# Datasets for Benchmarking Floating-Point Compressors

arXiv: https://arxiv.org/abs/2011.02849 · HTML: https://mlsanity.com/paper/2011.02849/

## Key facts

- Cited by 1 papers in the map (data through 7 Oct 2026).
- First posted on arXiv 5 Nov 2020.

## Built on by (most cited first, 1 of 1)

- [Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended](https://mlsanity.com/paper/2605.30728/) (2026)

## Abstract (arXiv)

Compression of floating-point data, both lossy and lossless, is a topic of increasing interest in scientific computing. Developing and evaluating suitable compression algorithms requires representative samples of data from real-world applications. We present a collection of publicly accessible sources for volume and time series data as well as a list of concrete datasets that form an adequate basis for compressor benchmarking.