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oe1cxw's profile
Claire Xen 🏳️‍⚧️🏳️‍🌈🧙🏻‍♀️ BLM 🏴🚩
Claire Xen 🏳️‍⚧️🏳️‍🌈🧙🏻‍♀️ BLM 🏴🚩
Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩
@oe1cxw

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Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩

@oe1cxw

Neurodiverse trans geek girl. Yosys, RISC-V, SAT/SMT.

She/her/hers
clairexen.net
Joined September 2014

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    1. Geoff Langdale‏ @geofflangdale 16 Oct 2019
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      Any of all y'all SMT weirdos have experience with Z3 vs Yices vs Boolector? Just closing in on adding Boolector as an option to my superoptimizer after having worked with Z3 on the first prototype (Python) and Yices for the second (C++). Being sensible this time and making ...

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    2. Geoff Langdale‏ @geofflangdale 16 Oct 2019
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      a nice API boundary that allows different solvers to be swapped in. Note that I'm not outputting SMTLIB2, instead using libraries' native interface. Maybe a mistake, but I am nervous about introducing a text parse to my performance pathway when I have gazillions of quick solves.

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    3. Geoff Langdale‏ @geofflangdale 16 Oct 2019
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      So far my experience is Yices >> Z3 as far as QF_BV is concerned, although my Z3 prototype used a lot of stuff I didn't really need (integers and arrays). I'll give Z3 a shot in the new framework, but I really built it to use Boolector, which sounds like the bee's knees.

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    4. Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩‏ @oe1cxw 16 Oct 2019
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      Replying to @geofflangdale

      In my experience Yices >> Z3 and Boolector >> Z3. Yices vs Boolector is a bit more difficult. I'd say Boolector has the better SAT engine but Yices has better theories. For most pure QF_BV my expectation would be that Boolector performs slightly better.

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    5. Geoff Langdale‏ @geofflangdale 16 Oct 2019
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      Replying to @oe1cxw

      Crossing my fingers for more than slightly... Maybe SMTCOMP19 isn't the Final Word on things but it looks a good deal like Boolector did considerably better on QF_BV - and the most competitive Yices results seem to have had a bit of tweaking in terms of what SAT was used.

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      Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩‏ @oe1cxw 16 Oct 2019
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      Replying to @geofflangdale

      Are you running incremental queries or single-shot? My expectation is that for single shot QF_BV queries Boolector > Yices and for incremental problems its maybe about even, depending on the details of the SMT problem.

      11:12 PM - 16 Oct 2019
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        2. Geoff Langdale‏ @geofflangdale 16 Oct 2019
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          Replying to @oe1cxw

          That's fuzzy.... [ side note - for incremental, I'm forming the same opinion looking at SMTCOMP19's QF_BV results (which show them level pegging). I don't know the significance of the fact that Boolector does way better on the 'challenge' cases than Yices on incremental ]

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        3. Geoff Langdale‏ @geofflangdale 16 Oct 2019
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          Replying to @geofflangdale @oe1cxw

          Fuzzy in that I can set up my problems to be generally prone to unsat out very quickly if I throw in more examples, and I evaluate hundreds of thousands of problems with most expected to reach unsat.

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