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fix: Haskell OOM across datasets - #178
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Rather cap relative to available memory so runs work in x-large env.
…16 RTS flags, timeq eventlog markers Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01KqVhiZ2cts6q2oS2mZkojp
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01KqVhiZ2cts6q2oS2mZkojp
…deepseq-forces full results; microbench harness Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01KqVhiZ2cts6q2oS2mZkojp
…ia show (matches official print cost) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01KqVhiZ2cts6q2oS2mZkojp
mchav
marked this pull request as draft
August 21, 2026 03:32
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@Tmonster worked exclusively from an AWS box to make sure I could exactly replicate the join issue on a 32GB machine. Discovered some issues along the way so going to cut a release and update this PR when done. Thanks so much. |
mchav
marked this pull request as ready for review
August 29, 2026 21:03
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@Tmonster made sure these run on the instance and removed the join for now. |
mchav
changed the title
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Rather cap relative to available memory so runs work in x-large env.