis2014papers/TVCG/papers/2674_20tvcg12-lindstrom-2346458.pdf) + * :scroll: [Fixed-Rate Compressed Floating-Point Arrays](http://vis.cs.ucdavis.edu/vis2014papers/TVCG/papers/2674_20tvcg12-lindstrom-2346458.pdf) * :scroll: [FPC: A High-Speed Compressor for Double-Precision Floating-Point Data](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.388.2782&rep=rep1&type=pdf)