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        <title>GPUs for Type Inference and Typeclasses — Win Wang | Scala Summit 2026</title>
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        <description>GPUs for Type Inference and Typeclasses Win Wang — Founder, ParaQuery Recorded live at Scala Summit 2026 in San Francisco on Monday, October 19, 2026. Type inference isn't as serial as we think — scaling typeclass resolution across many cores and onto GPUs. About the talk Everyone knows about LLM inference on GPUs, but what about type inference on GPUs? After all, we love strong types, but hate compile times. Unfortunately, the more we try to prove about our programs, the more time we spend waiting for our builds. Can we throw a GPU at it? Is type inference even that parallelizable? What about for type systems of real languages like Scala, or Rust, etc.? One commonality of these languages is typeclass resolution. Whether it's called implicit resolution or trait resolution, it's a powerful pattern, but can induce particularly long compile times. We've convinced ourselves that type inference is highly serial, but it doesn't have to be. We'll explore how we might scale such type systems to many cores, unlock data-parallelism, and accelerate type inference and resolution on GPUs. About the speaker I previously worked on distributed builds, parallel Scala compilation, and semantic tooling back at Twitter. Currently, I'm the founder of ParaQuery, a fully managed, GPU-accelerated SQL/Spark solution. I still want faster and smarter compilers. LinkedIn: https://www.linkedin.com/in/winwang/, X: https://x.com/winium, GitHub: https://github.com/wiwa, Speaker page: https://2026.scalasummit.com/speakers/win-wang/, More talks and upcoming events: https://www.bayareatechtalks.com Scala Summit is part of Bay Area Tech Talks. Visit it to join our Meetup and Luma groups, find out about upcoming events, and watch more talk recordings. Conference: https://2026.scalasummit.com Recording can also be watched on YouTube https://youtu.be/_Sxx-c_zHhA</description>
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