meshtaichi | MeshTaichi: A Compiler for Efficient Mesh-based Operations (SIGGRAPH Asia 2022)

meshtaichi is a Python library. meshtaichi has no bugs, it has no vulnerabilities and it has low support. However meshtaichi build file is not available. You can download it from GitHub.

The MeshTaichi framework is now officially part of Taichi. This repo only contains examples. A mesh compiler that provides an intuitive programming model for efficient mesh-based operations. Meshes are an indispensable representation in many graphics applications because they provide conformal spatial discretizations. However, mesh-based operations are often slow due to unstructured memory access patterns. We propose MeshTaichi, a novel mesh compiler that provides an intuitive programming model for efficient mesh-based operations. Our programming model hides the complex indexing system from users and allows users to write mesh-based operations using reference-style neighborhood queries. Our compiler achieves its high performance by exploiting data locality. We partition input meshes and prepare the wanted relations by inspecting users’ code during compile time. During run time, we further utilize on-chip memory (shared memory on GPU and L1 cache on CPU) to access the wanted attributes of mesh elements efficiently. Our compiler decouples low-level optimization options with computations, so that users can explore different localized data attributes and different memory orderings without changing their computation code. As a result, users can write concise code using our programming model to generate efficient mesh-based computations on both CPU and GPU backends.