220 lines
6.0 KiB
C++
220 lines
6.0 KiB
C++
// Copyright (c) 2010-2022, Lawrence Livermore National Security, LLC. Produced
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// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
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// LICENSE and NOTICE for details. LLNL-CODE-806117.
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//
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// This file is part of the MFEM library. For more information and source code
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// availability visit https://mfem.org.
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//
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// MFEM is free software; you can redistribute it and/or modify it under the
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// terms of the BSD-3 license. We welcome feedback and contributions, see file
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// CONTRIBUTING.md for details.
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#include "bench.hpp"
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#ifdef MFEM_USE_BENCHMARK
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/*
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This benchmark contains the implementation of the CEED's bake-off problems:
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high-order kernels/benchmarks designed to test and compare the performance
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of high-order codes.
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See: ceed.exascaleproject.org/bps and github.com/CEED/benchmarks
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*/
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struct BakeOff
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{
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const int N, p, q, dim = 3;
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Mesh mesh;
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H1_FECollection fec;
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FiniteElementSpace fes;
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const Geometry::Type geom_type;
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IntegrationRules IntRulesGLL;
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const IntegrationRule *irGLL;
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const IntegrationRule *ir;
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ConstantCoefficient one;
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const int dofs;
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GridFunction x,y;
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BilinearForm a;
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double mdofs;
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BakeOff(int p, int vdim, bool GLL):
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N(Device::IsEnabled()?32:8),
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p(p),
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q(2*p + (GLL?-1:3)),
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mesh(Mesh::MakeCartesian3D(N,N,N,Element::HEXAHEDRON)),
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fec(p, dim, BasisType::GaussLobatto),
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fes(&mesh, &fec, vdim),
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geom_type(fes.GetFE(0)->GetGeomType()),
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IntRulesGLL(0, Quadrature1D::GaussLobatto),
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irGLL(&IntRulesGLL.Get(geom_type, q)),
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ir(&IntRules.Get(geom_type, q)),
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one(1.0),
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dofs(fes.GetTrueVSize()),
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x(&fes),
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y(&fes),
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a(&fes),
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mdofs(0.0) {}
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virtual void benchmark() = 0;
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double SumMdofs() const { return mdofs; }
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double MDofs() const { return 1e-6 * dofs; }
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};
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/// Bake-off Problems (BPs)
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template<typename BFI, int VDIM = 1, bool GLL = false>
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struct Problem: public BakeOff
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{
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const double rtol = 1e-12;
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const int max_it = 32;
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const int print_lvl = -1;
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Array<int> ess_tdof_list;
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Array<int> ess_bdr;
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LinearForm b;
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OperatorPtr A;
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Vector B, X;
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CGSolver cg;
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Problem(int order):
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BakeOff(order,VDIM,GLL),
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ess_bdr(mesh.bdr_attributes.Max()),
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b(&fes)
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{
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ess_bdr = 1;
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fes.GetEssentialTrueDofs(ess_bdr,ess_tdof_list);
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b.AddDomainIntegrator(new DomainLFIntegrator(one));
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b.Assemble();
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a.SetAssemblyLevel(AssemblyLevel::PARTIAL);
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a.AddDomainIntegrator(new BFI(one, GLL?irGLL:ir));
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a.Assemble();
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a.Mult(x, y);
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a.FormLinearSystem(ess_tdof_list, x, b, A, X, B);
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cg.SetRelTol(rtol);
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cg.SetOperator(*A);
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cg.SetMaxIter(max_it);
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cg.SetPrintLevel(print_lvl);
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cg.iterative_mode = false;
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MFEM_DEVICE_SYNC;
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}
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void benchmark() override
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{
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cg.Mult(B,X);
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MFEM_DEVICE_SYNC;
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mdofs += MDofs() * cg.GetNumIterations();
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}
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};
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/// Bake-off Problems (BPs)
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#define BakeOff_Problem(i,Kernel,VDIM,p_eq_q)\
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static void BP##i(bm::State &state){\
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Problem<Kernel##Integrator,VDIM,p_eq_q> ker(state.range(0));\
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while (state.KeepRunning()) { ker.benchmark(); }\
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state.counters["MDof/s"] = bm::Counter(ker.SumMdofs(), bm::Counter::kIsRate);}\
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BENCHMARK(BP##i)->DenseRange(1,6)->Unit(bm::kMillisecond);
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/// BP1: scalar PCG with mass matrix, q=p+2
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BakeOff_Problem(1,Mass,1,false)
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/// BP2: vector PCG with mass matrix, q=p+2
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BakeOff_Problem(2,VectorMass,3,false)
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/// BP3: scalar PCG with stiffness matrix, q=p+2
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BakeOff_Problem(3,Diffusion,1,false)
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/// BP4: vector PCG with stiffness matrix, q=p+2
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BakeOff_Problem(4,VectorDiffusion,3,false)
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/// BP5: scalar PCG with stiffness matrix, q=p+1
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BakeOff_Problem(5,Diffusion,1,true)
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/// BP6: vector PCG with stiffness matrix, q=p+1
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BakeOff_Problem(6,VectorDiffusion,3,true)
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/// Bake-off Kernels (BKs)
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template <typename BFI, int VDIM = 1, bool GLL = false>
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struct Kernel: public BakeOff
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{
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GridFunction y;
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Kernel(int order): BakeOff(order,VDIM,GLL), y(&fes)
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{
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x.Randomize(1);
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a.SetAssemblyLevel(AssemblyLevel::PARTIAL);
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a.AddDomainIntegrator(new BFI(one, GLL?irGLL:ir));
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a.Assemble();
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a.Mult(x, y);
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MFEM_DEVICE_SYNC;
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}
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void benchmark() override
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{
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a.Mult(x, y);
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MFEM_DEVICE_SYNC;
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mdofs += MDofs();
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}
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};
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/// Generic CEED BKi
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#define BakeOff_Kernel(i,KER,VDIM,GLL)\
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static void BK##i(bm::State &state){\
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Kernel<KER##Integrator,VDIM,GLL> ker(state.range(0));\
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while (state.KeepRunning()) { ker.benchmark(); }\
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state.counters["MDof/s"] = bm::Counter(ker.SumMdofs(), bm::Counter::kIsRate);}\
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BENCHMARK(BK##i)->DenseRange(1,6)->Unit(bm::kMillisecond);
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/// BK1: scalar E-vector-to-E-vector evaluation of mass matrix, q=p+2
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BakeOff_Kernel(1,Mass,1,false)
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/// BK2: vector E-vector-to-E-vector evaluation of mass matrix, q=p+2
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BakeOff_Kernel(2,VectorMass,3,false)
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/// BK3: scalar E-vector-to-E-vector evaluation of stiffness matrix, q=p+2
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BakeOff_Kernel(3,Diffusion,1,false)
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/// BK4: vector E-vector-to-E-vector evaluation of stiffness matrix, q=p+2
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BakeOff_Kernel(4,VectorDiffusion,3,false)
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/// BK5: scalar E-vector-to-E-vector evaluation of stiffness matrix, q=p+1
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BakeOff_Kernel(5,Diffusion,1,true)
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/// BK6: vector E-vector-to-E-vector evaluation of stiffness matrix, q=p+1
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BakeOff_Kernel(6,VectorDiffusion,3,true)
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/**
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* @brief main entry point
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* --benchmark_filter=BK1/6
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* --benchmark_context=device=cpu
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*/
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int main(int argc, char *argv[])
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{
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bm::ConsoleReporter CR;
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bm::Initialize(&argc, argv);
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// Device setup, cpu by default
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std::string device_config = "cpu";
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if (bmi::global_context != nullptr)
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{
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const auto device = bmi::global_context->find("device");
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if (device != bmi::global_context->end())
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{
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mfem::out << device->first << " : " << device->second << std::endl;
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device_config = device->second;
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}
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}
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Device device(device_config.c_str());
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device.Print();
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if (bm::ReportUnrecognizedArguments(argc, argv)) { return 1; }
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bm::RunSpecifiedBenchmarks(&CR);
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return 0;
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}
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#endif // MFEM_USE_BENCHMARK
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