  We describe MGARD, a software providing MultiGrid Adaptive Reduction for
floating-point scientific data on structured and unstructured grids. With
exceptional data compression capability and precise error control, MGARD
addresses a wide range of requirements, including storage reduction,
high-performance I/O, and in-situ data analysis. It features a unified
application programming interface (API) that seamlessly operates across diverse
computing architectures. MGARD has been optimized with highly-tuned GPU kernels
and efficient memory and device management mechanisms, ensuring scalable and
rapid operations.
