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Os Reindersfinal
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5. Family Tree 1988 2001 2006 1995 Languages *Other names and brands may be claimed as the property of others Cilk space efficient scheduler cache-oblivious algorithms Threaded-C continuation tasks task stealing OpenMP* fork/join tasks OpenMP taskqueue while & recursion Pragmas Chare Kernel small tasks JSR-166 (FJTask) containers Intel® Threading Building Blocks STL generic programming STAPL recursive ranges ECMA .NET* parallel iteration classes Libraries
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7. Example (just a peek) void ApplyFoo( size_t n , int x ) { for(size_t i=range_begin; i<range_end; ++i) Foo( i,x ); } SERIAL VERSION void ParallelApplyFoo(size_t n, int x) { parallel_for( blocked_range<size_t>(0,n,10), <>(const blocked_range<size_t>& range) { for(size_t i=range.begin(); i<range.end(); ++i) Foo(i,x); } ); } PARALLEL VERSION (the way I wish I could write it)
8. Parallel Version (as it can be written) class ApplyFoo { public: int my_x; ApplyFoo( int x ) : my_x(x) {} void operator()(const blocked_range<size_t>& range) const { for(size_t i=range.begin(); i!=range.end(); ++i) Foo(i,my_x); } }; void ParallelApplyFoo(size_t n, int x) { parallel_for(blocked_range<size_t>(0,n,10), ApplyFoo(x)); }
19. Parallel pipeline Parallel stage scales because it can process items in parallel or out of order. Serial stage processes items one at a time in order. Another serial stage. Items wait for turn in serial stage Controls excessive parallelism by limiting total number of items flowing through pipeline. Uses sequence numbers recover order for serial stage. Tag incoming items with sequence numbers Throughput limited by throughput of slowest serial stage. 1 3 2 4 5 6 7 8 9 10 11 12