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Statements

Subject Item
dbr:Loop-level_parallelism
rdfs:label
Loop-level parallelism
rdfs:comment
Loop-level parallelism is a form of parallelism in software programming that is concerned with extracting parallel tasks from loops. The opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data structures. Where a sequential program will iterate over the data structure and operate on indices one at a time, a program exploiting loop-level parallelism will use multiple threads or processes which operate on some or all of the indices at the same time. Such parallelism provides a speedup to overall execution time of the program, typically in line with Amdahl's law.
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dbt:Parallel_Computing dbt:Reflist
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n7:Loop-level_parallelism?oldid=1037009247&ns=0
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dbr:Parallel_computing dbr:Race_condition dbr:Control_flow dbr:Serializability dbr:Random_access dbr:Distributed_memory dbr:Computer_programming dbr:Process_(computing) dbr:Data_parallelism dbr:Thread_(computing) dbc:Articles_with_example_pseudocode dbr:Synchronization_(computer_science) dbr:Message_Passing_Interface dbr:Embarrassingly_parallel dbr:Scheduling_(computing) dbr:Semaphore_(programming) dbr:Speedup dbr:Shared_memory dbr:Amdahl's_law dbr:Task_parallelism dbr:Data_structure dbc:Parallel_computing dbr:Message_passing
dbo:abstract
Loop-level parallelism is a form of parallelism in software programming that is concerned with extracting parallel tasks from loops. The opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data structures. Where a sequential program will iterate over the data structure and operate on indices one at a time, a program exploiting loop-level parallelism will use multiple threads or processes which operate on some or all of the indices at the same time. Such parallelism provides a speedup to overall execution time of the program, typically in line with Amdahl's law.
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n7:Loop-level_parallelism