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KernelFaRer: Replacing Native-Code Idioms with High-Performance Library Calls

N-body simulations and trajectory analysis rely on the calculation of attributes that depend on KernelFaRer is a pattern-matching framework that extends LLVM’s PatternMatch to capture code idioms (e.g. GEMM and SY2K) and replace them with calls to high-performance implementations of such idioms. KernelFaRer can replace idioms with calls to CBLAS — a standard interface across popular linear algebra libraries (e.g. MKL, ESSL, OpenBLAS, and BLIS) —, Eigen via a custom runtime, and LLVM IR’s matrix-multiply intrinsics.

https://github.com/jaopaulolc/KernelFaRer

 

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