This demo showcases an extension to Z-partitioning (cascaded shadow maps) called Sample Distribution Shadow Maps (SDSMs). SDSMs optimize the placement and size of a fixed number of Z-partitions by analyzing the shadow sample distribution required by the current frame. They build on the advantages of current state of the art techniques, including predictable performance and constant memory usage, while removing tedious and ultimately suboptimal parameter tuning. SDSMs run efficiently on modern graphics hardware and produce significantly higher quality shadows than static Z-partitioning schemes. Furthermore, SDSMs save development time since they avoid the manual placement and maintenance of shadow partitions that is typically required by other Z-partitioning schemes.