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tbb/examples/parallel_reduce/primes/primes.cpp
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2016-05-12 15:59:02 +01:00

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/*
Copyright 2005-2016 Intel Corporation. All Rights Reserved.
This file is part of Threading Building Blocks. Threading Building Blocks is free software;
you can redistribute it and/or modify it under the terms of the GNU General Public License
version 2 as published by the Free Software Foundation. Threading Building Blocks is
distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the
implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
See the GNU General Public License for more details. You should have received a copy of
the GNU General Public License along with Threading Building Blocks; if not, write to the
Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
As a special exception, you may use this file as part of a free software library without
restriction. Specifically, if other files instantiate templates or use macros or inline
functions from this file, or you compile this file and link it with other files to produce
an executable, this file does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however invalidate any other
reasons why the executable file might be covered by the GNU General Public License.
*/
// Example program that computes number of prime numbers up to n,
// where n is a command line argument. The algorithm here is a
// fairly efficient version of the sieve of Eratosthenes.
// The parallel version demonstrates how to use parallel_reduce,
// and in particular how to exploit lazy splitting.
#include "primes.h"
#if __TBB_MIC_OFFLOAD
#pragma offload_attribute (target(mic))
#endif // __TBB_MIC_OFFLOAD
#include <algorithm>
#include <cassert>
#include <cstdio>
#include <cstring>
#include <math.h>
#include <cstdlib>
#include <cctype>
#include "tbb/parallel_reduce.h"
#include "tbb/task_scheduler_init.h"
using namespace std;
//! If true, then print primes on stdout.
static bool printPrimes = false;
class Multiples {
inline NumberType strike( NumberType start, NumberType limit, NumberType stride ) {
// Hoist "my_is_composite" into register for sake of speed.
bool* is_composite = my_is_composite;
assert( stride>=2 );
for( ;start<limit; start+=stride )
is_composite[start] = true;
return start;
}
//! Window into conceptual sieve
bool* my_is_composite;
//! Indexes into window
/** my_striker[k] is an index into my_composite corresponding to
an odd multiple multiple of my_factor[k]. */
NumberType* my_striker;
//! Prime numbers less than m.
NumberType* my_factor;
public:
//! NumberType of factors in my_factor.
NumberType n_factor;
NumberType m;
Multiples( NumberType n ) {
m = NumberType(sqrt(double(n)));
// Round up to even
m += m&1;
my_is_composite = new bool[m/2];
my_striker = new NumberType[m/2];
my_factor = new NumberType[m/2];
n_factor = 0;
memset( my_is_composite, 0, m/2 );
for( NumberType i=3; i<m; i+=2 ) {
if( !my_is_composite[i/2] ) {
if( printPrimes )
printf("%d\n",(int)i);
my_striker[n_factor] = strike( i/2, m/2, i );
my_factor[n_factor++] = i;
}
}
}
//! Find primes in range [start,window_size), advancing my_striker as we go.
/** Returns number of primes found. */
NumberType find_primes_in_window( NumberType start, NumberType window_size ) {
bool* is_composite = my_is_composite;
memset( is_composite, 0, window_size/2 );
for( size_t k=0; k<n_factor; ++k )
my_striker[k] = strike( my_striker[k]-m/2, window_size/2, my_factor[k] );
NumberType count = 0;
for( NumberType k=0; k<window_size/2; ++k ) {
if( !is_composite[k] ) {
if( printPrimes )
printf("%ld\n",long(start+2*k+1));
++count;
}
}
return count;
}
~Multiples() {
delete[] my_factor;
delete[] my_striker;
delete[] my_is_composite;
}
//------------------------------------------------------------------------
// Begin extra members required by parallel version
//------------------------------------------------------------------------
// Splitting constructor
Multiples( const Multiples& f, tbb::split ) :
n_factor(f.n_factor),
m(f.m),
my_is_composite(NULL),
my_striker(NULL),
my_factor(f.my_factor)
{}
bool is_initialized() const {
return my_is_composite!=NULL;
}
void initialize( NumberType start ) {
assert( start>=1 );
my_is_composite = new bool[m/2];
my_striker = new NumberType[m/2];
for( size_t k=0; k<n_factor; ++k ) {
NumberType f = my_factor[k];
NumberType p = (start-1)/f*f % m;
my_striker[k] = (p&1 ? p+2*f : p+f)/2;
assert( m/2<=my_striker[k] );
}
}
// Move other to *this.
void move( Multiples& other ) {
// The swap moves the contents of other to *this and causes the old contents
// of *this to be deleted later when other is destroyed.
std::swap( my_striker, other.my_striker );
std::swap( my_is_composite, other.my_is_composite );
// other.my_factor is a shared pointer that was copied by the splitting constructor.
// Set it to NULL to prevent premature deletion by the destructor of ~other.
assert(my_factor==other.my_factor);
other.my_factor = NULL;
}
//------------------------------------------------------------------------
// End extra methods required by parallel version
//------------------------------------------------------------------------
};
//! Count number of primes between 0 and n
/** This is the serial version. */
NumberType SerialCountPrimes( NumberType n ) {
// Two is special case
NumberType count = n>=2;
if( n>=3 ) {
Multiples multiples(n);
count += multiples.n_factor;
if( printPrimes )
printf("---\n");
NumberType window_size = multiples.m;
for( NumberType j=multiples.m; j<=n; j+=window_size ) {
if( j+window_size>n+1 )
window_size = n+1-j;
count += multiples.find_primes_in_window( j, window_size );
}
}
return count;
}
//! Range of a sieve window.
class SieveRange {
//! Width of full-size window into sieve.
const NumberType my_stride;
//! Always multiple of my_stride
NumberType my_begin;
//! One past last number in window.
NumberType my_end;
//! Width above which it is worth forking.
const NumberType my_grainsize;
bool assert_okay() const {
assert( my_begin%my_stride==0 );
assert( my_begin<=my_end );
assert( my_stride<=my_grainsize );
return true;
}
public:
//------------------------------------------------------------------------
// Begin signatures required by parallel_reduce
//------------------------------------------------------------------------
bool is_divisible() const {return my_end-my_begin>my_grainsize;}
bool empty() const {return my_end<=my_begin;}
SieveRange( SieveRange& r, tbb::split ) :
my_stride(r.my_stride),
my_grainsize(r.my_grainsize),
my_end(r.my_end)
{
assert( r.is_divisible() );
assert( r.assert_okay() );
NumberType middle = r.my_begin + (r.my_end-r.my_begin+r.my_stride-1)/2;
middle = middle/my_stride*my_stride;
my_begin = middle;
r.my_end = middle;
assert( assert_okay() );
assert( r.assert_okay() );
}
//------------------------------------------------------------------------
// End of signatures required by parallel_reduce
//------------------------------------------------------------------------
NumberType begin() const {return my_begin;}
NumberType end() const {return my_end;}
SieveRange( NumberType begin, NumberType end, NumberType stride, NumberType grainsize ) :
my_begin(begin),
my_end(end),
my_stride(stride),
my_grainsize(grainsize<stride?stride:grainsize)
{
assert( assert_okay() );
}
};
//! Loop body for parallel_reduce.
/** parallel_reduce splits the sieve into subsieves.
Each subsieve handles a subrange of [0..n]. */
class Sieve {
public:
//! Prime Multiples to consider, and working storage for this subsieve.
::Multiples multiples;
//! NumberType of primes found so far by this subsieve.
NumberType count;
//! Construct Sieve for counting primes in [0..n].
Sieve( NumberType n ) :
multiples(n),
count(0)
{}
//------------------------------------------------------------------------
// Begin signatures required by parallel_reduce
//------------------------------------------------------------------------
void operator()( const SieveRange& r ) {
NumberType m = multiples.m;
if( multiples.is_initialized() ) {
// Simply reuse "Multiples" structure from previous window
// This works because parallel_reduce always applies
// *this from left to right.
} else {
// Need to initialize "Multiples" because *this is a forked copy
// that needs to be set up to start at r.begin().
multiples.initialize( r.begin() );
}
NumberType window_size = m;
for( NumberType j=r.begin(); j<r.end(); j+=window_size ) {
assert( j%multiples.m==0 );
if( j+window_size>r.end() )
window_size = r.end()-j;
count += multiples.find_primes_in_window( j, window_size );
}
}
void join( Sieve& other ) {
count += other.count;
// Final value of multiples needs to final value of other.mulitiples,
// so that *this can correcty process next window to right.
multiples.move( other.multiples );
}
Sieve( Sieve& other, tbb::split ) :
multiples(other.multiples,tbb::split()),
count(0)
{}
//------------------------------------------------------------------------
// End of signatures required by parallel_reduce
//------------------------------------------------------------------------
};
//! Count number of primes between 0 and n
/** This is the parallel version. */
NumberType ParallelCountPrimes( NumberType n , int number_of_threads, NumberType grain_size ) {
tbb::task_scheduler_init init(number_of_threads);
// Two is special case
NumberType count = n>=2;
if( n>=3 ) {
Sieve s(n);
count += s.multiples.n_factor;
if( printPrimes )
printf("---\n");
using namespace tbb;
// Explicit grain size and simple_partitioner() used here instead of automatic grainsize
// determination becase we want SieveRange to be decomposed down to grainSize or smaller.
// Doing so improves odds that the working set fits in cache when evaluating Sieve::operator().
parallel_reduce( SieveRange( s.multiples.m, n, s.multiples.m, grain_size ), s, simple_partitioner() );
count += s.count;
}
return count;
}