Research

Compiler research. Engineering results.

The technical decisions behind Evo: how we search for optimizations, prove that behavior is identical, and measure performance on real workloads.

  • 01

    Thesis

    The performance is already in the machine

    The industry is spending hundreds of billions on new compute while leaving performance inside the hardware it already owns. What the published evidence says, what one small change did on an ESP32-S3, and why agents need a loop before they can do performance engineering.

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  • 02

    System design

    Evo: automating performance engineering

    Inside the system we are building: two kinds of optimization search, independent checks and measurements, and an early liblc3 decoder experiment, including the upstream feedback that a win on one machine is not a win on every machine.

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