feat(SpectralSolver): Spectral Solver now works in a limited fashion
Major work on spectral solver, can now evolve up to about a year. At that point we likely need to impliment repartitioning logic to stabalize the network or some other scheme based on the jacobian structure
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@@ -19,15 +19,7 @@
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#include <clocale>
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#include "gridfire/reaction/reaclib.h"
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#include <omp.h>
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unsigned long get_thread_id() {
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return static_cast<unsigned long>(omp_get_thread_num());
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}
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bool in_parallel() {
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return omp_in_parallel() != 0;
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}
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#include "gridfire/utils/gf_omp.h"
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gridfire::NetIn init(const double temp, const double rho, const double tMax) {
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std::setlocale(LC_ALL, "");
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@@ -55,6 +47,7 @@ gridfire::NetIn init(const double temp, const double rho, const double tMax) {
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int main() {
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GF_PAR_INIT()
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using namespace gridfire;
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constexpr size_t breaks = 1;
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@@ -108,15 +101,6 @@ int main() {
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std::println("Total Time for {} runs: {:.6f} seconds", runs, elapsed.count());
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std::println("Final H-1 Abundances Serial: {}", serial_results[0].composition.getMolarAbundance(fourdst::atomic::H_1));
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CppAD::thread_alloc::parallel_setup(
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static_cast<size_t>(omp_get_max_threads()), // Max threads
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[]() -> bool { return in_parallel(); }, // Function to get thread ID
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[]() -> size_t { return get_thread_id(); } // Function to check parallel state
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);
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// OPTIONAL: Prevent CppAD from returning memory to the system
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// during execution to reduce overhead (can speed up tight loops)
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CppAD::thread_alloc::hold_memory(true);
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std::array<NetOut, runs> parallelResults;
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std::array<std::chrono::duration<double>, runs> setupTimes;
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@@ -129,7 +113,8 @@ int main() {
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// Parallel runs
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startTime = std::chrono::high_resolution_clock::now();
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#pragma omp parallel for
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GF_OMP(parallel for,)
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for (size_t i = 0; i < runs; ++i) {
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auto start_setup_time = std::chrono::high_resolution_clock::now();
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solver::CVODESolverStrategy solver(construct.engine, *workspaces[i]);
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