[NetKAT] Add scale benchmark with realistically large inputs#103
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[NetKAT] Add scale benchmark with realistically large inputs#103smolkaj wants to merge 1 commit into
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The existing benchmarks compile small fixed policies, so they mostly measure constant overheads and cannot detect asymptotic problems (or improvements) in the backend. This benchmark compiles inputs modeled on real networking workloads - wide forwarding tables, multi-field ACLs, and ring-network reachability via Iterate - parameterized by size, so scaling behavior is visible directly in the output. It immediately demonstrates its value: forwarding table compilation scales super-quadratically at head (8x entries -> 66-100x time; 4096 entries take 3.5 seconds), quantifying the known lack of operation memoization (b/382379263) and giving future optimizations a measurable target. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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What
A benchmark that compiles realistically large NetKAT models, complementing the existing micro-benchmarks (which compile small fixed policies and thus mostly measure constant overheads). Three families, modeled on real networking workloads and parameterized by size so scaling behavior is directly visible:
permitted && !deniedvariant exercisingNot/Andon large sets.Iterateto a fixed point: the workload at the heart of symbolic network verification.Why
Performance work on the backend (#100, #102, #98, #99, and the planned memoization work) needs an instrument that can detect asymptotic effects, not just constant factors. This benchmark immediately earns its keep — at head:
The super-quadratic forwarding-table and reachability scaling quantifies the cost of the known missing operation memoization (b/382379263) and gives that work a measurable target.
Testing
bazel build -c opt //netkat:scale_benchmarkand a full run on head, #100, and #102 (results posted on those PRs).🤖 Generated with Claude Code