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UID:pretalx-juliacon-2026-99LHV3@pretalx.com
DTSTART;TZID=CET:20260813T111500
DTEND;TZID=CET:20260813T113000
DESCRIPTION:Effective partitioning is important for the scalability of agen
 t-based modeling (ABM) on HPC systems\, but existing methods do not meet t
 he specific challenges of complex ABMs. These usually involve heterogeneou
 s agent types with phase-based execution\, dynamic population changes\, an
 d moving agents. This talk presents ongoing research developing specialize
 d partitioning algorithms for distributed ABMs\, including a benchmark fra
 mework and the development of specialized Julia packages.
DTSTAMP:20260502T114915Z
LOCATION:Room 3
SUMMARY:Scalable Agent-Based Modeling: Understanding and Addressing Partiti
 oning Challenges - Steffen Fürst
URL:https://pretalx.com/juliacon-2026/talk/99LHV3/
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