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The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data structures, thus being far from well-suited for GPUs. In this paper, we describe optimizations that enable us to implement compression and decompression, the crucial sparse grid algorithms for our application, on Nvidia GPUs. The main idea consists of a bijective mapping between the set of points in adoi:10.1145/1941553.1941559 dblp:conf/ppopp/MurarasuWBBP11 fatcat:voszcfoqqjflxamcrzhz5byoee