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Intel Threading Building Blocks
book

Intel Threading Building Blocks

by James Reinders
July 2007
Intermediate to advanced
332 pages
10h 4m
English
O'Reilly Media, Inc.
Content preview from Intel Threading Building Blocks

concurrent_hash_map

A concurrent_hash_map<Key,T,HashCompare> is a hash table that permits concurrent accesses. The table is a map from a key to a type T. The HashCompare traits type defines how to hash a key and how to compare two keys.

Example 5-4 builds a concurrent_hash_map in which the keys are strings and the corresponding data is the number of times each string occurs in the array Data.

Example 5-4. Concurrent hash map

#include "tbb/concurrent_hash_map.h" #include "tbb/blocked_range.h" #include "tbb/parallel_for.h" #include <string> using namespace tbb; using namespace std; // Structure that defines hashing and comparison operations for user's type. struct MyHashCompare { static size_t hash( const string& x ) { size_t h = 0; for( const char* s = x.c_str(); *s; ++s ) h = (h*17)^*s; return h; } //! True if strings are equal static bool equal( const string& x, const string& y ) { return x==y; } }; // A concurrent hash table that maps strings to ints. typedef concurrent_hash_map<string,int,MyHashCompare> StringTable; // Function object for counting occurrences of strings. struct Tally { StringTable& table; Tally( StringTable& table_ ) : table(table_) {} void operator()( const blocked_range<string*> range ) const { for( string* p=range.begin(); p!=range.end(); ++p ) { StringTable::accessor a; table.insert( a, *p ); a->second += 1; } } }; const size_t N = 1000000; string Data[N]; void CountOccurrences() { // Construct empty table. StringTable table; // Put occurrences into the table ...
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ISBN: 9780596514808Errata Page