-
Notifications
You must be signed in to change notification settings - Fork 88
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Add static_multimap_ref::for_each (#599)
- Loading branch information
1 parent
4454de4
commit 9ef3535
Showing
3 changed files
with
285 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,173 @@ | ||
/* | ||
* Copyright (c) 2024, NVIDIA 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 <test_utils.hpp> | ||
|
||
#include <cuco/detail/utility/cuda.hpp> | ||
#include <cuco/static_multimap.cuh> | ||
|
||
#include <cuda/atomic> | ||
#include <cuda/functional> | ||
#include <thrust/iterator/counting_iterator.h> | ||
#include <thrust/iterator/transform_iterator.h> | ||
|
||
#include <cooperative_groups.h> | ||
#include <cooperative_groups/reduce.h> | ||
|
||
#include <catch2/catch_template_test_macros.hpp> | ||
|
||
#include <cstddef> | ||
|
||
template <class Ref, class InputIt, class AtomicErrorCounter> | ||
CUCO_KERNEL void for_each_check_scalar(Ref ref, | ||
InputIt first, | ||
std::size_t n, | ||
std::size_t multiplicity, | ||
AtomicErrorCounter* error_counter) | ||
{ | ||
static_assert(Ref::cg_size == 1, "Scalar test must have cg_size==1"); | ||
auto const loop_stride = cuco::detail::grid_stride(); | ||
auto idx = cuco::detail::global_thread_id(); | ||
|
||
while (idx < n) { | ||
auto const& key = *(first + idx); | ||
std::size_t matches = 0; | ||
ref.for_each(key, [&] __device__(auto const slot) { | ||
auto const [slot_key, slot_value] = slot; | ||
if (ref.key_eq()(key, slot_key) and ref.key_eq()(slot_key, slot_value)) { matches++; } | ||
}); | ||
if (matches != multiplicity) { error_counter->fetch_add(1, cuda::memory_order_relaxed); } | ||
idx += loop_stride; | ||
} | ||
} | ||
|
||
template <bool Synced, class Ref, class InputIt, class AtomicErrorCounter> | ||
CUCO_KERNEL void for_each_check_cooperative(Ref ref, | ||
InputIt first, | ||
std::size_t n, | ||
std::size_t multiplicity, | ||
AtomicErrorCounter* error_counter) | ||
{ | ||
auto const loop_stride = cuco::detail::grid_stride() / Ref::cg_size; | ||
auto idx = cuco::detail::global_thread_id() / Ref::cg_size; | ||
; | ||
|
||
while (idx < n) { | ||
auto const tile = | ||
cooperative_groups::tiled_partition<Ref::cg_size>(cooperative_groups::this_thread_block()); | ||
auto const& key = *(first + idx); | ||
std::size_t thread_matches = 0; | ||
if constexpr (Synced) { | ||
ref.for_each( | ||
tile, | ||
key, | ||
[&] __device__(auto const slot) { | ||
auto const [slot_key, slot_value] = slot; | ||
if (ref.key_eq()(key, slot_key) and ref.key_eq()(slot_key, slot_value)) { | ||
thread_matches++; | ||
} | ||
}, | ||
[] __device__(auto const& group) { group.sync(); }); | ||
} else { | ||
ref.for_each(tile, key, [&] __device__(auto const slot) { | ||
auto const [slot_key, slot_value] = slot; | ||
if (ref.key_eq()(key, slot_key) and ref.key_eq()(slot_key, slot_value)) { | ||
thread_matches++; | ||
} | ||
}); | ||
} | ||
auto const tile_matches = | ||
cooperative_groups::reduce(tile, thread_matches, cooperative_groups::plus<std::size_t>()); | ||
if (tile_matches != multiplicity and tile.thread_rank() == 0) { | ||
error_counter->fetch_add(1, cuda::memory_order_relaxed); | ||
} | ||
idx += loop_stride; | ||
} | ||
} | ||
|
||
TEMPLATE_TEST_CASE_SIG( | ||
"static_multimap for_each tests", | ||
"", | ||
((typename Key, cuco::test::probe_sequence Probe, int CGSize), Key, Probe, CGSize), | ||
(int32_t, cuco::test::probe_sequence::double_hashing, 1), | ||
(int32_t, cuco::test::probe_sequence::double_hashing, 2), | ||
(int64_t, cuco::test::probe_sequence::double_hashing, 1), | ||
(int64_t, cuco::test::probe_sequence::double_hashing, 2), | ||
(int32_t, cuco::test::probe_sequence::linear_probing, 1), | ||
(int32_t, cuco::test::probe_sequence::linear_probing, 2), | ||
(int64_t, cuco::test::probe_sequence::linear_probing, 1), | ||
(int64_t, cuco::test::probe_sequence::linear_probing, 2)) | ||
{ | ||
constexpr size_t num_unique_keys{400}; | ||
constexpr size_t key_multiplicity{5}; | ||
constexpr size_t num_keys{num_unique_keys * key_multiplicity}; | ||
|
||
using probe = std::conditional_t<Probe == cuco::test::probe_sequence::linear_probing, | ||
cuco::linear_probing<CGSize, cuco::default_hash_function<Key>>, | ||
cuco::double_hashing<CGSize, cuco::default_hash_function<Key>>>; | ||
|
||
auto set = cuco::experimental::static_multimap{num_keys, | ||
cuco::empty_key<Key>{-1}, | ||
cuco::empty_value<Key>{-1}, | ||
{}, | ||
probe{}, | ||
{}, | ||
cuco::storage<2>{}}; | ||
|
||
auto unique_keys_begin = thrust::counting_iterator<Key>(0); | ||
auto gen_duplicate_keys = cuda::proclaim_return_type<Key>( | ||
[] __device__(auto const& k) { return static_cast<Key>(k % num_unique_keys); }); | ||
auto keys_begin = thrust::make_transform_iterator(unique_keys_begin, gen_duplicate_keys); | ||
|
||
auto const pairs_begin = thrust::make_transform_iterator( | ||
keys_begin, cuda::proclaim_return_type<cuco::pair<Key, Key>>([] __device__(auto i) { | ||
return cuco::pair<Key, Key>{i, i}; | ||
})); | ||
|
||
set.insert(pairs_begin, pairs_begin + num_keys); | ||
|
||
using error_counter_type = cuda::atomic<std::size_t, cuda::thread_scope_system>; | ||
error_counter_type* error_counter; | ||
CUCO_CUDA_TRY(cudaMallocHost(&error_counter, sizeof(error_counter_type))); | ||
new (error_counter) error_counter_type{0}; | ||
|
||
auto const grid_size = cuco::detail::grid_size(num_unique_keys, CGSize); | ||
auto const block_size = cuco::detail::default_block_size(); | ||
|
||
// test scalar for_each | ||
if constexpr (CGSize == 1) { | ||
for_each_check_scalar<<<grid_size, block_size>>>( | ||
set.ref(cuco::for_each), unique_keys_begin, num_unique_keys, key_multiplicity, error_counter); | ||
CUCO_CUDA_TRY(cudaDeviceSynchronize()); | ||
REQUIRE(error_counter->load() == 0); | ||
error_counter->store(0); | ||
} | ||
|
||
// test CG for_each | ||
for_each_check_cooperative<false><<<grid_size, block_size>>>( | ||
set.ref(cuco::for_each), unique_keys_begin, num_unique_keys, key_multiplicity, error_counter); | ||
CUCO_CUDA_TRY(cudaDeviceSynchronize()); | ||
REQUIRE(error_counter->load() == 0); | ||
error_counter->store(0); | ||
|
||
// test synchronized CG for_each | ||
for_each_check_cooperative<true><<<grid_size, block_size>>>( | ||
set.ref(cuco::for_each), unique_keys_begin, num_unique_keys, key_multiplicity, error_counter); | ||
CUCO_CUDA_TRY(cudaDeviceSynchronize()); | ||
REQUIRE(error_counter->load() == 0); | ||
|
||
CUCO_CUDA_TRY(cudaFreeHost(error_counter)); | ||
} |