Visible to Intel only — GUID: GUID-B233C22E-293D-4ABF-8211-C5E1FE4C3BFE
Package Contents
Parallelizing Simple Loops
Parallelizing Complex Loops
Parallelizing Data Flow and Dependence Graphs
Work Isolation
Exceptions and Cancellation
Containers
Mutual Exclusion
Timing
Memory Allocation
The Task Scheduler
Design Patterns
Migrating from Threading Building Blocks (TBB)
Constrained APIs
Invoke a Callable Object
Appendix A Costs of Time Slicing
Appendix B Mixing With Other Threading Packages
References
parallel_for_each Body semantics and requirements
parallel_sort ranges interface extension
TBB_malloc_replacement_log Function
Parallel Reduction for rvalues
Type-specified message keys for join_node
Scalable Memory Pools
Helper Functions for Expressing Graphs
concurrent_lru_cache
task_group extensions
The customizing mutex type for concurrent_hash_map
Visible to Intel only — GUID: GUID-B233C22E-293D-4ABF-8211-C5E1FE4C3BFE
Summary of Loops and Pipelines
The high-level loop and pipeline templates in oneAPI Threading Building Blocks (oneTBB) give you efficient scalable ways to exploit the power of multi-core chips without having to start from scratch. They let you design your software at a high task-pattern level and not worry about low-level manipulation of threads. Because they are generic, you can customize them to your specific needs. Have fun using these templates to unlock the power of multi-core.