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lammps/lib/kokkos/core/unit_test/TestTeamScan.hpp
2020-12-22 08:52:37 -07:00

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6.4 KiB
C++

/*
//@HEADER
// ************************************************************************
//
// Kokkos v. 3.0
// Copyright (2020) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY NTESS "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NTESS OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Christian R. Trott (crtrott@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <Kokkos_Core.hpp>
#include <impl/Kokkos_Stacktrace.hpp>
#include <cstdio>
#include <cstdint>
#include <sstream>
#include <type_traits>
#if defined(__clang__)
#define is_clang true
#else
#define is_clang false
#endif
#if !defined(KOKKOS_ENABLE_OPENMPTARGET)
// for avoid pre-processor block
namespace Kokkos {
namespace Experimental {
class OpenMPTarget;
}
} // namespace Kokkos
#endif
#if !defined(KOKKOS_ENABLE_CUDA)
// for avoid pre-processor block
namespace Kokkos {
class Cuda;
} // namespace Kokkos
#endif
namespace Test {
template <class ExecutionSpace, class DataType>
struct TestTeamScan {
using execution_space = ExecutionSpace;
using value_type = DataType;
using policy_type = Kokkos::TeamPolicy<execution_space>;
using member_type = typename policy_type::member_type;
using view_type = Kokkos::View<value_type**, execution_space>;
view_type a_d;
view_type a_r;
int32_t M = 0;
int32_t N = 0;
KOKKOS_FUNCTION
void operator()(const member_type& team) const {
auto leagueRank = team.league_rank();
auto beg = 0;
auto end = N;
Kokkos::parallel_for(
Kokkos::TeamThreadRange(team, beg, end),
[&](const int i) { a_d(leagueRank, i) = leagueRank * N + i; });
Kokkos::parallel_scan(Kokkos::TeamThreadRange(team, beg, end),
[&](int i, DataType& val, const bool final) {
val += a_d(leagueRank, i);
if (final) a_r(leagueRank, i) = val;
});
}
auto operator()(int32_t _M, int32_t _N) {
std::cout << "Launching " << Kokkos::Impl::demangle(typeid(*this).name())
<< " with "
<< "M=" << _M << " and N=" << _N << "..." << std::endl;
M = _M;
N = _N;
a_d = view_type("a_d", M, N);
a_r = view_type("a_r", M, N);
// Set team size explicitly to
// a) check whether this works in CPU backends with team_size > 1 and
// b) make sure we have a power of 2 and for GPU backends due to limitation
// of the scan algorithm implemented in CUDA etc.
int team_size = 1;
if (ExecutionSpace().concurrency() > 2) {
if (ExecutionSpace().concurrency() > 10000)
team_size = 128;
else
team_size = 3;
}
Kokkos::parallel_for(policy_type(M, team_size), *this);
auto a_i = Kokkos::create_mirror_view(a_d);
auto a_o = Kokkos::create_mirror_view(a_r);
Kokkos::deep_copy(a_i, a_d);
Kokkos::deep_copy(a_o, a_r);
for (int32_t i = 0; i < M; ++i) {
value_type _scan_real = 0;
value_type _scan_calc = 0;
value_type _epsilon = std::numeric_limits<value_type>::epsilon();
// each fp addition is subject to small loses in precision and these
// compound as loop so we set the base error to be the machine epsilon and
// then add in another epsilon each iteration. For example, with CUDA
// backend + 32-bit float + large N values (e.g. 1,000) + high
// thread-counts (e.g. 1024), this test will fail w/o epsilon
// accommodation
for (int32_t j = 0; j < N; ++j) {
_scan_real += a_i(i, j);
_scan_calc = a_o(i, j);
auto _get_mesg = [=]() {
std::stringstream ss, idx;
idx << "(" << i << ", " << j << ") = ";
ss << "a_d" << idx.str() << a_i(i, j);
ss << ", a_r" << idx.str() << a_o(i, j);
return ss.str();
};
if (std::is_integral<value_type>::value) {
ASSERT_EQ(_scan_real, _scan_calc) << _get_mesg();
} else {
_epsilon += std::numeric_limits<value_type>::epsilon();
ASSERT_NEAR(_scan_real, _scan_calc, _epsilon) << _get_mesg();
}
}
}
}
};
TEST(TEST_CATEGORY, team_scan) {
TestTeamScan<TEST_EXECSPACE, int32_t>{}(0, 0);
TestTeamScan<TEST_EXECSPACE, int32_t>{}(0, 1);
TestTeamScan<TEST_EXECSPACE, int32_t>{}(1, 0);
TestTeamScan<TEST_EXECSPACE, uint32_t>{}(99, 32);
TestTeamScan<TEST_EXECSPACE, uint32_t>{}(139, 64);
TestTeamScan<TEST_EXECSPACE, uint32_t>{}(163, 128);
TestTeamScan<TEST_EXECSPACE, int64_t>{}(433, 256);
TestTeamScan<TEST_EXECSPACE, uint64_t>{}(976, 512);
TestTeamScan<TEST_EXECSPACE, uint64_t>{}(1234, 1024);
TestTeamScan<TEST_EXECSPACE, float>{}(2596, 34);
TestTeamScan<TEST_EXECSPACE, double>{}(2596, 59);
TestTeamScan<TEST_EXECSPACE, float>{}(2596, 65);
TestTeamScan<TEST_EXECSPACE, double>{}(2596, 371);
TestTeamScan<TEST_EXECSPACE, int64_t>{}(2596, 987);
TestTeamScan<TEST_EXECSPACE, double>{}(2596, 1311);
}
} // namespace Test