constantin
/
bachelor-thesis
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
Browse Source

add optimal dsa caching mode

master
Constantin Fürst 11 months ago
parent
f16d67f67e
commit
2e0f637363
2 changed files with 84 additions and 26 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Unified View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 26
      qdp_project/src/benchmark/MAX_benchmark.cpp
  2. 58
      qdp_project/src/benchmark/pipelines/MAX_scan_filter_pipe.h

26
qdp_project/src/benchmark/MAX_benchmark.cpp
View File

@ -70,17 +70,18 @@ base_t sum_check_complex(base_t compare_value_a, base_t compare_value_b, base_t*
enum class ExecMode { enum class ExecMode {
DramBaseline, DramBaseline,
HbmPeak, HbmPeak,
HbmPrefetch
HbmPrefetch,
HbmPrefetchOpt
}; };
int main(int argc, char** argv) { int main(int argc, char** argv) {
constexpr ExecMode mode = ExecMode::HbmPrefetch;
constexpr ExecMode mode = ExecMode::HbmPrefetchOpt;
constexpr size_t workload_b = 4_GiB; constexpr size_t workload_b = 4_GiB;
constexpr base_t compare_value_a = 50; constexpr base_t compare_value_a = 50;
constexpr base_t compare_value_b = 42; constexpr base_t compare_value_b = 42;
constexpr size_t chunk_size = 256_MiB;
constexpr size_t chunk_size = 64_MiB;
// thread count is 12 here but as the default measurement uses 6 // thread count is 12 here but as the default measurement uses 6
// we must restrict the core assignment of these 12 threads to // we must restrict the core assignment of these 12 threads to
@ -99,6 +100,11 @@ int main(int argc, char** argv) {
tc_copy = 8; tc_copy = 8;
tc_agg = 8; tc_agg = 8;
} }
else if constexpr (mode == ExecMode::HbmPrefetchOpt) {
tc_filter = 0;
tc_copy = 0;
tc_agg = 1;
}
else { else {
tc_filter = 8; tc_filter = 8;
tc_copy = 0; tc_copy = 0;
@ -127,6 +133,9 @@ int main(int argc, char** argv) {
else if constexpr (mode == ExecMode::DramBaseline) { else if constexpr (mode == ExecMode::DramBaseline) {
mode_string = "DramBaseline"; mode_string = "DramBaseline";
} }
else if constexpr (mode == ExecMode::HbmPrefetchOpt) {
mode_string = "HbmDsaPrefetchOpt";
}
else { else {
mode_string = "Unknown"; mode_string = "Unknown";
} }
@ -166,7 +175,7 @@ int main(int argc, char** argv) {
std::promise<void> p; std::promise<void> p;
std::shared_future<void> ready_future(p.get_future()); std::shared_future<void> ready_future(p.get_future());
Query_Wrapper<base_t, mode == ExecMode::HbmPrefetch> qw (
Query_Wrapper<base_t, mode == ExecMode::HbmPrefetch || mode == ExecMode::HbmPrefetchOpt> qw (
&ready_future, workload_b, chunk_size, &ready_future, workload_b, chunk_size,
data_a, data_b, results, tc_filter, tc_copy, data_a, data_b, results, tc_filter, tc_copy,
tc_agg,compare_value_a, compare_value_b tc_agg,compare_value_a, compare_value_b
@ -178,12 +187,20 @@ int main(int argc, char** argv) {
auto filter_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.scan_a(gid, gcnt, tid); }; auto filter_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.scan_a(gid, gcnt, tid); };
auto copy_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.scan_b(gid, gcnt, tid); }; auto copy_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.scan_b(gid, gcnt, tid); };
auto aggregation_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.aggr_j(gid, gcnt, tid); }; auto aggregation_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.aggr_j(gid, gcnt, tid); };
auto combined_lambda = [&qw](uint32_t gid, uint32_t gcnt, uint32_t tid) { qw.combined(gid, gcnt, tid); };
std::vector<std::thread> filter_pool; std::vector<std::thread> filter_pool;
std::vector<std::thread> copy_pool; std::vector<std::thread> copy_pool;
std::vector<std::thread> agg_pool; std::vector<std::thread> agg_pool;
std::vector<std::thread> combined_pool;
for(uint32_t gid = 0; gid < THREAD_GROUP_MULTIPLIER; ++gid) { for(uint32_t gid = 0; gid < THREAD_GROUP_MULTIPLIER; ++gid) {
if constexpr (mode == ExecMode::HbmPrefetchOpt) {
for(uint32_t tid = 0; tid < tc_agg; ++tid) {
agg_pool.emplace_back(combined_lambda, gid, THREAD_GROUP_MULTIPLIER, tid);
}
}
else {
for(uint32_t tid = 0; tid < tc_filter; ++tid) { for(uint32_t tid = 0; tid < tc_filter; ++tid) {
filter_pool.emplace_back(filter_lambda, gid, THREAD_GROUP_MULTIPLIER, tid); filter_pool.emplace_back(filter_lambda, gid, THREAD_GROUP_MULTIPLIER, tid);
} }
@ -197,6 +214,7 @@ int main(int argc, char** argv) {
agg_pool.emplace_back(aggregation_lambda, gid, THREAD_GROUP_MULTIPLIER, tid); agg_pool.emplace_back(aggregation_lambda, gid, THREAD_GROUP_MULTIPLIER, tid);
} }
} }
}
auto start = std::chrono::steady_clock::now(); auto start = std::chrono::steady_clock::now();
p.set_value(); p.set_value();

58
qdp_project/src/benchmark/pipelines/MAX_scan_filter_pipe.h
View File

@ -246,7 +246,6 @@ public:
for(uint32_t i = 0; i < runs; ++i) { for(uint32_t i = 0; i < runs; ++i) {
trt->start_timer(1, tid * gcnt + gid); trt->start_timer(1, tid * gcnt + gid);
pvc->start("scan_b", tid * gcnt + gid);
// calculate pointers // calculate pointers
size_t chunk_id = gid + gcnt * i; size_t chunk_id = gid + gcnt * i;
@ -257,15 +256,59 @@ public:
data->WaitOnCompletion(); data->WaitOnCompletion();
} }
pvc->stop("scan_b", tid * gcnt + gid);
trt->stop_timer(1, tid * gcnt + gid); trt->stop_timer(1, tid * gcnt + gid);
}
(*(*sync_barrier)[barrier_idx]).arrive_and_drop();
}
void combined(size_t gid, size_t gcnt, size_t tid) {
size_t tcnt = thread_count_ag;
assert(chunk_size_w % tcnt == 0);
assert(chunk_size_w % 16 == 0);
assert(chunk_size_w % tcnt * 16 == 0);
__m512i aggregator = aggregation::OP::zero();
uint32_t runs = chunk_cnt / gcnt + (chunk_cnt % gcnt > gid);
// wait till everyone can start
ready_future->wait();
for(uint32_t i = 0; i < runs; ++i) {
// calculate pointers and initialize local storage
size_t chunk_id = gid + gcnt * i;
base_t* chunk_ptr = get_sub_chunk_ptr(data_b, chunk_id, chunk_size_w, tid, tcnt);
std::unique_ptr<dsacache::CacheData> data;
bt->timed_wait(*(*sync_barrier)[barrier_idx], 1, tid * gcnt + gid);
// perform "prefetch_b"
if constexpr (caching) (*(*sync_barrier)[barrier_idx]).arrive_and_drop();
{
data = cache_.Access(reinterpret_cast<uint8_t *>(chunk_ptr), chunk_size_b / tcnt);
}
// perform operation "scan_a"
{
uint16_t* mask_ptr = get_sub_mask_ptr (mask_a, chunk_id, chunk_size_w, tid, tcnt);
filter::apply_same(mask_ptr, nullptr, chunk_ptr, cmp_a, chunk_size_b / tcnt);
}
// wait on caching task
data->WaitOnCompletion();
base_t* data_ptr = reinterpret_cast<base_t*>(data->GetDataLocation());
// continue with operation "aggr_j"
{
uint16_t* mask_ptr_a = get_sub_mask_ptr (mask_a, chunk_id, chunk_size_w, tid, tcnt);
base_t tmp = _mm512_reduce_add_epi64(aggregator);
aggregator = aggregation::apply_masked(aggregator, data_ptr, mask_ptr_a, chunk_size_b / tcnt);
}
} }
if constexpr (!caching) (*(*sync_barrier)[barrier_idx]).arrive_and_drop();
aggregation::happly(dest + (tid * gcnt + gid), aggregator);
} }
void scan_a(size_t gid, size_t gcnt, size_t tid) { void scan_a(size_t gid, size_t gcnt, size_t tid) {
@ -294,11 +337,8 @@ public:
pvc->stop("scan_a", tid * gcnt + gid); pvc->stop("scan_a", tid * gcnt + gid);
trt->stop_timer(0, tid * gcnt + gid); trt->stop_timer(0, tid * gcnt + gid);
bt->timed_wait(*(*sync_barrier)[barrier_idx], 0, tid * gcnt + gid); bt->timed_wait(*(*sync_barrier)[barrier_idx], 0, tid * gcnt + gid);
if constexpr (caching) (*(*sync_barrier)[barrier_idx]).arrive_and_drop();
} }
if constexpr (!caching) (*(*sync_barrier)[barrier_idx]).arrive_and_drop();
(*(*sync_barrier)[barrier_idx]).arrive_and_drop();
} }
void aggr_j(size_t gid, size_t gcnt, size_t tid) { void aggr_j(size_t gid, size_t gcnt, size_t tid) {

Write Preview
Loading…
Cancel
Save