In Situ Wavelet Compression on Supercomputers for Post Hoc Exploration

Wavelet compression is a popular approach for reducing data size while maintaining high data integrity. This chapter considers how wavelet compression can be used for data visualization and post hoc exploration on supercomputers. There are three major parts in this chapter. The first part describes the basics of wavelet transforms, which are essential signal transformations in a wavelet compression pipeline, and how their properties can be used for data compression. The second part analyzes the efficacy of wavelet compression on scientific data, with a focus on analyses involving scientific visualizations. The third part evaluates how well wavelet compression fits in an in situ workflow on supercomputers. After reading this chapter, readers should have a high-level understanding of how wavelet compression works, as well as its efficacy for in situ compression and post hoc exploration.