Visible to Intel only — GUID: GUID-59386C0C-66F5-4D11-AF92-34FCA86D90AC
Package Contents
Parallelizing Simple Loops
Parallelizing Complex Loops
Parallelizing Data Flow and Dependence Graphs
Work Isolation
Exceptions and Cancellation
Floating-point Settings
Containers
Mutual Exclusion
Timing
Memory Allocation
The Task Scheduler
Design Patterns
Migrating from Threading Building Blocks (TBB)
Constrained APIs
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
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-59386C0C-66F5-4D11-AF92-34FCA86D90AC
Flow Graph Tips for Limiting Resource Consumption
You may want to control the number of messages allowed to enter parts of your graph, or control the maximum number of tasks in the work pool. There are several mechanisms available for limiting resource consumption in a flow graph.