Warp 1.9.0 introduces a fully differentiable marching cubes implementation written entirely in Warp, CUDA 13 toolkit compatibility, and new ahead-of-time compilation functions. Performance improvements include graph-capturable linear solvers and automatic tiling for sparse linear algebra and finite element quadrature. Programming model enhancements add better indexing for composite types, direct IntEnum support, local array initialization in kernels, and indexed tile operations for flexible memory access patterns.
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New FeaturesCUDA 13 SupportPerformance ImprovementsProgramming Model UpdatesAnnouncementsAcknowledgmentsFull ChangelogSort: