Add tentative DatabaseCommunicator
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include/atrip/DatabaseCommunicator.hpp
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20
include/atrip/DatabaseCommunicator.hpp
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@ -0,0 +1,20 @@
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#pragma once
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#include <atrip/Utils.hpp>
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#include <atrip/Equations.hpp>
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#include <atrip/SliceUnion.hpp>
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#include <atrip/Unions.hpp>
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namespace atrip {
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template <typename F>
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using Unions = std::vector<SliceUnion<F>*>;
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template <typename F>
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typename Slice<F>::Database
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naiveDatabase(Unions<F> &unions,
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size_t nv,
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size_t np,
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size_t iteration,
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MPI_Comm const& c);
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} // namespace atrip
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@ -7,7 +7,7 @@ AM_CPPFLAGS = $(CTF_CPPFLAGS)
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lib_LIBRARIES = libatrip.a
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libatrip_a_CPPFLAGS = -I$(top_srcdir)/include/
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libatrip_a_SOURCES = ./atrip/Blas.cxx ./atrip/Tuples.cxx
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libatrip_a_SOURCES = ./atrip/Blas.cxx ./atrip/Tuples.cxx ./atrip/DatabaseCommunicator.cxx
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NVCC_FILES = ./atrip/Equations.cxx ./atrip/Complex.cxx ./atrip/Atrip.cxx
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if WITH_CUDA
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@ -21,6 +21,7 @@
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#include <atrip/SliceUnion.hpp>
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#include <atrip/Unions.hpp>
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#include <atrip/Checkpoint.hpp>
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#include <atrip/DatabaseCommunicator.hpp>
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using namespace atrip;
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#if defined(HAVE_CUDA)
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@ -299,9 +300,16 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
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using Database = typename Slice<F>::Database;
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auto communicateDatabase
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= [ &unions
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, &in
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, Nv
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, np
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] (ABCTuple const& abc, MPI_Comm const& c) -> Database {
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] (ABCTuple const& abc, MPI_Comm const& c, size_t iteration) -> Database {
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if (in.tuplesDistribution == Atrip::Input<F>::TuplesDistribution::NAIVE) {
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return naiveDatabase<F>(unions, Nv, np, iteration, c);
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} else {
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WITH_CHRONO("db:comm:type:do",
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auto MPI_LDB_ELEMENT = Slice<F>::mpi::localDatabaseElement();
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)
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@ -334,6 +342,8 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
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WITH_CHRONO("db:comm:type:free", MPI_Type_free(&MPI_LDB_ELEMENT);)
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return db;
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}
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};
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auto doIOPhase
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@ -564,7 +574,7 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
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// COMM FIRST DATABASE ================================================{{{1
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if (i == first_iteration) {
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WITH_RANK << "__first__:first database ............ \n";
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const auto db = communicateDatabase(abc, universe);
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const auto db = communicateDatabase(abc, universe, i);
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WITH_RANK << "__first__:first database communicated \n";
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WITH_RANK << "__first__:first database io phase \n";
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doIOPhase(db);
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@ -579,7 +589,7 @@ Atrip::Output Atrip::run(Atrip::Input<F> const& in) {
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if (abcNext) {
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WITH_RANK << "__comm__:" << iteration << "th communicating database\n";
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WITH_CHRONO("db:comm",
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const auto db = communicateDatabase(*abcNext, universe);
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const auto db = communicateDatabase(*abcNext, universe, i);
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)
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WITH_CHRONO("db:io",
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doIOPhase(db);
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167
src/atrip/DatabaseCommunicator.cxx
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167
src/atrip/DatabaseCommunicator.cxx
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#include <atrip/DatabaseCommunicator.hpp>
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#include <atrip/Complex.hpp>
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namespace atrip {
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static
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ABCTuples get_nth_naive_tuples(size_t Nv, size_t np) {
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const size_t
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// total number of tuples for the problem
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n = Nv * (Nv + 1) * (Nv + 2) / 6 - Nv
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// all ranks should have the same number of tuples_per_rank
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, tuples_per_rank = n / np + size_t(n % np != 0)
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;
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ABCTuples result(np);
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for (size_t a(0), g(0); a < Nv; a++)
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for (size_t b(a); b < Nv; b++)
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for (size_t c(b); c < Nv; c++){
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if ( a == b && b == c ) continue;
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for (size_t rank = 0; rank < np; rank++) {
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const size_t
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// start index for the global tuples list
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start = tuples_per_rank * rank
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// end index for the global tuples list
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, end = tuples_per_rank * (rank + 1)
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;
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if ( start <= g && g < end) result[rank] = {a, b, c};
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}
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g++;
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}
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return result;
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}
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template <typename F>
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static
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typename Slice<F>::LocalDatabase
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build_local_database_fake(ABCTuple const& abc_prev,
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ABCTuple const& abc,
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size_t rank,
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SliceUnion<F>* u) {
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typename Slice<F>::LocalDatabase result;
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// vector of type x tuple
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auto const needed = u->neededSlices(abc);
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auto const needed_prev = u->neededSlices(abc_prev);
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for (auto const& pair: needed) {
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auto const type = pair.first;
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auto const tuple = pair.second;
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auto const from = u->rankMap.find(abc, type);
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// Try to find in the previously needed slices
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// one that exactly matches the tuple.
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// Not necessarily has to match the type.
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//
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// If we find it, then it means that the fake rank
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// will mark it as recycled. This covers
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// the finding of Ready slices and Recycled slices.
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{
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auto const& it
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= std::find_if(needed_prev.begin(), needed_prev.end(),
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[&tuple, &type](typename Slice<F>::Ty_x_Tu const& o) {
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return o.second == tuple;
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});
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if (it != needed_prev.end()) {
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typename Slice<F>::Info info;
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info.tuple = tuple;
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info.type = type;
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info.from = from;
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info.state = Slice<F>::Recycled;
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result.push_back({u->name, info});
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continue;
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}
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}
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{
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typename Slice<F>::Info info;
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info.type = type;
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info.tuple = tuple;
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info.from = from;
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// Handle self sufficiency
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info.state = rank == from.rank
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? Slice<F>::SelfSufficient
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: Slice<F>::Fetch
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;
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result.push_back({u->name, info});
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continue;
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}
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}
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return result;
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}
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template <typename F>
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typename Slice<F>::Database
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naiveDatabase(Unions<F> &unions,
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size_t nv,
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size_t np,
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size_t iteration,
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MPI_Comm const& c) {
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using Database = typename Slice<F>::Database;
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Database db;
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const auto tuples = get_nth_naive_tuples(nv, np);
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const auto prev_tuples = get_nth_naive_tuples(nv, np);
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for (size_t rank = 0; rank < np; rank++) {
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auto abc = tuples[rank];
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typename Slice<F>::LocalDatabase ldb;
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for (auto const& tensor: unions) {
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if (rank == Atrip::rank) {
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auto const& tensorDb = tensor->buildLocalDatabase(abc);
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ldb.insert(ldb.end(), tensorDb.begin(), tensorDb.end());
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} else {
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auto const& tensorDb
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= build_local_database_fake(prev_tuples[rank],
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abc,
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rank,
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tensor);
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ldb.insert(ldb.end(), tensorDb.begin(), tensorDb.end());
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}
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}
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db.insert(db.end(), ldb.begin(), ldb.end());
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}
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return db;
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}
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template
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typename Slice<double>::Database
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naiveDatabase<double>(Unions<double> &unions,
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size_t nv,
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size_t np,
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size_t iteration,
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MPI_Comm const& c);
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template
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typename Slice<Complex>::Database
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naiveDatabase<Complex>(Unions<Complex> &unions,
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size_t nv,
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size_t np,
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size_t iteration,
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MPI_Comm const& c);
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} // namespace atrip
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