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| From | John R Levine <johnl@taugh.com> |
|---|---|
| Newsgroups | comp.compilers |
| Subject | Generation of Compiler Backends from Formal Models of Hardware |
| Date | 2024-08-30 22:36 -0400 |
| Organization | Compilers Central |
| Message-ID | <24-08-014@comp.compilers> (permalink) |
This thssis has some examples of how you might do that. It sounds swell in theory, but it's far from clear how well it actually works. Abstract: Compilers convert between representations -- usually, from higher-level, human writable code to lower-level, machine-readable code. A compiler backend is the portion of the compiler containing optimizations and code generation routines for a specific hardware target. In this dissertation, I advocate for a specific way of building compiler backends: namely, by automatically generating them from explicit, formal models of hardware using automated reasoning algorithms. I describe how automatically generating compilers from formal models of hardware leads to increased optimization ability, stronger correctness guarantees, and reduced development time for compiler backends. As evidence, I present two case studies: first, Glenside, which uses equality saturation to increase the 3LA compiler's ability to offload operations to machine learning accelerators, and second, Lakeroad, a technology mapper for FPGAs which uses program synthesis and semantics extracted from Verilog to map hardware designs to complex, programmable hardware primitives. Full paper here: https://arxiv.org/abs/2408.15429 Regards, John Levine, johnl@taugh.com, Taughannock Networks, Trumansburg NY Please consider the environment before reading this e-mail. https://jl.ly
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Generation of Compiler Backends from Formal Models of Hardware John R Levine <johnl@taugh.com> - 2024-08-30 22:36 -0400
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