mirror of
https://github.com/paboyle/Grid.git
synced 2025-04-04 19:25:56 +01:00
Hadrons: scheduler back!
This commit is contained in:
parent
61fc50d616
commit
0887566134
@ -94,10 +94,7 @@ void Application::run(void)
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}
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vm().printContent();
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env().printContent();
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if (!scheduled_)
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{
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schedule();
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}
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schedule();
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printSchedule();
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configLoop();
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}
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@ -122,11 +119,13 @@ void Application::parseParameterFile(const std::string parameterFileName)
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setPar(par);
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if (!push(reader, "modules"))
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{
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HADRON_ERROR(Parsing, "Cannot open node 'modules' in parameter file '" + parameterFileName + "'");
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HADRON_ERROR(Parsing, "Cannot open node 'modules' in parameter file '"
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+ parameterFileName + "'");
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}
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if (!push(reader, "module"))
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{
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HADRON_ERROR(Parsing, "Cannot open node 'modules/module' in parameter file '" + parameterFileName + "'");
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HADRON_ERROR(Parsing, "Cannot open node 'modules/module' in parameter file '"
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+ parameterFileName + "'");
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}
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do
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{
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@ -160,98 +159,13 @@ void Application::saveParameterFile(const std::string parameterFileName)
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}
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// schedule computation ////////////////////////////////////////////////////////
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#define MEM_MSG(size)\
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sizeString((size)*locVol_) << " (" << sizeString(size) << "/site)"
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#define DEFINE_MEMPEAK \
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GeneticScheduler<unsigned int>::ObjFunc memPeak = \
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[this](const std::vector<unsigned int> &program)\
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{\
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unsigned int memPeak;\
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bool msg;\
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\
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msg = HadronsLogMessage.isActive();\
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HadronsLogMessage.Active(false);\
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vm().dryRun(true);\
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memPeak = vm().executeProgram(program);\
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vm().dryRun(false);\
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env().freeAll();\
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HadronsLogMessage.Active(msg);\
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\
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return memPeak;\
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}
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void Application::schedule(void)
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{
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//DEFINE_MEMPEAK;
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// build module dependency graph
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LOG(Message) << "Building module graph..." << std::endl;
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auto graph = vm().getModuleGraph();
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LOG(Debug) << "Module graph:" << std::endl;
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LOG(Debug) << graph << std::endl;
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auto con = graph.getConnectedComponents();
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// constrained topological sort using a genetic algorithm
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// LOG(Message) << "Scheduling computation..." << std::endl;
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// LOG(Message) << " #module= " << graph.size() << std::endl;
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// LOG(Message) << " population size= " << par_.genetic.popSize << std::endl;
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// LOG(Message) << " max. generation= " << par_.genetic.maxGen << std::endl;
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// LOG(Message) << " max. cst. generation= " << par_.genetic.maxCstGen << std::endl;
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// LOG(Message) << " mutation rate= " << par_.genetic.mutationRate << std::endl;
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// unsigned int k = 0, gen, prevPeak, nCstPeak = 0;
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// std::random_device rd;
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// GeneticScheduler<unsigned int>::Parameters par;
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// par.popSize = par_.genetic.popSize;
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// par.mutationRate = par_.genetic.mutationRate;
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// par.seed = rd();
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// memPeak_ = 0;
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// CartesianCommunicator::BroadcastWorld(0, &(par.seed), sizeof(par.seed));
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for (unsigned int i = 0; i < con.size(); ++i)
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if (!scheduled_ and !loadedSchedule_)
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{
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// GeneticScheduler<unsigned int> scheduler(con[i], memPeak, par);
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// gen = 0;
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// do
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// {
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// LOG(Debug) << "Generation " << gen << ":" << std::endl;
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// scheduler.nextGeneration();
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// if (gen != 0)
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// {
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// if (prevPeak == scheduler.getMinValue())
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// {
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// nCstPeak++;
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// }
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// else
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// {
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// nCstPeak = 0;
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// }
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// }
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// prevPeak = scheduler.getMinValue();
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// if (gen % 10 == 0)
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// {
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// LOG(Iterative) << "Generation " << gen << ": "
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// << MEM_MSG(scheduler.getMinValue()) << std::endl;
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// }
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// gen++;
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// } while ((gen < par_.genetic.maxGen)
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// and (nCstPeak < par_.genetic.maxCstGen));
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// auto &t = scheduler.getMinSchedule();
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// if (scheduler.getMinValue() > memPeak_)
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// {
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// memPeak_ = scheduler.getMinValue();
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// }
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auto t = con[i].topoSort();
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for (unsigned int j = 0; j < t.size(); ++j)
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{
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program_.push_back(t[j]);
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}
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program_ = vm().schedule(par_.genetic);
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scheduled_ = true;
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}
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scheduled_ = true;
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}
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void Application::saveSchedule(const std::string filename)
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@ -274,8 +188,6 @@ void Application::saveSchedule(const std::string filename)
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void Application::loadSchedule(const std::string filename)
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{
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//DEFINE_MEMPEAK;
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TextReader reader(filename);
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std::vector<std::string> program;
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@ -287,8 +199,7 @@ void Application::loadSchedule(const std::string filename)
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{
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program_.push_back(vm().getModuleAddress(name));
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}
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scheduled_ = true;
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//memPeak_ = memPeak(program_);
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loadedSchedule_ = true;
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}
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void Application::printSchedule(void)
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@ -297,7 +208,8 @@ void Application::printSchedule(void)
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{
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HADRON_ERROR(Definition, "Computation not scheduled");
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}
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LOG(Message) << "Schedule (memory peak: " << MEM_MSG(memPeak_) << "):"
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auto peak = vm().memoryNeeded(program_);
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LOG(Message) << "Schedule (memory needed: " << sizeString(peak) << "):"
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<< std::endl;
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for (unsigned int i = 0; i < program_.size(); ++i)
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{
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@ -50,25 +50,13 @@ public:
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unsigned int, end,
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unsigned int, step);
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};
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class GeneticPar: Serializable
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{
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public:
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GeneticPar(void):
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popSize{20}, maxGen{1000}, maxCstGen{100}, mutationRate{.1} {};
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public:
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GRID_SERIALIZABLE_CLASS_MEMBERS(GeneticPar,
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unsigned int, popSize,
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unsigned int, maxGen,
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unsigned int, maxCstGen,
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double , mutationRate);
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};
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class GlobalPar: Serializable
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{
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public:
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GRID_SERIALIZABLE_CLASS_MEMBERS(GlobalPar,
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TrajRange, trajCounter,
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GeneticPar, genetic,
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std::string, seed);
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TrajRange, trajCounter,
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VirtualMachine::GeneticPar, genetic,
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std::string, seed);
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};
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public:
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// constructors
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@ -103,12 +91,11 @@ private:
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// virtual machine shortcut
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DEFINE_VM_ALIAS;
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private:
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long unsigned int locVol_;
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std::string parameterFileName_{""};
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GlobalPar par_;
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std::vector<unsigned int> program_;
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Environment::Size memPeak_;
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bool scheduled_{false};
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long unsigned int locVol_;
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std::string parameterFileName_{""};
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GlobalPar par_;
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VirtualMachine::Program program_;
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bool scheduled_{false}, loadedSchedule_{false};
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};
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/******************************************************************************
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@ -119,6 +106,7 @@ template <typename M>
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void Application::createModule(const std::string name)
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{
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vm().createModule<M>(name);
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scheduled_ = false;
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}
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template <typename M>
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@ -126,6 +114,7 @@ void Application::createModule(const std::string name,
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const typename M::Par &par)
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{
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vm().createModule<M>(name, par);
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scheduled_ = false;
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}
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END_HADRONS_NAMESPACE
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@ -38,13 +38,13 @@ BEGIN_HADRONS_NAMESPACE
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/******************************************************************************
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* Scheduler based on a genetic algorithm *
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******************************************************************************/
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template <typename T>
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template <typename V, typename T>
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class GeneticScheduler
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{
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public:
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typedef std::vector<T> Gene;
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typedef std::pair<Gene *, Gene *> GenePair;
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typedef std::function<int(const Gene &)> ObjFunc;
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typedef std::vector<T> Gene;
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typedef std::pair<Gene *, Gene *> GenePair;
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typedef std::function<V(const Gene &)> ObjFunc;
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struct Parameters
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{
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double mutationRate;
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@ -65,7 +65,7 @@ public:
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void benchmarkCrossover(const unsigned int nIt);
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// print population
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friend std::ostream & operator<<(std::ostream &out,
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const GeneticScheduler<T> &s)
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const GeneticScheduler<V, T> &s)
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{
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out << "[";
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for (auto &p: s.population_)
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@ -87,19 +87,19 @@ private:
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void mutation(Gene &m, const Gene &c);
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private:
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Graph<T> &graph_;
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const ObjFunc &func_;
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const Parameters par_;
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std::multimap<int, Gene> population_;
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std::mt19937 gen_;
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Graph<T> &graph_;
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const ObjFunc &func_;
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const Parameters par_;
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std::multimap<V, Gene> population_;
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std::mt19937 gen_;
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};
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/******************************************************************************
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* template implementation *
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******************************************************************************/
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// constructor /////////////////////////////////////////////////////////////////
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template <typename T>
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GeneticScheduler<T>::GeneticScheduler(Graph<T> &graph, const ObjFunc &func,
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template <typename V, typename T>
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GeneticScheduler<V, T>::GeneticScheduler(Graph<T> &graph, const ObjFunc &func,
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const Parameters &par)
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: graph_(graph)
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, func_(func)
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@ -109,22 +109,22 @@ GeneticScheduler<T>::GeneticScheduler(Graph<T> &graph, const ObjFunc &func,
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}
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// access //////////////////////////////////////////////////////////////////////
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template <typename T>
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const typename GeneticScheduler<T>::Gene &
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GeneticScheduler<T>::getMinSchedule(void)
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template <typename V, typename T>
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const typename GeneticScheduler<V, T>::Gene &
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GeneticScheduler<V, T>::getMinSchedule(void)
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{
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return population_.begin()->second;
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}
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template <typename T>
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int GeneticScheduler<T>::getMinValue(void)
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template <typename V, typename T>
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int GeneticScheduler<V, T>::getMinValue(void)
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{
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return population_.begin()->first;
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}
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// breed a new generation //////////////////////////////////////////////////////
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template <typename T>
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void GeneticScheduler<T>::nextGeneration(void)
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template <typename V, typename T>
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void GeneticScheduler<V, T>::nextGeneration(void)
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{
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// random initialization of the population if necessary
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if (population_.size() != par_.popSize)
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@ -158,8 +158,8 @@ void GeneticScheduler<T>::nextGeneration(void)
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}
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// evolution steps /////////////////////////////////////////////////////////////
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template <typename T>
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void GeneticScheduler<T>::initPopulation(void)
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template <typename V, typename T>
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void GeneticScheduler<V, T>::initPopulation(void)
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{
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population_.clear();
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for (unsigned int i = 0; i < par_.popSize; ++i)
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@ -170,8 +170,8 @@ void GeneticScheduler<T>::initPopulation(void)
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}
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}
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template <typename T>
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void GeneticScheduler<T>::doCrossover(void)
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template <typename V, typename T>
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void GeneticScheduler<V, T>::doCrossover(void)
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{
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auto p = selectPair();
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Gene &p1 = *(p.first), &p2 = *(p.second);
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@ -185,8 +185,8 @@ void GeneticScheduler<T>::doCrossover(void)
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}
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}
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template <typename T>
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void GeneticScheduler<T>::doMutation(void)
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template <typename V, typename T>
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void GeneticScheduler<V, T>::doMutation(void)
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{
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std::uniform_real_distribution<double> mdis(0., 1.);
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std::uniform_int_distribution<unsigned int> pdis(0, population_.size() - 1);
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@ -206,8 +206,8 @@ void GeneticScheduler<T>::doMutation(void)
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}
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// genetic operators ///////////////////////////////////////////////////////////
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template <typename T>
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typename GeneticScheduler<T>::GenePair GeneticScheduler<T>::selectPair(void)
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template <typename V, typename T>
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typename GeneticScheduler<V, T>::GenePair GeneticScheduler<V, T>::selectPair(void)
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{
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std::vector<double> prob;
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unsigned int ind;
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@ -233,8 +233,8 @@ typename GeneticScheduler<T>::GenePair GeneticScheduler<T>::selectPair(void)
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return std::make_pair(p1, p2);
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}
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template <typename T>
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void GeneticScheduler<T>::crossover(Gene &c1, Gene &c2, const Gene &p1,
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template <typename V, typename T>
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void GeneticScheduler<V, T>::crossover(Gene &c1, Gene &c2, const Gene &p1,
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const Gene &p2)
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{
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Gene buf;
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@ -268,8 +268,8 @@ void GeneticScheduler<T>::crossover(Gene &c1, Gene &c2, const Gene &p1,
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}
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}
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template <typename T>
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void GeneticScheduler<T>::mutation(Gene &m, const Gene &c)
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template <typename V, typename T>
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void GeneticScheduler<V, T>::mutation(Gene &m, const Gene &c)
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{
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Gene buf;
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std::uniform_int_distribution<unsigned int> dis(0, c.size() - 1);
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@ -298,8 +298,8 @@ void GeneticScheduler<T>::mutation(Gene &m, const Gene &c)
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}
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}
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template <typename T>
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void GeneticScheduler<T>::benchmarkCrossover(const unsigned int nIt)
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template <typename V, typename T>
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void GeneticScheduler<V, T>::benchmarkCrossover(const unsigned int nIt)
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{
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Gene p1, p2, c1, c2;
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double neg = 0., eq = 0., pos = 0., total;
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@ -27,6 +27,7 @@ See the full license in the file "LICENSE" in the top level distribution directo
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/* END LEGAL */
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#include <Grid/Hadrons/VirtualMachine.hpp>
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#include <Grid/Hadrons/GeneticScheduler.hpp>
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#include <Grid/Hadrons/ModuleFactory.hpp>
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using namespace Grid;
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@ -133,6 +134,8 @@ void VirtualMachine::pushModule(VirtualMachine::ModPt &pt)
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}
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}
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}
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graphOutdated_ = true;
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memoryProfileOutdated_ = true;
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}
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else
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{
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@ -364,6 +367,7 @@ void VirtualMachine::updateProfile(const unsigned int address)
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if (env().hasCreatedObject(a) and (profile_.object[a].module == -1))
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{
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profile_.object[a].size = env().getObjectSize(a);
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profile_.object[a].storage = env().getObjectStorage(a);
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profile_.object[a].module = address;
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profile_.module[address][a] = profile_.object[a].size;
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if (env().getObjectModule(a) < 0)
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@ -419,37 +423,130 @@ void VirtualMachine::memoryProfile(const std::string name)
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}
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// garbage collector ///////////////////////////////////////////////////////////
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VirtualMachine::GarbageSchedule
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VirtualMachine::makeGarbageSchedule(const std::vector<unsigned int> &p) const
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VirtualMachine::GarbageSchedule
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VirtualMachine::makeGarbageSchedule(const Program &p) const
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{
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GarbageSchedule freeProg;
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freeProg.resize(p.size());
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for (unsigned int i = 0; i < env().getMaxAddress(); ++i)
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for (unsigned int a = 0; a < env().getMaxAddress(); ++a)
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{
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auto pred = [i, this](const unsigned int j)
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if (env().getObjectStorage(a) == Environment::Storage::temporary)
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{
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auto &in = module_[j].input;
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auto it = std::find(in.begin(), in.end(), i);
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return (it != in.end()) or (j == env().getObjectModule(i));
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};
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auto it = std::find_if(p.rbegin(), p.rend(), pred);
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if (it != p.rend())
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auto it = std::find(p.begin(), p.end(), env().getObjectModule(a));
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if (it != p.end())
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{
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freeProg[std::distance(p.begin(), it)].insert(a);
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}
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}
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else if (env().getObjectStorage(a) == Environment::Storage::object)
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{
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freeProg[std::distance(it, p.rend()) - 1].insert(i);
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auto pred = [a, this](const unsigned int b)
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{
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auto &in = module_[b].input;
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auto it = std::find(in.begin(), in.end(), a);
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return (it != in.end()) or (b == env().getObjectModule(a));
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};
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auto it = std::find_if(p.rbegin(), p.rend(), pred);
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if (it != p.rend())
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{
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freeProg[std::distance(it, p.rend()) - 1].insert(a);
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}
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}
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}
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return freeProg;
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}
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// high-water memory function //////////////////////////////////////////////////
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VirtualMachine::Size VirtualMachine::memoryNeeded(const Program &p)
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{
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const MemoryProfile &profile = getMemoryProfile();
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GarbageSchedule freep = makeGarbageSchedule(p);
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Size current = 0, max = 0;
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for (unsigned int i = 0; i < p.size(); ++i)
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{
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for (auto &o: profile.module[p[i]])
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{
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current += o.second;
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}
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max = std::max(current, max);
|
||||
for (auto &o: freep[i])
|
||||
{
|
||||
current -= profile.object[o].size;
|
||||
}
|
||||
}
|
||||
|
||||
return max;
|
||||
}
|
||||
|
||||
// genetic scheduler ///////////////////////////////////////////////////////////
|
||||
VirtualMachine::Program VirtualMachine::schedule(const GeneticPar &par)
|
||||
{
|
||||
typedef GeneticScheduler<Size, unsigned int> Scheduler;
|
||||
|
||||
auto graph = getModuleGraph();
|
||||
|
||||
//constrained topological sort using a genetic algorithm
|
||||
LOG(Message) << "Scheduling computation..." << std::endl;
|
||||
LOG(Message) << " #module= " << graph.size() << std::endl;
|
||||
LOG(Message) << " population size= " << par.popSize << std::endl;
|
||||
LOG(Message) << " max. generation= " << par.maxGen << std::endl;
|
||||
LOG(Message) << " max. cst. generation= " << par.maxCstGen << std::endl;
|
||||
LOG(Message) << " mutation rate= " << par.mutationRate << std::endl;
|
||||
|
||||
unsigned int k = 0, gen, prevPeak, nCstPeak = 0;
|
||||
std::random_device rd;
|
||||
Scheduler::Parameters gpar;
|
||||
|
||||
gpar.popSize = par.popSize;
|
||||
gpar.mutationRate = par.mutationRate;
|
||||
gpar.seed = rd();
|
||||
CartesianCommunicator::BroadcastWorld(0, &(gpar.seed), sizeof(gpar.seed));
|
||||
Scheduler::ObjFunc memPeak = [this](const Program &p)->Size
|
||||
{
|
||||
return memoryNeeded(p);
|
||||
};
|
||||
Scheduler scheduler(graph, memPeak, gpar);
|
||||
gen = 0;
|
||||
do
|
||||
{
|
||||
LOG(Debug) << "Generation " << gen << ":" << std::endl;
|
||||
scheduler.nextGeneration();
|
||||
if (gen != 0)
|
||||
{
|
||||
if (prevPeak == scheduler.getMinValue())
|
||||
{
|
||||
nCstPeak++;
|
||||
}
|
||||
else
|
||||
{
|
||||
nCstPeak = 0;
|
||||
}
|
||||
}
|
||||
|
||||
prevPeak = scheduler.getMinValue();
|
||||
if (gen % 10 == 0)
|
||||
{
|
||||
LOG(Iterative) << "Generation " << gen << ": "
|
||||
<< sizeString(scheduler.getMinValue()) << std::endl;
|
||||
}
|
||||
|
||||
gen++;
|
||||
} while ((gen < par.maxGen) and (nCstPeak < par.maxCstGen));
|
||||
|
||||
return scheduler.getMinSchedule();
|
||||
}
|
||||
|
||||
// general execution ///////////////////////////////////////////////////////////
|
||||
#define BIG_SEP "==============="
|
||||
#define SEP "---------------"
|
||||
#define MEM_MSG(size) sizeString(size)
|
||||
|
||||
void VirtualMachine::executeProgram(const std::vector<unsigned int> &p) const
|
||||
void VirtualMachine::executeProgram(const Program &p) const
|
||||
{
|
||||
Size memPeak = 0, sizeBefore, sizeAfter;
|
||||
GarbageSchedule freeProg;
|
||||
@ -481,15 +578,6 @@ void VirtualMachine::executeProgram(const std::vector<unsigned int> &p) const
|
||||
{
|
||||
env().freeObject(j);
|
||||
}
|
||||
// free temporaries
|
||||
for (unsigned int i = 0; i < env().getMaxAddress(); ++i)
|
||||
{
|
||||
if ((env().getObjectStorage(i) == Environment::Storage::temporary)
|
||||
and env().hasCreatedObject(i))
|
||||
{
|
||||
env().freeObject(i);
|
||||
}
|
||||
}
|
||||
// print used memory after garbage collection if necessary
|
||||
sizeAfter = env().getTotalSize();
|
||||
if (sizeBefore != sizeAfter)
|
||||
@ -506,7 +594,7 @@ void VirtualMachine::executeProgram(const std::vector<unsigned int> &p) const
|
||||
|
||||
void VirtualMachine::executeProgram(const std::vector<std::string> &p) const
|
||||
{
|
||||
std::vector<unsigned int> pAddress;
|
||||
Program pAddress;
|
||||
|
||||
for (auto &n: p)
|
||||
{
|
||||
|
||||
@ -51,19 +51,33 @@ class VirtualMachine
|
||||
{
|
||||
SINGLETON_DEFCTOR(VirtualMachine);
|
||||
public:
|
||||
typedef SITE_SIZE_TYPE Size;
|
||||
typedef std::unique_ptr<ModuleBase> ModPt;
|
||||
typedef std::vector<std::set<unsigned int>> GarbageSchedule;
|
||||
typedef SITE_SIZE_TYPE Size;
|
||||
typedef std::unique_ptr<ModuleBase> ModPt;
|
||||
typedef std::vector<std::set<unsigned int>> GarbageSchedule;
|
||||
typedef std::vector<unsigned int> Program;
|
||||
struct MemoryPrint
|
||||
{
|
||||
Size size;
|
||||
unsigned int module;
|
||||
Size size;
|
||||
Environment::Storage storage;
|
||||
unsigned int module;
|
||||
};
|
||||
struct MemoryProfile
|
||||
{
|
||||
std::vector<std::map<unsigned int, Size>> module;
|
||||
std::vector<MemoryPrint> object;
|
||||
};
|
||||
class GeneticPar: Serializable
|
||||
{
|
||||
public:
|
||||
GeneticPar(void):
|
||||
popSize{20}, maxGen{1000}, maxCstGen{100}, mutationRate{.1} {};
|
||||
public:
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(GeneticPar,
|
||||
unsigned int, popSize,
|
||||
unsigned int, maxGen,
|
||||
unsigned int, maxCstGen,
|
||||
double , mutationRate);
|
||||
};
|
||||
private:
|
||||
struct ModuleInfo
|
||||
{
|
||||
@ -109,13 +123,13 @@ public:
|
||||
// memory profile
|
||||
const MemoryProfile &getMemoryProfile(void);
|
||||
// garbage collector
|
||||
GarbageSchedule makeGarbageSchedule(const std::vector<unsigned int> &p) const;
|
||||
GarbageSchedule makeGarbageSchedule(const Program &p) const;
|
||||
// high-water memory function
|
||||
Size memoryNeeded(const std::vector<unsigned int> &p,
|
||||
const GarbageSchedule &g);
|
||||
Size memoryNeeded(const std::vector<unsigned int> &p);
|
||||
Size memoryNeeded(const Program &p);
|
||||
// genetic scheduler
|
||||
Program schedule(const GeneticPar &par);
|
||||
// general execution
|
||||
void executeProgram(const std::vector<unsigned int> &p) const;
|
||||
void executeProgram(const Program &p) const;
|
||||
void executeProgram(const std::vector<std::string> &p) const;
|
||||
private:
|
||||
// environment shortcut
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user