Guiding a Compiler for a VLIW-like Backend
You are optimizing hot loops for a VLIW-like target (e.g., DSP/AI accelerator) where the compiler sometimes mis-schedules or over-optimizes. Describe a pragmatic workflow for:
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Guiding the compiler using:
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Pragmas/directives (e.g., unroll, vectorize, pipeline, ivdep).
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Intrinsics and builtins (vector ops, prefetch, assumes/alignment hints).
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Type/qualifier hints (restrict, const, alignment attributes).
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Compiler flags and function attributes (optimization levels, math/aliasing flags, inlining, target features).
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When to escalate to manual transformations:
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Manual loop unrolling.
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Software pipelining (modulo scheduling by hand or directives).
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Inline assembly for specific instructions or scheduling control.
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How to measure impact safely and repeatably:
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Preventing dead-code elimination, warming up, pinning, perf counters.
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Disassembly and compiler optimization reports.
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Guardrails to ensure correctness while changing flags/annotations.
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Risks and mitigations:
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Undefined behavior, strict aliasing violations, alignment and math semantics.
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Portability across compilers/architectures.
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Debuggability and long-term maintainability.
State concrete tactics, trade-offs, and validation steps. Illustrate with a simple loop example if helpful.