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Explore the latest developments and future roadmap of Dagger.jl, Julia's native task runtime and unified parallelism interface, in this 31-minute conference talk from JuliaCon Global 2025. Discover how Dagger.jl enables parallelization across diverse data structures including arrays, tables, graphs, and custom types, while supporting multiple operation modes from one-off tasks to streaming continuous tasks with implicit data dependencies. Learn about Dagger's seamless multi-GPU support across all four major vendors (NVIDIA, AMD, Apple, and Intel) for both single-node and distributed computing environments. Get updated on all new features and improvements introduced since JuliaCon 2024, understand how these enhancements can benefit your specific use cases, and preview the development roadmap leading to JuliaCon 2026. Gain insights into upcoming possibilities and improvements that will expand Dagger's capabilities for high-performance parallel computing in Julia.
