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UID:pretalx-juliacon-2026-9FCTYW@pretalx.com
DTSTART;TZID=CET:20260811T100000
DTEND;TZID=CET:20260811T130000
DESCRIPTION:Debugging performance and memory issues in Julia often requires
  combining multiple tools and correlating their outputs. Participants will
  learn how to use a runtime-level instrumentation approach to analyze and 
 resolve performance issues in real code\, including cases that are difficu
 lt to diagnose using existing tools.
DTSTAMP:20260502T100436Z
LOCATION:Room 2
SUMMARY:Finding Hidden Performance Costs in Julia - Joost Godschalk\, Yury 
 Nuzhdin\, Tyrone Krieger
URL:https://pretalx.com/juliacon-2026/talk/9FCTYW/
END:VEVENT
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UID:pretalx-juliacon-2026-3AZE7E@pretalx.com
DTSTART;TZID=CET:20260812T103000
DTEND;TZID=CET:20260812T110000
DESCRIPTION:Julia aggressively transforms your code during compilation and 
 execution\, which can make it difficult to see what actually runs. This ca
 n introduce subtle performance and memory costs that are not directly visi
 ble in existing tools. In this talk\, we show a compiler and runtime instr
 umentation approach that provides a runtime-level view of program executio
 n\, links runtime behavior back to source code\, and show how hidden costs
  can be uncovered and performance assumptions validated.
DTSTAMP:20260502T100436Z
LOCATION:Room 1
SUMMARY:Spying into Julia’s Runtime. - Tyrone Krieger\, Yury Nuzhdin\, Jo
 rge Alberto Vieyra Salas
URL:https://pretalx.com/juliacon-2026/talk/3AZE7E/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2026-YNFSLT@pretalx.com
DTSTART;TZID=CET:20260814T103000
DTEND;TZID=CET:20260814T110000
DESCRIPTION:ASML builds the lithography machines that enable the world’s 
 most advanced microchips. For our newest DUV systems\, Julia has become pa
 rt of the control software stack—directly participating in algorithms th
 at influence wafer quality and overall system performance.\n\nAt JuliaCon 
 2025 we shared our early exploration and our intention to use Julia in pro
 duction. One year later\, we are excited to report concrete results: we su
 ccessfully exposed wafers on a prototype machine using a Julia library bui
 lt with juliac/PackageCompiler\, and the performance\, stability\, and dev
 eloper experience were all very promising.\n\nIn this talk\, we will share
  how we designed\, optimized\, and deployed time‑critical Julia code in 
 an environment where algorithms must complete within strict millisecond‑
 level deadlines\, remain predictable\, and integrate with a large\, safety
 ‑critical control system written in multiple languages.\n\nWe will highl
 ight the architecture patterns we adopted\, the trade‑offs we had to mak
 e\, and a collection of “unexpected lessons” from working with Julia i
 n a real industrial setting.
DTSTAMP:20260502T100436Z
LOCATION:Room 5
SUMMARY:How We Made Julia Make Microchips - Yury Nuzhdin\, Jorge Alberto Vi
 eyra Salas
URL:https://pretalx.com/juliacon-2026/talk/YNFSLT/
END:VEVENT
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UID:pretalx-juliacon-2026-QS37VY@pretalx.com
DTSTART;TZID=CET:20260814T154500
DTEND;TZID=CET:20260814T164500
DESCRIPTION:Julia was created by greedy programmers who wanted it all. What
  if we are equally greedy about tooling? This session invites discussion o
 n missing capabilities in Julia’s development tools. What tools or workf
 lows still fall short? Where should future efforts be made to improve prod
 uctivity and insight?
DTSTAMP:20260502T100436Z
LOCATION:Room 6
SUMMARY:Creating Tooling as Greedy as Julia Itself - Tyrone Krieger\, Yury 
 Nuzhdin
URL:https://pretalx.com/juliacon-2026/talk/QS37VY/
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