/usr/include/hphp/hhbbc/parallel.h is in hhvm-dev 3.11.1+dfsg-1ubuntu1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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+----------------------------------------------------------------------+
| HipHop for PHP |
+----------------------------------------------------------------------+
| Copyright (c) 2010-2015 Facebook, Inc. (http://www.facebook.com) |
+----------------------------------------------------------------------+
| This source file is subject to version 3.01 of the PHP license, |
| that is bundled with this package in the file LICENSE, and is |
| available through the world-wide-web at the following url: |
| http://www.php.net/license/3_01.txt |
| If you did not receive a copy of the PHP license and are unable to |
| obtain it through the world-wide-web, please send a note to |
| license@php.net so we can mail you a copy immediately. |
+----------------------------------------------------------------------+
*/
#ifndef incl_HHBBC_PARALLEL_H_
#define incl_HHBBC_PARALLEL_H_
#include <stdexcept>
#include <iterator>
#include <cstdio>
#include <thread>
#include <vector>
#include <type_traits>
#include <string>
#include <atomic>
#include <algorithm>
#include <exception>
#include <folly/ScopeGuard.h>
#include "hphp/runtime/base/program-functions.h"
namespace HPHP { namespace HHBBC {
namespace parallel {
//////////////////////////////////////////////////////////////////////
/*
* Before using the parallel module, you can configure these to change
* how much parallelism is used.
*/
extern size_t num_threads;
extern size_t work_chunk;
//////////////////////////////////////////////////////////////////////
/*
* Call a function on each element of `inputs', in parallel.
*
* If `func' throws an exception, some of the work will not be
* attempted.
*/
template<class Func, class Item>
void for_each(const std::vector<Item>& inputs, Func func) {
std::atomic<bool> failed{false};
std::atomic<size_t> index{0};
std::vector<std::thread> workers;
for (auto worker = size_t{0}; worker < num_threads; ++worker) {
workers.push_back(std::thread([&] {
try {
hphp_thread_init();
hphp_session_init();
hphp_context_init();
SCOPE_EXIT {
hphp_context_exit();
hphp_session_exit();
hphp_thread_exit();
};
for (;;) {
auto start = index.fetch_add(work_chunk);
auto const stop = std::min(start + work_chunk, inputs.size());
if (start >= stop) break;
for (auto i = start; i != stop; ++i) func(inputs[i]);
}
} catch (const std::exception& e) {
std::fprintf(stderr,
"worker thread exited with exception: %s\n", e.what());
failed = true;
}
}));
}
for (auto& t : workers) t.join();
if (failed) throw std::runtime_error("parallel::for_each failed");
}
//////////////////////////////////////////////////////////////////////
/*
* Call a function that produces a return value for each element of
* `inputs' in parallel, and collect the results.
*
* Requires: the type returned from the function call must be
* DefaultConstructible, and either MoveAssignable or Assignable.
*
* If `func' throws an exception, the results of the output vector
* will contain some default-constructed values.
*/
template<class Func, class Item>
std::vector<typename std::result_of<Func (Item)>::type>
map(const std::vector<Item>& inputs, Func func) {
using RetT = typename std::result_of<Func (Item)>::type;
std::vector<RetT> retVec(inputs.size());
auto const retMem = &retVec[0];
std::atomic<bool> failed{false};
std::atomic<size_t> index{0};
std::vector<std::thread> workers;
for (auto worker = size_t{0}; worker < num_threads; ++worker) {
workers.push_back(std::thread([&] {
try {
hphp_thread_init();
hphp_session_init();
hphp_context_init();
SCOPE_EXIT {
hphp_context_exit();
hphp_session_exit();
hphp_thread_exit();
};
for (;;) {
auto start = index.fetch_add(work_chunk);
auto const stop = std::min(start + work_chunk, inputs.size());
if (start >= stop) break;
std::transform(
begin(inputs) + start, begin(inputs) + stop,
retMem + start,
func
);
}
} catch (const std::runtime_error& e) {
std::fprintf(stderr,
"worker thread exited with exception: %s\n", e.what());
failed = true;
}
}));
}
for (auto& t : workers) t.join();
if (failed) throw std::runtime_error("parallel::map failed");
return retVec;
}
//////////////////////////////////////////////////////////////////////
}
}}
#endif
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