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Primary Use: Heterogeneous computing. Key Functions: Kernel execution, memory management, command queues.

Primary Use: General-purpose computing on GPUs. Key Functions: Kernel launches, memory management, device synchronization.

Primary Use: Thread creation and synchronization in a POSIX environment. Key Functions: pthread_create, pthread_join, mutexes.

Primary Use: Partitioned global address space programming. Key Functions: Shared variables, one-sided communication, distributed arrays.

Primary Use: Performance portability in HPC. Key Functions: Abstractions for parallel execution and data management, multidimensional array, execution spaces.

Primary Use: Communication among processes. Key Functions: MPI_Send, MPI_Recv, MPI_Bcast.

Primary Use: Heterogeneous multicore machines. Key Functions: Task scheduling, data management, performance modeling.

Primary Use: Parallel algorithms and data structures. Key Functions: transform, sort, reduce.

Primary Use: Directive-based programming for accelerators. Key Functions: compute constructs, data clauses, parallel loops.

Primary Use: Task parallelism and vectorization. Key Functions: Cilk_for, reducers, array notations.

Primary Use: Dynamic parallelism. Key Functions: Parallel loops, concurrent containers, task scheduler.

Primary Use: Shared memory multiprocessing. Key Functions: #pragma omp parallel, reduction, critical.

Primary Use: Parallel programming at scale. Key Functions: Locale-aware computing, forall loops, coforall loops.

Primary Use: Asynchronous parallelism. Key Functions: Futures and promises, parallel algorithms, global address space.