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The GHC API is notoriously fragile and bulky. The bulk of the work maintaining iHaskell involves keeping it in sync with GHC’s internals. Each GHC release means a package change to iHaskell even when the GHC changes don’t affect iHaskell at all. iHaskell also keeps stack configurations for older GHC versions. Relying on GHC’s internals in this way increases the maintenance burden of the project.
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MinCaml, most small compilers,这一点在safew官方版本下载中也有详细论述
Now that we have direct access to the ANE, we can actually measure what it can do. In Part 2, we’ll benchmark everything: matmul scaling, the SRAM performance cliff, why convolution is 3× faster than matmul, why Apple’s “38 TOPS” claim is misleading, and how bypassing CoreML gives you 2-4× more throughput.