Prism: Symbolic Superoptimization of Tensor Programs
This paper presents Prism, the first symbolic superoptimizer for tensor programs. The key idea is sGraph, a symbolic, hierarchical representation that compactly encodes large classes of tensor programs by symbolically representing some execution parameters. Prism organizes optimization as a two-level search: it constructs symbolic graphs that represent families of programs, and then instantiates them into concrete implementations. This formulation enables structured pruning of provably suboptimal regions of the search space using symbolic reasoning over operator semantics, algebraic identities, and hardware constraints. We develop techniques for efficient symbolic graph generation, equiva...
| Authors | Mengdi Wu, Xiaoyu Jiang, Oded Padon et al. |
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| Primary category | cs.PL |
| Published | 16 April 2026 |
| Last updated at source | 16 April 2026 |
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