François Févotte & Luiz Maltez Faria - Automating Task Interdependencies Using `DataFlowTasks.jl` скачать в хорошем качестве

François Févotte & Luiz Maltez Faria - Automating Task Interdependencies Using `DataFlowTasks.jl`

DataFlowTasks.jl is a Julia package dedicated to parallel programming on multi-core shared memory CPUs. From user annotations (READ, WRITE, READWRITE) on program data, DataFlowTasks.jl automatically infers dependencies between parallel tasks. Behind the scenes, the user annotations are used to automatically infer task dependencies by constructing and analysing a directed acyclic graph based on how tasks access the underlying data. The premise is that, for certain kinds of algorithms where constant re-use of data is of paramount importance for performance, it is simpler to specify how tasks depend on data than to directly specify how tasks depend on each other (e.g. manually adding synchronization primitives such as wait, fetch, etc). Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/You... Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/You...