/usr/include/trilinos/Zoltan2_AlgPuLP.hpp is in libtrilinos-zoltan2-dev 12.12.1-5.
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//
// ***********************************************************************
//
// Zoltan2: A package of combinatorial algorithms for scientific computing
// Copyright 2012 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
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// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
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// 2. Redistributions in binary form must reproduce the above copyright
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//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
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// Siva Rajamanickam (srajama@sandia.gov)
//
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// @HEADER
#ifndef _ZOLTAN2_ALGPULP_HPP_
#define _ZOLTAN2_ALGPULP_HPP_
#include <Zoltan2_GraphModel.hpp>
#include <Zoltan2_Algorithm.hpp>
#include <Zoltan2_PartitioningSolution.hpp>
#include <Zoltan2_Util.hpp>
#include <Zoltan2_TPLTraits.hpp>
////////////////////////////////////////////////////////////////////////
//! \file Zoltan2_AlgPuLP.hpp
//! \brief interface to the PuLP third-party library
////////////////////////////////////////////////////////////////////////
#ifndef HAVE_ZOLTAN2_PULP
namespace Zoltan2 {
// Error handling for when PuLP is requested
// but Zoltan2 not built with PuLP.
template <typename Adapter>
class AlgPuLP : public Algorithm<Adapter>
{
public:
typedef typename Adapter::base_adapter_t base_adapter_t;
AlgPuLP(const RCP<const Environment> &env,
const RCP<const Comm<int> > &problemComm,
const RCP<const base_adapter_t> &adapter
)
{
throw std::runtime_error(
"BUILD ERROR: PuLP requested but not compiled into Zoltan2.\n"
"Please set CMake flag TPL_ENABLE_PuLP:BOOL=ON.");
}
/*! \brief Set up validators specific to this algorithm
*/
static void getValidParameters(ParameterList & pl)
{
// No parameters needed in this error-handling version of AlgPuLP
}
};
}
#endif
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
#ifdef HAVE_ZOLTAN2_PULP
namespace Zoltan2 {
extern "C" {
// TODO: XtraPuLP
#ifndef HAVE_ZOLTAN2_MPI
#include "pulp.h"
#else
#include "xtrapulp.h"
#endif
}
template <typename Adapter>
class AlgPuLP : public Algorithm<Adapter>
{
public:
typedef typename Adapter::base_adapter_t base_adapter_t;
typedef typename Adapter::lno_t lno_t;
typedef typename Adapter::gno_t gno_t;
typedef typename Adapter::scalar_t scalar_t;
typedef typename Adapter::part_t part_t;
typedef typename Adapter::user_t user_t;
typedef typename Adapter::userCoord_t userCoord_t;
/*! PuLP constructors
* \param env parameters for the problem and library configuration
* \param problemComm the communicator for the problem
* \param adapter the user's input adapter
*
* We're building a graph model, so throw an error if we can't
* build the model from the input adapter passed to constructor
* For matrix and mesh adapters, additionally determine which
* objects we wish to partition
*/
AlgPuLP(const RCP<const Environment> &env__,
const RCP<const Comm<int> > &problemComm__,
const RCP<const IdentifierAdapter<user_t> > &adapter__) :
env(env__), problemComm(problemComm__), adapter(adapter__)
{
std::string errStr = "cannot build GraphModel from IdentifierAdapter, ";
errStr += "PuLP requires Graph, Matrix, or Mesh Adapter";
throw std::runtime_error(errStr);
}
AlgPuLP(const RCP<const Environment> &env__,
const RCP<const Comm<int> > &problemComm__,
const RCP<const VectorAdapter<user_t> > &adapter__) :
env(env__), problemComm(problemComm__), adapter(adapter__)
{
std::string errStr = "cannot build GraphModel from VectorAdapter, ";
errStr += "PuLP requires Graph, Matrix, or Mesh Adapter";
throw std::runtime_error(errStr);
}
AlgPuLP(const RCP<const Environment> &env__,
const RCP<const Comm<int> > &problemComm__,
const RCP<const GraphAdapter<user_t,userCoord_t> > &adapter__) :
env(env__), problemComm(problemComm__), adapter(adapter__)
{
modelFlag_t flags;
flags.reset();
buildModel(flags);
}
AlgPuLP(const RCP<const Environment> &env__,
const RCP<const Comm<int> > &problemComm__,
const RCP<const MatrixAdapter<user_t,userCoord_t> > &adapter__) :
env(env__), problemComm(problemComm__), adapter(adapter__)
{
modelFlag_t flags;
flags.reset();
const ParameterList &pl = env->getParameters();
const Teuchos::ParameterEntry *pe;
std::string defString("default");
std::string objectOfInterest(defString);
pe = pl.getEntryPtr("objects_to_partition");
if (pe)
objectOfInterest = pe->getValue<std::string>(&objectOfInterest);
if (objectOfInterest == defString ||
objectOfInterest == std::string("matrix_rows") )
flags.set(VERTICES_ARE_MATRIX_ROWS);
else if (objectOfInterest == std::string("matrix_columns"))
flags.set(VERTICES_ARE_MATRIX_COLUMNS);
else if (objectOfInterest == std::string("matrix_nonzeros"))
flags.set(VERTICES_ARE_MATRIX_NONZEROS);
buildModel(flags);
}
AlgPuLP(const RCP<const Environment> &env__,
const RCP<const Comm<int> > &problemComm__,
const RCP<const MeshAdapter<user_t> > &adapter__) :
env(env__), problemComm(problemComm__), adapter(adapter__)
{
modelFlag_t flags;
flags.reset();
const ParameterList &pl = env->getParameters();
const Teuchos::ParameterEntry *pe;
std::string defString("default");
std::string objectOfInterest(defString);
pe = pl.getEntryPtr("objects_to_partition");
if (pe)
objectOfInterest = pe->getValue<std::string>(&objectOfInterest);
if (objectOfInterest == defString ||
objectOfInterest == std::string("mesh_nodes") )
flags.set(VERTICES_ARE_MESH_NODES);
else if (objectOfInterest == std::string("mesh_elements"))
flags.set(VERTICES_ARE_MESH_ELEMENTS);
buildModel(flags);
}
/*! \brief Set up validators specific to this algorithm
*/
static void getValidParameters(ParameterList & pl)
{
pl.set("pulp_vert_imbalance", 1.1, "vertex imbalance tolerance, ratio of "
"maximum load over average load",
Environment::getAnyDoubleValidator());
pl.set("pulp_edge_imbalance", 1.1, "edge imbalance tolerance, ratio of "
"maximum load over average load",
Environment::getAnyDoubleValidator());
// bool parameter
pl.set("pulp_lp_init", false, "perform label propagation-based "
"initialization", Environment::getBoolValidator() );
// bool parameter
pl.set("pulp_minimize_maxcut", false, "perform per-part max cut "
"minimization", Environment::getBoolValidator() );
// bool parameter
pl.set("pulp_verbose", false, "verbose output",
Environment::getBoolValidator() );
// bool parameter
pl.set("pulp_do_repart", false, "perform repartitioning",
Environment::getBoolValidator() );
pl.set("pulp_seed", 0, "set pulp seed", Environment::getAnyIntValidator());
}
void partition(const RCP<PartitioningSolution<Adapter> > &solution);
private:
void buildModel(modelFlag_t &flags);
void scale_weights(size_t n, StridedData<lno_t, scalar_t> &fwgts,
int *iwgts);
const RCP<const Environment> env;
const RCP<const Comm<int> > problemComm;
const RCP<const base_adapter_t> adapter;
RCP<const GraphModel<base_adapter_t> > model;
};
/////////////////////////////////////////////////////////////////////////////
template <typename Adapter>
void AlgPuLP<Adapter>::buildModel(modelFlag_t &flags)
{
const ParameterList &pl = env->getParameters();
const Teuchos::ParameterEntry *pe;
std::string defString("default");
std::string symParameter(defString);
pe = pl.getEntryPtr("symmetrize_graph");
if (pe){
symParameter = pe->getValue<std::string>(&symParameter);
if (symParameter == std::string("transpose"))
flags.set(SYMMETRIZE_INPUT_TRANSPOSE);
else if (symParameter == std::string("bipartite"))
flags.set(SYMMETRIZE_INPUT_BIPARTITE); }
bool sgParameter = false;
pe = pl.getEntryPtr("subset_graph");
if (pe)
sgParameter = pe->getValue(&sgParameter);
if (sgParameter)
flags.set(BUILD_SUBSET_GRAPH);
flags.set(REMOVE_SELF_EDGES);
flags.set(GENERATE_CONSECUTIVE_IDS);
#ifndef HAVE_ZOLTAN2_MPI
flags.set(BUILD_LOCAL_GRAPH);
#endif
this->env->debug(DETAILED_STATUS, " building graph model");
this->model = rcp(new GraphModel<base_adapter_t>(this->adapter, this->env,
this->problemComm, flags));
this->env->debug(DETAILED_STATUS, " graph model built");
}
/*
NOTE:
Assumes installed PuLP library is version pulp-0.2
*/
template <typename Adapter>
void AlgPuLP<Adapter>::partition(
const RCP<PartitioningSolution<Adapter> > &solution
)
{
HELLO;
size_t numGlobalParts = solution->getTargetGlobalNumberOfParts();
int num_parts = (int)numGlobalParts;
//TPL_Traits<int, size_t>::ASSIGN(num_parts, numGlobalParts, env);
//#ifdef HAVE_ZOLTAN2_MPI
// TODO: XtraPuLP
int ierr = 0;
int np = problemComm->getSize();
// Get number of vertices and edges
const size_t modelVerts = model->getLocalNumVertices();
const size_t modelEdges = model->getLocalNumEdges();
int num_verts = (int)modelVerts;
long num_edges = (long)modelEdges;
//TPL_Traits<int, size_t>::ASSIGN(num_verts, modelVerts, env);
//TPL_Traits<long, size_t>::ASSIGN(num_edges, modelEdges, env);
// Get vertex info
ArrayView<const gno_t> vtxIDs;
ArrayView<StridedData<lno_t, scalar_t> > vwgts;
size_t nVtx = model->getVertexList(vtxIDs, vwgts);
int nVwgts = model->getNumWeightsPerVertex();
if (nVwgts > 1) {
std::cerr << "Warning: NumWeightsPerVertex is " << nVwgts
<< " but PuLP allows only one weight. "
<< " Zoltan2 will use only the first weight per vertex."
<< std::endl;
}
int* vertex_weights = NULL;
long vertex_weights_sum = 0;
if (nVwgts) {
vertex_weights = new int[nVtx];
scale_weights(nVtx, vwgts[0], vertex_weights);
for (int i = 0; i < num_verts; ++i)
vertex_weights_sum += vertex_weights[i];
}
// Get edge info
ArrayView<const gno_t> adjs;
ArrayView<const lno_t> offsets;
ArrayView<StridedData<lno_t, scalar_t> > ewgts;
size_t nEdge = model->getEdgeList(adjs, offsets, ewgts);
int nEwgts = model->getNumWeightsPerEdge();
if (nEwgts > 1) {
std::cerr << "Warning: NumWeightsPerEdge is " << nEwgts
<< " but PuLP allows only one weight. "
<< " Zoltan2 will use only the first weight per edge."
<< std::endl;
}
int* edge_weights = NULL;
if (nEwgts) {
edge_weights = new int[nEdge];
scale_weights(nEdge, ewgts[0], edge_weights);
}
#ifndef HAVE_ZOLTAN2_MPI
// Create PuLP's graph structure
int* out_edges = NULL;
long* out_offsets = NULL;
TPL_Traits<int, const gno_t>::ASSIGN_ARRAY(&out_edges, adjs);
TPL_Traits<long, const lno_t>::ASSIGN_ARRAY(&out_offsets, offsets);
pulp_graph_t g = {num_verts, num_edges,
out_edges, out_offsets,
vertex_weights, edge_weights, vertex_weights_sum};
#else
// Create XtraPuLP's graph structure
unsigned long* out_edges = NULL;
unsigned long* out_offsets = NULL;
TPL_Traits<unsigned long, const gno_t>::ASSIGN_ARRAY(&out_edges, adjs);
TPL_Traits<unsigned long, const lno_t>::ASSIGN_ARRAY(&out_offsets, offsets);
const size_t modelVertsGlobal = model->getGlobalNumVertices();
const size_t modelEdgesGlobal = model->getGlobalNumEdges();
unsigned long num_verts_global = (unsigned long)modelVertsGlobal;
unsigned long num_edges_global = (unsigned long)modelEdgesGlobal;
unsigned long* global_ids = NULL;
TPL_Traits<unsigned long, const gno_t>::ASSIGN_ARRAY(&global_ids, vtxIDs);
ArrayView<size_t> vtxDist;
model->getVertexDist(vtxDist);
unsigned long* verts_per_rank = new unsigned long[np+1];
for (int i = 0; i < np+1; ++i)
verts_per_rank[i] = vtxDist[i];
dist_graph_t g;
create_xtrapulp_dist_graph(&g, num_verts_global, num_edges_global,
(unsigned long)num_verts, (unsigned long)num_edges,
out_edges, out_offsets, global_ids, verts_per_rank,
vertex_weights, edge_weights);
#endif
// Create array for PuLP to return results in.
// Or write directly into solution parts array
ArrayRCP<part_t> partList(new part_t[num_verts], 0, num_verts, true);
int* parts = NULL;
if (num_verts && (sizeof(int) == sizeof(part_t))) {
// Can write directly into the solution's memory
parts = (int *) partList.getRawPtr();
}
else {
// Can't use solution memory directly; will have to copy later.
parts = new int[num_verts];
}
// TODO
// Implement target part sizes
// Grab options from parameter list
const Teuchos::ParameterList &pl = env->getParameters();
const Teuchos::ParameterEntry *pe;
// figure out which parts of the algorithm we're going to run
// Default to PuLP with BFS init
// PuLP - do_edge_min = false, do_maxcut_min = false
// PuLP-M - do_edge_bal = true, do_maxcut_min = false
// PuLP-MM - do_edge_bal = true/false, do_maxcut_min = true
bool do_lp_init = false;
bool do_bfs_init = true;
bool do_edge_bal = false;
bool do_repart = false;
bool do_maxcut_min = false;
bool verbose_output = false;
// Do label propagation initialization instead of bfs?
pe = pl.getEntryPtr("pulp_lp_init");
if (pe) do_lp_init = pe->getValue(&do_lp_init);
if (do_lp_init) do_bfs_init = false;
// Now look at additional objective
pe = pl.getEntryPtr("pulp_minimize_maxcut");
if (pe) {
do_maxcut_min = pe->getValue(&do_maxcut_min);
// If we're doing the secondary objective,
// set the additional constraint as well
if (do_maxcut_min) do_edge_bal = true;
}
pe = pl.getEntryPtr("pulp_do_repart");
if (pe) {
do_repart = pe->getValue(&do_repart);
// Do repartitioning with input parts
do_bfs_init = false;
do_lp_init = false;
// TODO: read in current parts
// for (int i = 0; i < num_verts; ++i)
// parts[i] = something;
}
// Now grab vertex and edge imbalances, defaults at 10%
double vert_imbalance = 1.1;
double edge_imbalance = 1.1;
pe = pl.getEntryPtr("pulp_vert_imbalance");
if (pe) vert_imbalance = pe->getValue<double>(&vert_imbalance);
pe = pl.getEntryPtr("pulp_edge_imbalance");
if (pe) {
edge_imbalance = pe->getValue<double>(&edge_imbalance);
// if manually set edge imbalance, add do_edge_bal flag to true
do_edge_bal = 1;
}
if (vert_imbalance < 1.0)
throw std::runtime_error("pulp_vert_imbalance must be '1.0' or greater.");
if (edge_imbalance < 1.0)
throw std::runtime_error("pulp_edge_imbalance must be '1.0' or greater.");
// verbose output?
// TODO: fully implement verbose flag throughout PuLP
pe = pl.getEntryPtr("pulp_verbose");
if (pe) verbose_output = pe->getValue(&verbose_output);
// using pulp seed?
int pulp_seed = rand();
pe = pl.getEntryPtr("pulp_seed");
if (pe) pulp_seed = pe->getValue(&pulp_seed);
// Create PuLP's partitioning data structure
pulp_part_control_t ppc = {vert_imbalance, edge_imbalance,
do_lp_init, do_bfs_init, do_repart,
do_edge_bal, do_maxcut_min,
verbose_output, pulp_seed};
if (verbose_output) {
printf("procid: %d, n: %i, m: %li, vb: %f, eb: %f, p: %i\n",
problemComm->getRank(),
num_verts, num_edges, vert_imbalance, edge_imbalance, num_parts);
}
// Call partitioning; result returned in parts array
#ifndef HAVE_ZOLTAN2_MPI
ierr = pulp_run(&g, &ppc, parts, num_parts);
env->globalInputAssertion(__FILE__, __LINE__, "pulp_run",
!ierr, BASIC_ASSERTION, problemComm);
#else
ierr = xtrapulp_run(&g, &ppc, parts, num_parts);
env->globalInputAssertion(__FILE__, __LINE__, "xtrapulp_run",
!ierr, BASIC_ASSERTION, problemComm);
#endif
// Load answer into the solution if necessary
if ((sizeof(int) != sizeof(part_t)) || (num_verts == 0)) {
for (int i = 0; i < num_verts; i++) partList[i] = parts[i];
delete [] parts;
}
solution->setParts(partList);
env->memory("Zoltan2-(Xtra)PuLP: After creating solution");
// Clean up copies made due to differing data sizes.
#ifndef HAVE_ZOLTAN2_MPI
TPL_Traits<int, const gno_t>::DELETE_ARRAY(&out_edges);
TPL_Traits<long, const lno_t>::DELETE_ARRAY(&out_offsets);
#else
TPL_Traits<unsigned long, const gno_t>::DELETE_ARRAY(&out_edges);
TPL_Traits<unsigned long, const lno_t>::DELETE_ARRAY(&out_offsets);
TPL_Traits<unsigned long, const gno_t>::DELETE_ARRAY(&global_ids);
#endif
//#endif // DO NOT HAVE_MPI
}
/////////////////////////////////////////////////////////////////////////////
// Scale and round scalar_t weights (typically float or double) to
// PuLP int
// subject to sum(weights) <= max_wgt_sum.
// Scale only if deemed necessary.
//
// Note that we use ceil() instead of round() to avoid
// rounding to zero weights.
// Based on Zoltan's scale_round_weights, mode 1
template <typename Adapter>
void AlgPuLP<Adapter>::scale_weights(
size_t n,
StridedData<typename Adapter::lno_t, typename Adapter::scalar_t> &fwgts,
int *iwgts
)
{
const double INT_EPSILON = 1e-5;
const double MAX_NUM = 1e9;
int nonint = 0;
double sum_wgt = 0.0;
double max_wgt = 0.0;
// Compute local sums of the weights
// Check whether all weights are integers
for (size_t i = 0; i < n; i++) {
double fw = double(fwgts[i]);
if (!nonint){
int tmp = (int) floor(fw + .5); /* Nearest int */
if (fabs((double)tmp-fw) > INT_EPSILON) {
nonint = 1;
}
}
sum_wgt += fw;
if (fw > max_wgt) max_wgt = fw;
}
// Get agreement across processors
double gmax_wgt;
double ltmp[2], gtmp[2];
ltmp[0] = nonint;
ltmp[1] = sum_wgt;
Teuchos::reduceAll<int,double>(*problemComm, Teuchos::REDUCE_SUM, 2,
ltmp, gtmp);
Teuchos::reduceAll<int,double>(*problemComm, Teuchos::REDUCE_MAX, 1,
&max_wgt, &gmax_wgt);
nonint = gtmp[0];
sum_wgt = gtmp[1];
max_wgt = gmax_wgt;
// Scaling needed if weights are not integers or weights'
// range is not sufficient
double scale = 1.0;
if (nonint || (max_wgt <= INT_EPSILON) || (sum_wgt > MAX_NUM)) {
/* Calculate scale factor */
if (sum_wgt != 0.0) scale = MAX_NUM/sum_wgt;
}
/* Convert weights to positive integers using the computed scale factor */
for (size_t i = 0; i < n; i++)
iwgts[i] = (int) ceil(double(fwgts[i])*scale);
}
} // namespace Zoltan2
#endif // HAVE_ZOLTAN2_PULP
////////////////////////////////////////////////////////////////////////
#endif
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