Files
tbb/examples/concurrent_priority_queue/shortpath/shortpath.cpp
T
Hans Johnson e32d75f876 ENH: Update to TBB 2017 (2016-09-08 release)
The new release TBB is now under a new more
open license.
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

The list of most significant changes made over time in
Intel(R) Threading Building Blocks (Intel(R) TBB).

Intel TBB 2017
TBB_INTERFACE_VERSION == 9100

Changes (w.r.t. Intel TBB 4.4 Update 5):

- static_partitioner class is now a fully supported feature.
- async_node class is now a fully supported feature.
- Improved dynamic memory allocation replacement on Windows* OS to skip
    DLLs for which replacement cannot be done, instead of aborting.
- Intel TBB no longer performs dynamic memory allocation replacement
    for Microsoft* Visual Studio* 2008.
- For 64-bit platforms, quadrupled the worst-case limit on the amount
    of memory the Intel TBB allocator can handle.
- Added TBB_USE_GLIBCXX_VERSION macro to specify the version of GNU
    libstdc++ when it cannot be properly recognized, e.g. when used
    with Clang on Linux* OS. Inspired by a contribution from David A.
- Added graph/stereo example to demostrate tbb::flow::async_msg.
- Removed a few cases of excessive user data copying in the flow graph.
- Reworked split_node to eliminate unnecessary overheads.
- Added support for C++11 move semantics to the argument of
    tbb::parallel_do_feeder::add() method.
- Added C++11 move constructor and assignment operator to
    tbb::combinable template class.
- Added tbb::this_task_arena::max_concurrency() function and
    max_concurrency() method of class task_arena returning the maximal
    number of threads that can work inside an arena.
- Deprecated tbb::task_arena::current_thread_index() static method;
    use tbb::this_task_arena::current_thread_index() function instead.
- All examples for commercial version of library moved online:
    https://software.intel.com/en-us/product-code-samples. Examples are
    available as a standalone package or as a part of Intel(R) Parallel
    Studio XE or Intel(R) System Studio Online Samples packages.

Changes affecting backward compatibility:

- Renamed following methods and types in async_node class:
    Old                   New
    async_gateway_type => gateway_type
    async_gateway()    => gateway()
    async_try_put()    => try_put()
    async_reserve()    => reserve_wait()
    async_commit()     => release_wait()
- Internal layout of some flow graph nodes has changed; recompilation
    is recommended for all binaries that use the flow graph.

Preview Features:

- Added template class streaming_node to the flow graph API. It allows
    a flow graph to offload computations to other devices through
    streaming or offloading APIs.
- Template class opencl_node reimplemented as a specialization of
    streaming_node that works with OpenCL*.
- Added tbb::this_task_arena::isolate() function to isolate execution
    of a group of tasks or an algorithm from other tasks submitted
    to the scheduler.

Bugs fixed:

- Added a workaround for GCC bug #62258 in std::rethrow_exception()
    to prevent possible problems in case of exception propagation.
- Fixed parallel_scan to provide correct result if the initial value
    of an accumulator is not the operation identity value.
- Fixed a memory corruption in the memory allocator when it meets
    internal limits.
- Fixed the memory allocator on 64-bit platforms to align memory
    to 16 bytes by default for all allocations bigger than 8 bytes.
- As a workaround for crashes in the Intel TBB library compiled with
    GCC 6, added -flifetime-dse=1 to compilation options on Linux* OS.
- Fixed a race in the flow graph implementation.

Open-source contributions integrated:

- Enabling use of C++11 'override' keyword by Raf Schietekat.

------------------------------------------------------------------------
2016-09-28 21:12:48 +02:00

370 lines
12 KiB
C++

/*
Copyright (c) 2005-2016 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
#include <cstdio>
#include <vector>
#include <math.h>
#include "tbb/atomic.h"
#include "tbb/tick_count.h"
#include "tbb/task_scheduler_init.h"
#include "tbb/task_group.h"
#include "tbb/concurrent_priority_queue.h"
#include "tbb/spin_mutex.h"
#include "tbb/parallel_for.h"
#include "tbb/blocked_range.h"
#include "../../common/utility/utility.h"
#include "../../common/utility/fast_random.h"
#if defined(_MSC_VER) && defined(_Wp64)
// Workaround for overzealous compiler warnings in /Wp64 mode
#pragma warning (disable: 4267)
#endif /* _MSC_VER && _Wp64 */
using namespace std;
using namespace tbb;
struct point {
double x, y;
point() {}
point(double _x, double _y) : x(_x), y(_y) {}
point(const point& p) : x(p.x), y(p.y) {}
};
double get_distance(const point& p1, const point& p2) {
double xdiff=p1.x-p2.x, ydiff=p1.y-p2.y;
return sqrt(xdiff*xdiff + ydiff*ydiff);
}
// generates random points on 2D plane within a box of maxsize width & height
point generate_random_point(utility::FastRandom& mr) {
const size_t maxsize=500;
double x = (double)(mr.get() % maxsize);
double y = (double)(mr.get() % maxsize);
return point(x,y);
}
// weighted toss makes closer nodes (in the point vector) heavily connected
bool die_toss(size_t a, size_t b, utility::FastRandom& mr) {
int node_diff = std::abs((int)(a-b));
// near nodes
if (node_diff < 16) return true;
// mid nodes
if (node_diff < 64) return ((int)mr.get() % 8 == 0);
// far nodes
if (node_diff < 512) return ((int)mr.get() % 16 == 0);
return false;
}
typedef vector<point> point_set;
typedef size_t vertex_id;
typedef std::pair<vertex_id,double> vertex_rec;
typedef vector<vector<vertex_id> > edge_set;
bool verbose = false; // prints bin details and other diagnostics to screen
bool silent = false; // suppress all output except for time
size_t N = 1000; // number of vertices
size_t src = 0; // start of path
size_t dst = N-1; // end of path
double INF=100000.0; // infinity
size_t grainsize = 16; // number of vertices per task on average
size_t max_spawn; // max tasks to spawn
tbb::atomic<size_t> num_spawn; // number of active tasks
point_set vertices; // vertices
edge_set edges; // edges
vector<vertex_id> predecessor; // for recreating path from src to dst
vector<double> f_distance; // estimated distances at particular vertex
vector<double> g_distance; // current shortest distances from src vertex
spin_mutex *locks; // a lock for each vertex
task_group *sp_group; // task group for tasks executing sub-problems
class compare_f {
public:
bool operator()(const vertex_rec& u, const vertex_rec& v) const {
return u.second>v.second;
}
};
concurrent_priority_queue<vertex_rec, compare_f> open_set; // tentative vertices
void shortpath_helper();
#if !__TBB_CPP11_LAMBDAS_PRESENT
class shortpath_helper_functor {
public:
shortpath_helper_functor() {};
void operator() () const { shortpath_helper(); }
};
#endif
void shortpath() {
sp_group = new task_group;
g_distance[src] = 0.0; // src's distance from src is zero
f_distance[src] = get_distance(vertices[src], vertices[dst]); // estimate distance from src to dst
open_set.push(make_pair(src,f_distance[src])); // push src into open_set
#if __TBB_CPP11_LAMBDAS_PRESENT
sp_group->run([](){ shortpath_helper(); });
#else
sp_group->run( shortpath_helper_functor() );
#endif
sp_group->wait();
delete sp_group;
}
void shortpath_helper() {
vertex_rec u_rec;
while (open_set.try_pop(u_rec)) {
vertex_id u = u_rec.first;
if (u==dst) continue;
double f = u_rec.second;
double old_g_u = 0.0;
{
spin_mutex::scoped_lock l(locks[u]);
if (f > f_distance[u]) continue; // prune search space
old_g_u = g_distance[u];
}
for (size_t i=0; i<edges[u].size(); ++i) {
vertex_id v = edges[u][i];
double new_g_v = old_g_u + get_distance(vertices[u], vertices[v]);
double new_f_v = 0.0;
// the push flag lets us move some work out of the critical section below
bool push = false;
{
spin_mutex::scoped_lock l(locks[v]);
if (new_g_v < g_distance[v]) {
predecessor[v] = u;
g_distance[v] = new_g_v;
new_f_v = f_distance[v] = g_distance[v] + get_distance(vertices[v], vertices[dst]);
push = true;
}
}
if (push) {
open_set.push(make_pair(v,new_f_v));
size_t n_spawn = ++num_spawn;
if (n_spawn < max_spawn) {
#if __TBB_CPP11_LAMBDAS_PRESENT
sp_group->run([]{ shortpath_helper(); });
#else
sp_group->run( shortpath_helper_functor() );
#endif
}
else --num_spawn;
}
}
}
--num_spawn;
}
void make_path(vertex_id src, vertex_id dst, vector<vertex_id>& path) {
vertex_id at = predecessor[dst];
if (at == N) path.push_back(src);
else if (at == src) { path.push_back(src); path.push_back(dst); }
else { make_path(src, at, path); path.push_back(dst); }
}
void print_path() {
vector<vertex_id> path;
double path_length=0.0;
make_path(src, dst, path);
if (verbose) printf("\n ");
for (size_t i=0; i<path.size(); ++i) {
if (path[i] != dst) {
double seg_length = get_distance(vertices[path[i]], vertices[path[i+1]]);
if (verbose) printf("%6.1f ", seg_length);
path_length += seg_length;
}
else if (verbose) printf("\n");
}
if (verbose) {
for (size_t i=0; i<path.size(); ++i) {
if (path[i] != dst) printf("(%4d)------>", (int)path[i]);
else printf("(%4d)\n", (int)path[i]);
}
}
if (verbose) printf("Total distance = %5.1f\n", path_length);
else if (!silent) printf(" %5.1f\n", path_length);
}
int get_default_num_threads() {
static int threads = 0;
if (threads == 0)
threads = tbb::task_scheduler_init::default_num_threads();
return threads;
}
#if !__TBB_CPP11_LAMBDAS_PRESENT
class gen_vertices {
public:
gen_vertices() {}
void operator() (blocked_range<size_t>& r) const {
utility::FastRandom my_random((unsigned int)r.begin());
for (size_t i=r.begin(); i!=r.end(); ++i) {
vertices[i] = generate_random_point(my_random);
}
}
};
class gen_edges {
public:
gen_edges() {}
void operator() (blocked_range<size_t>& r) const {
utility::FastRandom my_random((unsigned int)r.begin());
for (size_t i=r.begin(); i!=r.end(); ++i) {
for (size_t j=0; j<i; ++j) {
if (die_toss(i, j, my_random))
edges[i].push_back(j);
}
}
}
};
class reset_vertices {
public:
reset_vertices() {}
void operator() (blocked_range<size_t>& r) const {
for (size_t i=r.begin(); i!=r.end(); ++i) {
f_distance[i] = g_distance[i] = INF;
predecessor[i] = N;
}
}
};
#endif
void InitializeGraph() {
task_scheduler_init init(get_default_num_threads());
vertices.resize(N);
edges.resize(N);
predecessor.resize(N);
g_distance.resize(N);
f_distance.resize(N);
locks = new spin_mutex[N];
if (verbose) printf("Generating vertices...\n");
#if __TBB_CPP11_LAMBDAS_PRESENT
parallel_for(blocked_range<size_t>(0,N,64),
[&](blocked_range<size_t>& r) {
utility::FastRandom my_random(r.begin());
for (size_t i=r.begin(); i!=r.end(); ++i) {
vertices[i] = generate_random_point(my_random);
}
}, simple_partitioner());
#else
parallel_for(blocked_range<size_t>(0,N,64), gen_vertices(), simple_partitioner());
#endif
if (verbose) printf("Generating edges...\n");
#if __TBB_CPP11_LAMBDAS_PRESENT
parallel_for(blocked_range<size_t>(0,N,64),
[&](blocked_range<size_t>& r) {
utility::FastRandom my_random(r.begin());
for (size_t i=r.begin(); i!=r.end(); ++i) {
for (size_t j=0; j<i; ++j) {
if (die_toss(i, j, my_random))
edges[i].push_back(j);
}
}
}, simple_partitioner());
#else
parallel_for(blocked_range<size_t>(0,N,64), gen_edges(), simple_partitioner());
#endif
for (size_t i=0; i<N; ++i) {
for (size_t j=0; j<edges[i].size(); ++j) {
vertex_id k = edges[i][j];
edges[k].push_back(i);
}
}
if (verbose) printf("Done.\n");
}
void ReleaseGraph() {
delete []locks;
}
void ResetGraph() {
task_scheduler_init init(get_default_num_threads());
#if __TBB_CPP11_LAMBDAS_PRESENT
parallel_for(blocked_range<size_t>(0,N),
[&](blocked_range<size_t>& r) {
for (size_t i=r.begin(); i!=r.end(); ++i) {
f_distance[i] = g_distance[i] = INF;
predecessor[i] = N;
}
});
#else
parallel_for(blocked_range<size_t>(0,N), reset_vertices());
#endif
}
int main(int argc, char *argv[]) {
try {
utility::thread_number_range threads(get_default_num_threads);
utility::parse_cli_arguments(argc, argv,
utility::cli_argument_pack()
//"-h" option for displaying help is present implicitly
.positional_arg(threads,"#threads",utility::thread_number_range_desc)
.arg(verbose,"verbose"," print diagnostic output to screen")
.arg(silent,"silent"," limits output to timing info; overrides verbose")
.arg(N,"N"," number of vertices")
.arg(src,"start"," start of path")
.arg(dst,"end"," end of path")
);
if (silent) verbose = false; // make silent override verbose
else
printf("shortpath will run with %d vertices to find shortest path between vertices"
" %d and %d using %d:%d threads.\n",
(int)N, (int)src, (int)dst, (int)threads.first, (int)threads.last);
if (dst >= N) {
if (verbose)
printf("end value %d is invalid for %d vertices; correcting to %d\n", (int)dst, (int)N, (int)N-1);
dst = N-1;
}
num_spawn = 0;
max_spawn = N/grainsize;
tick_count t0, t1;
InitializeGraph();
for (int n_thr=threads.first; n_thr<=threads.last; n_thr=threads.step(n_thr)) {
ResetGraph();
task_scheduler_init init(n_thr);
t0 = tick_count::now();
shortpath();
t1 = tick_count::now();
if (!silent) {
if (predecessor[dst] != N) {
printf("%d threads: [%6.6f] The shortest path from vertex %d to vertex %d is:",
(int)n_thr, (t1-t0).seconds(), (int)src, (int)dst);
print_path();
}
else {
printf("%d threads: [%6.6f] There is no path from vertex %d to vertex %d\n",
(int)n_thr, (t1-t0).seconds(), (int)src, (int)dst);
}
} else
utility::report_elapsed_time((t1-t0).seconds());
}
ReleaseGraph();
return 0;
} catch(std::exception& e) {
cerr<<"error occurred. error text is :\"" <<e.what()<<"\"\n";
return 1;
}
}