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Kokkos_Threads_Team.hpp
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Kokkos_Threads_Team.hpp
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//@HEADER
// ************************************************************************
//
// Kokkos v. 4.0
// Copyright (2022) 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.
//
// Part of Kokkos, under the Apache License v2.0 with LLVM Exceptions.
// See https://kokkos.org/LICENSE for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//@HEADER
#ifndef KOKKOS_THREADSTEAM_HPP
#define KOKKOS_THREADSTEAM_HPP
#include <Kokkos_Macros.hpp>
#include <cstdio>
#include <utility>
#include <impl/Kokkos_HostThreadTeam.hpp>
#include <Kokkos_Atomic.hpp>
#include <Threads/Kokkos_Threads_Spinwait.hpp>
#include <Threads/Kokkos_Threads_State.hpp>
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Impl {
//----------------------------------------------------------------------------
template <class>
struct ThreadsExecAdapter;
//----------------------------------------------------------------------------
class ThreadsExecTeamMember {
private:
enum { TEAM_REDUCE_SIZE = 512 };
public:
using execution_space = Kokkos::Threads;
using scratch_memory_space = execution_space::scratch_memory_space;
using team_handle = ThreadsExecTeamMember;
private:
using space = execution_space::scratch_memory_space;
ThreadsInternal* const m_instance;
ThreadsInternal* const* m_team_base; ///< Base for team fan-in
space m_team_shared;
size_t m_team_shared_size;
int m_team_size;
int m_team_rank;
int m_team_rank_rev;
int m_league_size;
int m_league_end;
int m_league_rank;
int m_chunk_size;
int m_league_chunk_end;
int m_invalid_thread;
int m_team_alloc;
inline void set_team_shared() {
new (&m_team_shared) space(
static_cast<char*>((*m_team_base)->scratch_memory()) + TEAM_REDUCE_SIZE,
m_team_shared_size);
}
public:
// Fan-in and wait until the matching fan-out is called.
// The root thread which does not wait will return true.
// All other threads will return false during the fan-out.
KOKKOS_INLINE_FUNCTION bool team_fan_in() const {
int n, j;
// Wait for fan-in threads
for (n = 1;
(!(m_team_rank_rev & n)) && ((j = m_team_rank_rev + n) < m_team_size);
n <<= 1) {
spinwait_while_equal(m_team_base[j]->state(), ThreadState::Active);
}
// If not root then wait for release
if (m_team_rank_rev) {
m_instance->state() = ThreadState::Rendezvous;
spinwait_while_equal(m_instance->state(), ThreadState::Rendezvous);
}
return !m_team_rank_rev;
}
KOKKOS_INLINE_FUNCTION void team_fan_out() const {
int n, j;
for (n = 1;
(!(m_team_rank_rev & n)) && ((j = m_team_rank_rev + n) < m_team_size);
n <<= 1) {
m_team_base[j]->state() = ThreadState::Active;
}
}
public:
KOKKOS_INLINE_FUNCTION static int team_reduce_size() {
return TEAM_REDUCE_SIZE;
}
KOKKOS_INLINE_FUNCTION
const execution_space::scratch_memory_space& team_shmem() const {
return m_team_shared.set_team_thread_mode(0, 1, 0);
}
KOKKOS_INLINE_FUNCTION
const execution_space::scratch_memory_space& team_scratch(int) const {
return m_team_shared.set_team_thread_mode(0, 1, 0);
}
KOKKOS_INLINE_FUNCTION
const execution_space::scratch_memory_space& thread_scratch(int) const {
return m_team_shared.set_team_thread_mode(0, team_size(), team_rank());
}
KOKKOS_INLINE_FUNCTION int league_rank() const { return m_league_rank; }
KOKKOS_INLINE_FUNCTION int league_size() const { return m_league_size; }
KOKKOS_INLINE_FUNCTION int team_rank() const { return m_team_rank; }
KOKKOS_INLINE_FUNCTION int team_size() const { return m_team_size; }
KOKKOS_INLINE_FUNCTION void team_barrier() const {
team_fan_in();
team_fan_out();
}
template <class ValueType>
KOKKOS_INLINE_FUNCTION void team_broadcast(ValueType& value,
const int& thread_id) const {
KOKKOS_IF_ON_DEVICE(((void)value; (void)thread_id;))
KOKKOS_IF_ON_HOST((
// Make sure there is enough scratch space:
using type = typename if_c<sizeof(ValueType) < TEAM_REDUCE_SIZE,
ValueType, void>::type;
if (m_team_base) {
type* const local_value = ((type*)m_team_base[0]->scratch_memory());
memory_fence();
team_barrier();
if (team_rank() == thread_id) *local_value = value;
memory_fence();
team_barrier();
value = *local_value;
}))
}
template <class Closure, class ValueType>
KOKKOS_INLINE_FUNCTION void team_broadcast(Closure const& f, ValueType& value,
const int& thread_id) const {
KOKKOS_IF_ON_DEVICE(((void)f; (void)value; (void)thread_id;))
KOKKOS_IF_ON_HOST((
// Make sure there is enough scratch space:
using type = typename if_c<sizeof(ValueType) < TEAM_REDUCE_SIZE,
ValueType, void>::type;
f(value); if (m_team_base) {
type* const local_value = ((type*)m_team_base[0]->scratch_memory());
memory_fence();
team_barrier();
if (team_rank() == thread_id) *local_value = value;
memory_fence();
team_barrier();
value = *local_value;
}))
}
template <typename Type>
KOKKOS_INLINE_FUNCTION
std::enable_if_t<!Kokkos::is_reducer<Type>::value, Type>
team_reduce(const Type& value) const {
KOKKOS_IF_ON_DEVICE((return value;))
KOKKOS_IF_ON_HOST((
// Make sure there is enough scratch space:
using type =
typename if_c<sizeof(Type) < TEAM_REDUCE_SIZE, Type, void>::type;
if (team_rank() != team_size() - 1) *
((volatile type*)m_instance->scratch_memory()) = value;
memory_fence();
type& accum = *((type*)m_team_base[0]->scratch_memory());
if (team_fan_in()) {
accum = value;
for (int i = 1; i < m_team_size; ++i) {
accum += *((type*)m_team_base[i]->scratch_memory());
}
memory_fence();
}
team_fan_out();
return accum;))
}
template <typename ReducerType>
KOKKOS_INLINE_FUNCTION std::enable_if_t<is_reducer<ReducerType>::value>
team_reduce(ReducerType const& reducer) const noexcept {
team_reduce(reducer, reducer.reference());
}
template <typename ReducerType>
KOKKOS_INLINE_FUNCTION
std::enable_if_t<Kokkos::is_reducer<ReducerType>::value>
team_reduce(const ReducerType& reducer,
const typename ReducerType::value_type contribution) const {
KOKKOS_IF_ON_DEVICE(((void)reducer; (void)contribution;))
KOKKOS_IF_ON_HOST((
using value_type = typename ReducerType::value_type;
// Make sure there is enough scratch space:
using type = typename if_c<sizeof(value_type) < TEAM_REDUCE_SIZE,
value_type, void>::type;
type* const local_value = ((type*)m_instance->scratch_memory());
// Set this thread's contribution
if (team_rank() != team_size() - 1) { *local_value = contribution; }
// Fence to make sure the base team member has access:
memory_fence();
if (team_fan_in()) {
// The last thread to synchronize returns true, all other threads
// wait for team_fan_out()
type* const team_value = ((type*)m_team_base[0]->scratch_memory());
*team_value = contribution;
// Join to the team value:
for (int i = 1; i < m_team_size; ++i) {
reducer.join(*team_value,
*((type*)m_team_base[i]->scratch_memory()));
}
// Team base thread may "lap" member threads so copy out to their
// local value.
for (int i = 1; i < m_team_size; ++i) {
*((type*)m_team_base[i]->scratch_memory()) = *team_value;
}
// Fence to make sure all team members have access
memory_fence();
}
team_fan_out();
// Value was changed by the team base
reducer.reference() = *local_value;))
}
/** \brief Intra-team exclusive prefix sum with team_rank() ordering
* with intra-team non-deterministic ordering accumulation.
*
* The global inter-team accumulation value will, at the end of the
* league's parallel execution, be the scan's total.
* Parallel execution ordering of the league's teams is non-deterministic.
* As such the base value for each team's scan operation is similarly
* non-deterministic.
*/
template <typename ArgType>
KOKKOS_INLINE_FUNCTION ArgType team_scan(const ArgType& value,
ArgType* const global_accum) const {
KOKKOS_IF_ON_DEVICE(((void)global_accum; return value;))
KOKKOS_IF_ON_HOST(( // Make sure there is enough scratch space:
using type = typename if_c<sizeof(ArgType) < TEAM_REDUCE_SIZE, ArgType,
void>::type;
volatile type* const work_value = ((type*)m_instance->scratch_memory());
*work_value = value;
memory_fence();
if (team_fan_in()) {
// The last thread to synchronize returns true, all other threads wait
// for team_fan_out() m_team_base[0] == highest
// ranking team member m_team_base[ m_team_size - 1 ] == lowest
// ranking team member
//
// 1) copy from lower to higher rank, initialize lowest rank to zero
// 2) prefix sum from lowest to highest rank, skipping lowest rank
type accum = 0;
if (global_accum) {
for (int i = m_team_size; i--;) {
type& val = *((type*)m_team_base[i]->scratch_memory());
accum += val;
}
accum = atomic_fetch_add(global_accum, accum);
}
for (int i = m_team_size; i--;) {
type& val = *((type*)m_team_base[i]->scratch_memory());
const type offset = accum;
accum += val;
val = offset;
}
memory_fence();
}
team_fan_out();
return *work_value;))
}
/** \brief Intra-team exclusive prefix sum with team_rank() ordering.
*
* The highest rank thread can compute the reduction total as
* reduction_total = dev.team_scan( value ) + value ;
*/
template <typename ArgType>
KOKKOS_INLINE_FUNCTION ArgType team_scan(const ArgType& value) const {
return this->template team_scan<ArgType>(value, nullptr);
}
//----------------------------------------
// Private for the driver
template <class... Properties>
ThreadsExecTeamMember(
Impl::ThreadsInternal* instance,
const TeamPolicyInternal<Kokkos::Threads, Properties...>& team,
const size_t shared_size)
: m_instance(instance),
m_team_base(nullptr),
m_team_shared(nullptr, 0),
m_team_shared_size(shared_size),
m_team_size(team.team_size()),
m_team_rank(0),
m_team_rank_rev(0),
m_league_size(0),
m_league_end(0),
m_league_rank(0),
m_chunk_size(team.chunk_size()),
m_league_chunk_end(0),
m_team_alloc(team.team_alloc()) {
KOKKOS_ASSERT(m_instance != nullptr);
if (team.league_size()) {
// Execution is using device-team interface:
const int pool_rank_rev =
m_instance->pool_size() - (m_instance->pool_rank() + 1);
const int team_rank_rev = pool_rank_rev % team.team_alloc();
const size_t pool_league_size =
m_instance->pool_size() / team.team_alloc();
const size_t pool_league_rank_rev = pool_rank_rev / team.team_alloc();
if (pool_league_rank_rev >= pool_league_size) {
m_invalid_thread = 1;
return;
}
const size_t pool_league_rank =
pool_league_size - (pool_league_rank_rev + 1);
const int pool_num_teams = m_instance->pool_size() / team.team_alloc();
const int chunk_size =
team.chunk_size() > 0 ? team.chunk_size() : team.team_iter();
const int chunks_per_team =
(team.league_size() + chunk_size * pool_num_teams - 1) /
(chunk_size * pool_num_teams);
int league_iter_end = team.league_size() -
pool_league_rank_rev * chunks_per_team * chunk_size;
int league_iter_begin = league_iter_end - chunks_per_team * chunk_size;
if (league_iter_begin < 0) league_iter_begin = 0;
if (league_iter_end > team.league_size())
league_iter_end = team.league_size();
if ((team.team_alloc() > size_t(m_team_size))
? (team_rank_rev >= m_team_size)
: (m_instance->pool_size() - pool_num_teams * m_team_size >
m_instance->pool_rank()))
m_invalid_thread = 1;
else
m_invalid_thread = 0;
// May be using fewer threads per team than a multiple of threads per
// core, some threads will idle.
if (team_rank_rev < team.team_size() && !m_invalid_thread) {
m_team_base =
m_instance->pool_base() + team.team_alloc() * pool_league_rank_rev;
m_team_size = team.team_size();
m_team_rank = team.team_size() - (team_rank_rev + 1);
m_team_rank_rev = team_rank_rev;
m_league_size = team.league_size();
m_league_rank =
(team.league_size() * pool_league_rank) / pool_league_size;
m_league_end =
(team.league_size() * (pool_league_rank + 1)) / pool_league_size;
set_team_shared();
}
if ((m_team_rank_rev == 0) && (m_invalid_thread == 0)) {
m_instance->set_work_range(m_league_rank, m_league_end, m_chunk_size);
m_instance->reset_steal_target(m_team_size);
}
if (std::is_same<typename TeamPolicyInternal<
Kokkos::Threads, Properties...>::schedule_type::type,
Kokkos::Dynamic>::value) {
m_instance->barrier();
}
} else {
m_invalid_thread = 1;
}
}
ThreadsExecTeamMember()
: m_instance(nullptr),
m_team_base(nullptr),
m_team_shared(nullptr, 0),
m_team_shared_size(0),
m_team_size(1),
m_team_rank(0),
m_team_rank_rev(0),
m_league_size(1),
m_league_end(0),
m_league_rank(0),
m_chunk_size(0),
m_league_chunk_end(0),
m_invalid_thread(0),
m_team_alloc(0) {}
inline ThreadsInternal& threads_exec_team_base() const {
return m_team_base ? **m_team_base : *m_instance;
}
bool valid_static() const { return m_league_rank < m_league_end; }
void next_static() {
if (m_league_rank < m_league_end) {
// Make sure all stores are complete before entering the barrier
memory_fence();
team_barrier();
set_team_shared();
}
m_league_rank++;
}
bool valid_dynamic() {
if (m_invalid_thread) return false;
if ((m_league_rank < m_league_chunk_end) &&
(m_league_rank < m_league_size)) {
return true;
}
if (m_team_rank_rev == 0) {
m_team_base[0]->get_work_index(m_team_alloc);
}
team_barrier();
long work_index = m_team_base[0]->team_work_index();
m_league_rank = work_index * m_chunk_size;
m_league_chunk_end = (work_index + 1) * m_chunk_size;
if (m_league_chunk_end > m_league_size) m_league_chunk_end = m_league_size;
if ((m_league_rank >= 0) && (m_league_rank < m_league_chunk_end))
return true;
return false;
}
void next_dynamic() {
if (m_invalid_thread) return;
if (m_league_rank < m_league_chunk_end) {
// Make sure all stores are complete before entering the barrier
memory_fence();
team_barrier();
set_team_shared();
}
m_league_rank++;
}
void set_league_shmem(const int arg_league_rank, const int arg_league_size,
const size_t arg_shmem_size) {
m_league_rank = arg_league_rank;
m_league_size = arg_league_size;
m_team_shared_size = arg_shmem_size;
set_team_shared();
}
};
} /* namespace Impl */
} /* namespace Kokkos */
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Impl {
template <class... Properties>
class TeamPolicyInternal<Kokkos::Threads, Properties...>
: public PolicyTraits<Properties...> {
private:
int m_league_size;
int m_team_size;
int m_team_alloc;
int m_team_iter;
size_t m_team_scratch_size[2];
size_t m_thread_scratch_size[2];
int m_chunk_size;
bool m_tune_team_size;
bool m_tune_vector_length;
inline void init(const int league_size_request, const int team_size_request) {
const int pool_size = traits::execution_space::impl_thread_pool_size(0);
const int max_host_team_size = Impl::HostThreadTeamData::max_team_members;
const int team_max =
pool_size < max_host_team_size ? pool_size : max_host_team_size;
const int team_grain = traits::execution_space::impl_thread_pool_size(2);
m_league_size = league_size_request;
if (team_size_request > team_max)
Kokkos::abort("Kokkos::abort: Requested Team Size is too large!");
m_team_size = team_size_request < team_max ? team_size_request : team_max;
// Round team size up to a multiple of 'team_gain'
const int team_size_grain =
(m_team_size + team_grain - 1 <= 0)
? 1
: team_grain * ((m_team_size + team_grain - 1) / team_grain);
const int team_count = pool_size / team_size_grain;
// Constraint : pool_size = m_team_alloc * team_count
m_team_alloc = pool_size / team_count;
// Maxumum number of iterations each team will take:
m_team_iter = (m_league_size + team_count - 1) / team_count;
set_auto_chunk_size();
}
public:
//! Tag this class as a kokkos execution policy
//! Tag this class as a kokkos execution policy
using execution_policy = TeamPolicyInternal;
using traits = PolicyTraits<Properties...>;
const typename traits::execution_space& space() const {
static typename traits::execution_space m_space;
return m_space;
}
template <class ExecSpace, class... OtherProperties>
friend class TeamPolicyInternal;
template <class... OtherProperties>
TeamPolicyInternal(
const TeamPolicyInternal<Kokkos::Threads, OtherProperties...>& p) {
m_league_size = p.m_league_size;
m_team_size = p.m_team_size;
m_team_alloc = p.m_team_alloc;
m_team_iter = p.m_team_iter;
m_team_scratch_size[0] = p.m_team_scratch_size[0];
m_thread_scratch_size[0] = p.m_thread_scratch_size[0];
m_team_scratch_size[1] = p.m_team_scratch_size[1];
m_thread_scratch_size[1] = p.m_thread_scratch_size[1];
m_chunk_size = p.m_chunk_size;
m_tune_team_size = p.m_tune_team_size;
m_tune_vector_length = p.m_tune_vector_length;
}
//----------------------------------------
template <class FunctorType>
int team_size_max(const FunctorType&, const ParallelForTag&) const {
int pool_size = traits::execution_space::impl_thread_pool_size(1);
int max_host_team_size = Impl::HostThreadTeamData::max_team_members;
return pool_size < max_host_team_size ? pool_size : max_host_team_size;
}
template <class FunctorType>
int team_size_max(const FunctorType&, const ParallelReduceTag&) const {
int pool_size = traits::execution_space::impl_thread_pool_size(1);
int max_host_team_size = Impl::HostThreadTeamData::max_team_members;
return pool_size < max_host_team_size ? pool_size : max_host_team_size;
}
template <class FunctorType, class ReducerType>
inline int team_size_max(const FunctorType& f, const ReducerType&,
const ParallelReduceTag& t) const {
return team_size_max(f, t);
}
template <class FunctorType>
int team_size_recommended(const FunctorType&, const ParallelForTag&) const {
return traits::execution_space::impl_thread_pool_size(2);
}
template <class FunctorType>
int team_size_recommended(const FunctorType&,
const ParallelReduceTag&) const {
return traits::execution_space::impl_thread_pool_size(2);
}
template <class FunctorType, class ReducerType>
inline int team_size_recommended(const FunctorType& f, const ReducerType&,
const ParallelReduceTag& t) const {
return team_size_recommended(f, t);
}
inline static int vector_length_max() {
return 1024;
} // Use arbitrary large number, is meant as a vectorizable length
inline static int scratch_size_max(int level) {
return (level == 0 ? 1024 * 32 : // Roughly L1 size
20 * 1024 * 1024); // Limit to keep compatibility with CUDA
}
//----------------------------------------
inline int team_size() const { return m_team_size; }
inline int impl_vector_length() const { return 1; }
inline size_t team_alloc() const { return m_team_alloc; }
inline int league_size() const { return m_league_size; }
inline bool impl_auto_team_size() const { return m_tune_team_size; }
inline bool impl_auto_vector_length() const { return m_tune_vector_length; }
inline void impl_set_team_size(size_t size) { init(m_league_size, size); }
inline void impl_set_vector_length(size_t /**size*/) {}
inline size_t scratch_size(const int& level, int team_size_ = -1) const {
if (team_size_ < 0) team_size_ = m_team_size;
return m_team_scratch_size[level] +
team_size_ * m_thread_scratch_size[level];
}
inline int team_iter() const { return m_team_iter; }
/** \brief Specify league size, request team size */
TeamPolicyInternal(const typename traits::execution_space&,
int league_size_request, int team_size_request,
int vector_length_request = 1)
: m_league_size(0),
m_team_size(0),
m_team_alloc(0),
m_team_scratch_size{0, 0},
m_thread_scratch_size{0, 0},
m_chunk_size(0),
m_tune_team_size(false),
m_tune_vector_length(false) {
init(league_size_request, team_size_request);
(void)vector_length_request;
}
/** \brief Specify league size, request team size and vector length*/
TeamPolicyInternal(const typename traits::execution_space& space,
int league_size_request,
const Kokkos::AUTO_t& /* team_size_request */
,
const Kokkos::AUTO_t& /* vector_length_request */)
: TeamPolicyInternal(space, league_size_request, -1, -1) {}
/** \brief Specify league size, request team size*/
TeamPolicyInternal(const typename traits::execution_space& space,
int league_size_request,
const Kokkos::AUTO_t& /* team_size_request */
,
int vector_length_request)
: TeamPolicyInternal(space, league_size_request, -1,
vector_length_request) {}
/** \brief Specify league size and team size, request vector length*/
TeamPolicyInternal(const typename traits::execution_space& space,
int league_size_request, int team_size_request,
const Kokkos::AUTO_t& /* vector_length_request */)
: TeamPolicyInternal(space, league_size_request, team_size_request, -1) {}
TeamPolicyInternal(int league_size_request, int team_size_request,
int vector_length_request = 1)
: TeamPolicyInternal(typename traits::execution_space(),
league_size_request, team_size_request,
vector_length_request) {}
TeamPolicyInternal(int league_size_request,
const Kokkos::AUTO_t& /* team_size_request */
,
int vector_length_request = 1)
: TeamPolicyInternal(typename traits::execution_space(),
league_size_request, -1, vector_length_request) {}
/** \brief Specify league size, request team size and vector length*/
TeamPolicyInternal(int league_size_request,
const Kokkos::AUTO_t& /* team_size_request */
,
const Kokkos::AUTO_t& /* vector_length_request */)
: TeamPolicyInternal(typename traits::execution_space(),
league_size_request, -1, -1) {}
/** \brief Specify league size and team size, request vector length*/
TeamPolicyInternal(int league_size_request, int team_size_request,
const Kokkos::AUTO_t& /* vector_length_request */)
: TeamPolicyInternal(typename traits::execution_space(),
league_size_request, team_size_request, -1) {}
inline int chunk_size() const { return m_chunk_size; }
/** \brief set chunk_size to a discrete value*/
inline TeamPolicyInternal& set_chunk_size(
typename traits::index_type chunk_size_) {
m_chunk_size = chunk_size_;
return *this;
}
/** \brief set per team scratch size for a specific level of the scratch
* hierarchy */
inline TeamPolicyInternal& set_scratch_size(const int& level,
const PerTeamValue& per_team) {
m_team_scratch_size[level] = per_team.value;
return *this;
}
/** \brief set per thread scratch size for a specific level of the scratch
* hierarchy */
inline TeamPolicyInternal& set_scratch_size(
const int& level, const PerThreadValue& per_thread) {
m_thread_scratch_size[level] = per_thread.value;
return *this;
}
/** \brief set per thread and per team scratch size for a specific level of
* the scratch hierarchy */
inline TeamPolicyInternal& set_scratch_size(
const int& level, const PerTeamValue& per_team,
const PerThreadValue& per_thread) {
m_team_scratch_size[level] = per_team.value;
m_thread_scratch_size[level] = per_thread.value;
return *this;
}
private:
/** \brief finalize chunk_size if it was set to AUTO*/
inline void set_auto_chunk_size() {
int64_t concurrency = space().concurrency() / m_team_alloc;
if (concurrency == 0) concurrency = 1;
if (m_chunk_size > 0) {
if (!Impl::is_integral_power_of_two(m_chunk_size))
Kokkos::abort("TeamPolicy blocking granularity must be power of two");
}
int new_chunk_size = 1;
while (new_chunk_size * 100 * concurrency < m_league_size)
new_chunk_size *= 2;
if (new_chunk_size < 128) {
new_chunk_size = 1;
while ((new_chunk_size * 40 * concurrency < m_league_size) &&
(new_chunk_size < 128))
new_chunk_size *= 2;
}
m_chunk_size = new_chunk_size;
}
public:
using member_type = Impl::ThreadsExecTeamMember;
friend class Impl::ThreadsExecTeamMember;
};
} /*namespace Impl */
} /* namespace Kokkos */
namespace Kokkos {
template <typename iType>
KOKKOS_INLINE_FUNCTION
Impl::TeamThreadRangeBoundariesStruct<iType, Impl::ThreadsExecTeamMember>
TeamThreadRange(const Impl::ThreadsExecTeamMember& thread,
const iType& count) {
return Impl::TeamThreadRangeBoundariesStruct<iType,
Impl::ThreadsExecTeamMember>(
thread, count);
}
template <typename iType1, typename iType2>
KOKKOS_INLINE_FUNCTION Impl::TeamThreadRangeBoundariesStruct<
std::common_type_t<iType1, iType2>, Impl::ThreadsExecTeamMember>
TeamThreadRange(const Impl::ThreadsExecTeamMember& thread, const iType1& begin,
const iType2& end) {
using iType = std::common_type_t<iType1, iType2>;
return Impl::TeamThreadRangeBoundariesStruct<iType,
Impl::ThreadsExecTeamMember>(
thread, iType(begin), iType(end));
}
template <typename iType>
KOKKOS_INLINE_FUNCTION
Impl::TeamThreadRangeBoundariesStruct<iType, Impl::ThreadsExecTeamMember>
TeamVectorRange(const Impl::ThreadsExecTeamMember& thread,
const iType& count) {
return Impl::TeamThreadRangeBoundariesStruct<iType,
Impl::ThreadsExecTeamMember>(
thread, count);
}
template <typename iType1, typename iType2>
KOKKOS_INLINE_FUNCTION Impl::TeamThreadRangeBoundariesStruct<
std::common_type_t<iType1, iType2>, Impl::ThreadsExecTeamMember>
TeamVectorRange(const Impl::ThreadsExecTeamMember& thread, const iType1& begin,
const iType2& end) {
using iType = std::common_type_t<iType1, iType2>;
return Impl::TeamThreadRangeBoundariesStruct<iType,
Impl::ThreadsExecTeamMember>(
thread, iType(begin), iType(end));
}
template <typename iType>
KOKKOS_INLINE_FUNCTION
Impl::ThreadVectorRangeBoundariesStruct<iType, Impl::ThreadsExecTeamMember>
ThreadVectorRange(const Impl::ThreadsExecTeamMember& thread,
const iType& count) {
return Impl::ThreadVectorRangeBoundariesStruct<iType,
Impl::ThreadsExecTeamMember>(
thread, count);
}
template <typename iType1, typename iType2>
KOKKOS_INLINE_FUNCTION Impl::ThreadVectorRangeBoundariesStruct<
std::common_type_t<iType1, iType2>, Impl::ThreadsExecTeamMember>
ThreadVectorRange(const Impl::ThreadsExecTeamMember& thread,
const iType1& arg_begin, const iType2& arg_end) {
using iType = std::common_type_t<iType1, iType2>;
return Impl::ThreadVectorRangeBoundariesStruct<iType,
Impl::ThreadsExecTeamMember>(
thread, iType(arg_begin), iType(arg_end));
}
KOKKOS_INLINE_FUNCTION
Impl::ThreadSingleStruct<Impl::ThreadsExecTeamMember> PerTeam(
const Impl::ThreadsExecTeamMember& thread) {
return Impl::ThreadSingleStruct<Impl::ThreadsExecTeamMember>(thread);
}
KOKKOS_INLINE_FUNCTION
Impl::VectorSingleStruct<Impl::ThreadsExecTeamMember> PerThread(
const Impl::ThreadsExecTeamMember& thread) {
return Impl::VectorSingleStruct<Impl::ThreadsExecTeamMember>(thread);
}
} // namespace Kokkos
namespace Kokkos {
/** \brief Inter-thread parallel_for. Executes lambda(iType i) for each
* i=0..N-1.
*
* The range i=0..N-1 is mapped to all threads of the the calling thread team.
*/
template <typename iType, class Lambda>
KOKKOS_INLINE_FUNCTION void parallel_for(
const Impl::TeamThreadRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_boundaries,
const Lambda& lambda) {
for (iType i = loop_boundaries.start; i < loop_boundaries.end;
i += loop_boundaries.increment)
lambda(i);
}
/** \brief Inter-thread vector parallel_reduce. Executes lambda(iType i,
* ValueType & val) for each i=0..N-1.
*
* The range i=0..N-1 is mapped to all threads of the the calling thread team
* and a summation of val is performed and put into result.
*/
template <typename iType, class Lambda, typename ValueType>
KOKKOS_INLINE_FUNCTION std::enable_if_t<!Kokkos::is_reducer<ValueType>::value>
parallel_reduce(const Impl::TeamThreadRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_boundaries,
const Lambda& lambda, ValueType& result) {
ValueType intermediate;
Sum<ValueType> sum(intermediate);
sum.init(intermediate);
for (iType i = loop_boundaries.start; i < loop_boundaries.end;
i += loop_boundaries.increment) {
ValueType tmp = ValueType();
lambda(i, tmp);
intermediate += tmp;
}
loop_boundaries.thread.team_reduce(sum, intermediate);
result = sum.reference();
}
template <typename iType, class Lambda, typename ReducerType>
KOKKOS_INLINE_FUNCTION std::enable_if_t<Kokkos::is_reducer<ReducerType>::value>
parallel_reduce(const Impl::TeamThreadRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_boundaries,
const Lambda& lambda, const ReducerType& reducer) {
typename ReducerType::value_type value;
reducer.init(value);
for (iType i = loop_boundaries.start; i < loop_boundaries.end;
i += loop_boundaries.increment) {
lambda(i, value);
}
loop_boundaries.thread.team_reduce(reducer, value);
}
} // namespace Kokkos
namespace Kokkos {
/** \brief Intra-thread vector parallel_for. Executes lambda(iType i) for each
* i=0..N-1.
*
* The range i=0..N-1 is mapped to all vector lanes of the the calling thread.
*/
template <typename iType, class Lambda>
KOKKOS_INLINE_FUNCTION void parallel_for(
const Impl::ThreadVectorRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_boundaries,
const Lambda& lambda) {
#ifdef KOKKOS_ENABLE_PRAGMA_IVDEP
#pragma ivdep
#endif
for (iType i = loop_boundaries.start; i < loop_boundaries.end;
i += loop_boundaries.increment)
lambda(i);
}
/** \brief Intra-thread vector parallel_reduce. Executes lambda(iType i,
* ValueType & val) for each i=0..N-1.
*
* The range i=0..N-1 is mapped to all vector lanes of the the calling thread
* and a summation of val is performed and put into result.
*/
template <typename iType, class Lambda, typename ValueType>
KOKKOS_INLINE_FUNCTION std::enable_if_t<!Kokkos::is_reducer<ValueType>::value>
parallel_reduce(const Impl::ThreadVectorRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_boundaries,
const Lambda& lambda, ValueType& result) {
result = ValueType();
for (iType i = loop_boundaries.start; i < loop_boundaries.end;
i += loop_boundaries.increment) {
lambda(i, result);
}
}
template <typename iType, class Lambda, typename ReducerType>
KOKKOS_INLINE_FUNCTION std::enable_if_t<Kokkos::is_reducer<ReducerType>::value>
parallel_reduce(const Impl::ThreadVectorRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_boundaries,
const Lambda& lambda, const ReducerType& reducer) {
reducer.init(reducer.reference());
for (iType i = loop_boundaries.start; i < loop_boundaries.end;
i += loop_boundaries.increment) {
lambda(i, reducer.reference());
}
}
/** \brief Inter-thread parallel exclusive prefix sum. Executes
* lambda(iType i, ValueType & val, bool final) for each i=0..N-1.
*
*/
template <typename iType, class FunctorType, typename ValueType>
KOKKOS_INLINE_FUNCTION void parallel_scan(
const Impl::TeamThreadRangeBoundariesStruct<
iType, Impl::ThreadsExecTeamMember>& loop_bounds,
const FunctorType& lambda, ValueType& return_val) {
// Extract ValueType from the Closure
using closure_value_type = typename Kokkos::Impl::FunctorAnalysis<
Kokkos::Impl::FunctorPatternInterface::SCAN, void, FunctorType,
void>::value_type;
static_assert(std::is_same_v<closure_value_type, ValueType>,
"Non-matching value types of closure and return type");
auto scan_val = ValueType{};
// Intra-member scan
#ifdef KOKKOS_ENABLE_PRAGMA_IVDEP
#pragma ivdep
#endif
for (iType i = loop_bounds.start; i < loop_bounds.end;
i += loop_bounds.increment) {
lambda(i, scan_val, false);
}
auto& team_member = loop_bounds.thread;