Explore advanced parallelism techniques using Dagger.jl in this JuliaCon2021 talk. Learn why Dagger.jl surpasses Distributed.jl for complex problems and large-scale parallelization, offering GPU execution and fault tolerance. Follow along as the speaker builds a real-world application, demonstrating Dagger's powerful scheduler and resource utilization. Discover key features like distributed arrays, checkpointing, and GPU programming with DaggerGPU.jl. Gain insights into Dagger's architecture, its relationship with Distributed.jl, and upcoming features such as distributed tables, task and data scopes, and mutable chunks. Perfect for Julia developers looking to enhance their parallel computing skills and leverage Dagger.jl's full potential in their projects.