DaCe AD automatically differentiates scientific Python and Fortran code through an SDFG intermediate representation, beating JAX JIT across NPBench with a 4.1x geometric mean speedup.
30 years of adaptive neural networks: perceptron, madaline, and backpropagation,
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DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing
DaCe AD automatically differentiates scientific Python and Fortran code through an SDFG intermediate representation, beating JAX JIT across NPBench with a 4.1x geometric mean speedup.