Systematic study of direct and iterative triangular matrix inversion algorithms for Delta-Rule linear transformers, with focus on numerical stability, hardware efficiency, and benchmarks showing 4.3x NPU speedup over SGLang.
A computational model for tensor core units
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Fast and Stable Triangular Inversion for Delta-Rule Linear Transformers
Systematic study of direct and iterative triangular matrix inversion algorithms for Delta-Rule linear transformers, with focus on numerical stability, hardware efficiency, and benchmarks showing 4.3x NPU speedup over SGLang.