nvector_nrnparallel_ld.h

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/*
 * N_Vector_NrnParallelLD derived from N_Vector_Parallel Sundials version
 * by replacing every occurrence of Parallel with NrnParallelLD and then
 * modifying relevant method implementations to allow long double
 * accumulation.
 */
/*
Macros changed with
sed 's/NV_\‍([A-Za-z_]*\‍)_P/NV_\1_P_LD/g' nvector_nrnparallel_ld.h >temp
mv temp nvector_nrnparallel_ld.h
sed 's/NV_\‍([A-Za-z_]*\‍)_P/NV_\1_P_LD/g' nvector_nrnparallel_ld.cpp >temp
mv temp nvector_nrnparallel_ld.cpp
*/
 
/*
 * -----------------------------------------------------------------
 * $Revision: 855 $
 * $Date: 2005-02-10 00:15:46 +0100 (Thu, 10 Feb 2005) $
 * -----------------------------------------------------------------
 * Programmer(s): Scott D. Cohen, Alan C. Hindmarsh, Radu Serban,
 *                and Aaron Collier @ LLNL
 * -----------------------------------------------------------------
 * Copyright (c) 2002, The Regents of the University of California.
 * Produced at the Lawrence Livermore National Laboratory.
 * All rights reserved.
 * For details, see sundials/shared/LICENSE.
 * -----------------------------------------------------------------
 * This is the main header file for the MPI-enabled implementation
 * of the NVECTOR module.
 *
 * Part I contains declarations specific to the parallel
 * implementation of the supplied NVECTOR module.
 *
 * Part II defines accessor macros that allow the user to efficiently
 * use the type N_Vector without making explicit references to the
 * underlying data structure.
 *
 * Part III contains the prototype for the constructor
 * N_VNew_Parallel as well as implementation-specific prototypes
 * for various useful vector operations.
 *
 * Notes:
 *
 *   - The definition of the generic N_Vector structure can be
 *     found in the header file shared/include/nvector.h.
 *
 *   - The definition of the type realtype can be found in the
 *     header file shared/include/sundialstypes.h, and it may be
 *     changed (at the configuration stage) according to the user's
 *     needs. The sundialstypes.h file also contains the definition
 *     for the type booleantype.
 *
 *   - N_Vector arguments to arithmetic vector operations need not
 *     be distinct. For example, the following call:
 *
 *        N_VLinearSum_Parallel(a,x,b,y,y);
 *
 *     (which stores the result of the operation a*x+b*y in y)
 *     is legal.
 * -----------------------------------------------------------------
 */
 
#ifndef _NVECTOR_NRNPARALLEL_LD_H
#define _NVECTOR_NRNPARALLEL_LD_H
 
 
#include <nrnmpiuse.h>
#if NRNMPI_DYNAMICLOAD
#define MPI_DOUBLE double
#define MPI_LONG   long
#define MPI_Comm   int
#else
#include <mpi.h>
#endif
 
#include "nvector.h"
#include "sundialstypes.h"
 
/*
 * -----------------------------------------------------------------
 * PART I: PARALLEL implementation of N_Vector
 * -----------------------------------------------------------------
 */
 
/* define MPI data types */
 
#if defined(SUNDIALS_SINGLE_PRECISION)
 
#define PVEC_REAL_MPI_TYPE MPI_FLOAT
 
#elif defined(SUNDIALS_DOUBLE_PRECISION)
 
#define PVEC_REAL_MPI_TYPE MPI_DOUBLE
 
#elif defined(SUNDIALS_EXTENDED_PRECISION)
 
#define PVEC_REAL_MPI_TYPE MPI_LONG_DOUBLE
 
#endif
 
#define PVEC_INTEGER_MPI_TYPE MPI_LONG
 
/* parallel implementation of the N_Vector 'content' structure
   contains the global and local lengths of the vector, a pointer
   to an array of realtype components, the MPI communicator,
   and a flag indicating ownership of the data */
 
struct _N_VectorContent_NrnParallelLD {
    long int local_length;  /* local vector length         */
    long int global_length; /* global vector length        */
    booleantype own_data;   /* ownership of data           */
    realtype* data;         /* local data array            */
    MPI_Comm comm;          /* pointer to MPI communicator */
};
 
typedef struct _N_VectorContent_NrnParallelLD* N_VectorContent_NrnParallelLD;
 
/*
 * -----------------------------------------------------------------
 * PART II: macros NV_CONTENT_P_LD, NV_DATA_P_LD, NV_OWN_DATA_P_LD,
 *          NV_LOCLENGTH_P_LD, NV_GLOBLENGTH_P_LD,NV_COMM_P_LD, and NV_Ith_P_LD
 * -----------------------------------------------------------------
 * In the descriptions below, the following user declarations
 * are assumed:
 *
 * N_Vector v;
 * long int v_len, s_len, i;
 *
 * (1) NV_CONTENT_P_LD
 *
 *     This routines gives access to the contents of the parallel
 *     vector N_Vector.
 *
 *     The assignment v_cont = NV_CONTENT_P_LD(v) sets v_cont to be
 *     a pointer to the parallel N_Vector content structure.
 *
 * (2) NV_DATA_P_LD, NV_OWN_DATA_P_LD, NV_LOCLENGTH_P_LD, NV_GLOBLENGTH_P_LD,
 *     and NV_COMM_P_LD
 *
 *     These routines give access to the individual parts of
 *     the content structure of a parallel N_Vector.
 *
 *     The assignment v_data = NV_DATA_P_LD(v) sets v_data to be
 *     a pointer to the first component of the local data for
 *     the vector v. The assignment NV_DATA_P_LD(v) = data_v sets
 *     the component array of v to be data_V by storing the
 *     pointer data_v.
 *
 *     The assignment v_llen = NV_LOCLENGTH_P_LD(v) sets v_llen to
 *     be the length of the local part of the vector v. The call
 *     NV_LOCLENGTH_P_LD(v) = llen_v sets the local length
 *     of v to be llen_v.
 *
 *     The assignment v_glen = NV_GLOBLENGTH_P_LD(v) sets v_glen to
 *     be the global length of the vector v. The call
 *     NV_GLOBLENGTH_P_LD(v) = glen_v sets the global length of v to
 *     be glen_v.
 *
 *     The assignment v_comm = NV_COMM_P_LD(v) sets v_comm to be the
 *     MPI communicator of the vector v. The assignment
 *     NV_COMM_C(v) = comm_v sets the MPI communicator of v to be
 *     comm_v.
 *
 * (3) NV_Ith_P_LD
 *
 *     In the following description, the components of the
 *     local part of an N_Vector are numbered 0..n-1, where n
 *     is the local length of (the local part of) v.
 *
 *     The assignment r = NV_Ith_P_LD(v,i) sets r to be the value
 *     of the ith component of the local part of the vector v.
 *     The assignment NV_Ith_P_LD(v,i) = r sets the value of the
 *     ith local component of v to be r.
 *
 * Note: When looping over the components of an N_Vector v, it is
 * more efficient to first obtain the component array via
 * v_data = NV_DATA_P_LD(v) and then access v_data[i] within the
 * loop than it is to use NV_Ith_P_LD(v,i) within the loop.
 * -----------------------------------------------------------------
 */
 
#define NV_CONTENT_P_LD(v) ((N_VectorContent_NrnParallelLD) (v->content))
 
#define NV_LOCLENGTH_P_LD(v) (NV_CONTENT_P_LD(v)->local_length)
 
#define NV_GLOBLENGTH_P_LD(v) (NV_CONTENT_P_LD(v)->global_length)
 
#define NV_OWN_DATA_P_LD(v) (NV_CONTENT_P_LD(v)->own_data)
 
#define NV_DATA_P_LD(v) (NV_CONTENT_P_LD(v)->data)
 
#define NV_COMM_P_LD(v) (NV_CONTENT_P_LD(v)->comm)
 
#define NV_Ith_P_LD(v, i) (NV_DATA_P_LD(v)[i])
 
/*
 * -----------------------------------------------------------------
 * PART III: functions exported by nvector_parallel
 *
 * CONSTRUCTORS:
 *    N_VNew_NrnParallelLD
 *    N_VNewEmpty_NrnParallelLD
 *    N_VClone_NrnParallelLD
 *    N_VCloneEmpty_NrnParallelLD
 *    N_VMake_NrnParallelLD
 *    N_VNewVectorArray_NrnParallelLD
 *    N_VNewVectorArrayEmpty_NrnParallelLD
 * DESTRUCTORS:
 *    N_VDestroy_NrnParallelLD
 *    N_VDestroyVectorArray_NrnParallelLD
 * -----------------------------------------------------------------
 */
 
/*
 * -----------------------------------------------------------------
 * Function : N_VNew_NrnParallelLD
 * -----------------------------------------------------------------
 * This function creates and allocates memory for a parallel vector.
 * -----------------------------------------------------------------
 */
 
extern "C" N_Vector N_VNew_NrnParallelLD(MPI_Comm comm,
                                         long int local_length,
                                         long int global_length);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VNewEmpty_NrnParallelLD
 * -----------------------------------------------------------------
 * This function creates a new parallel N_Vector with an empty
 * (NULL) data array.
 * -----------------------------------------------------------------
 */
 
N_Vector N_VNewEmpty_NrnParallelLD(MPI_Comm comm, long int local_length, long int global_length);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VCloneEmpty_NrnParallelLD
 * -----------------------------------------------------------------
 * This function creates a new parallel N_Vector with an empty (NULL)
 * data array using the vector w as a template
 * (sets own_data = FALSE).
 * -----------------------------------------------------------------
 */
 
N_Vector N_VCloneEmpty_NrnParallelLD(N_Vector w);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VMake_NrnParallelLD
 * -----------------------------------------------------------------
 * This function creates and allocates memory for a parallel vector
 * with a user-supplied data array.
 * -----------------------------------------------------------------
 */
 
N_Vector N_VMake_NrnParallelLD(MPI_Comm comm,
                               long int local_length,
                               long int global_length,
                               realtype* v_data);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VNewVectorArray_NrnParallelLD
 * -----------------------------------------------------------------
 * This function creates an array of 'count' parallel vectors. This
 * array of N_Vectors can be freed using N_VDestroyVectorArray
 * (defined by the generic NVECTOR module).
 * -----------------------------------------------------------------
 */
 
N_Vector* N_VNewVectorArray_NrnParallelLD(int count,
                                          MPI_Comm comm,
                                          long int local_length,
                                          long int global_length);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VNewVectorArrayEmpty_NrnParallelLD
 * -----------------------------------------------------------------
 * This function creates an array of 'count' parallel vectors each
 * with an empty (NULL) data array.
 * -----------------------------------------------------------------
 */
 
N_Vector* N_VNewVectorArrayEmpty_NrnParallelLD(int count,
                                               MPI_Comm comm,
                                               long int local_length,
                                               long int global_length);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VDestroyVectorArray_NrnParallelLD
 * -----------------------------------------------------------------
 * This function frees an array of N_Vector created with
 * N_VNewVectorArray_NrnParallelLD.
 * -----------------------------------------------------------------
 */
 
void N_VDestroyVectorArray_NrnParallelLD(N_Vector* vs, int count);
 
/*
 * -----------------------------------------------------------------
 * Function : N_VPrint_NrnParallelLD
 * -----------------------------------------------------------------
 * This function prints the content of a parallel vector to stdout.
 * -----------------------------------------------------------------
 */
 
void N_VPrint_NrnParallelLD(N_Vector v);
 
/*
 * -----------------------------------------------------------------
 * parallel implementations of the vector operations
 * -----------------------------------------------------------------
 */
 
N_Vector N_VClone_NrnParallelLD(N_Vector w);
void N_VDestroy_NrnParallelLD(N_Vector v);
void N_VSpace_NrnParallelLD(N_Vector v, long int* lrw, long int* liw);
realtype* N_VGetArrayPointer_NrnParallelLD(N_Vector v);
void N_VSetArrayPointer_NrnParallelLD(realtype* v_data, N_Vector v);
void N_VLinearSum_NrnParallelLD(realtype a, N_Vector x, realtype b, N_Vector y, N_Vector z);
void N_VConst_NrnParallelLD(realtype c, N_Vector z);
void N_VProd_NrnParallelLD(N_Vector x, N_Vector y, N_Vector z);
void N_VDiv_NrnParallelLD(N_Vector x, N_Vector y, N_Vector z);
void N_VScale_NrnParallelLD(realtype c, N_Vector x, N_Vector z);
void N_VAbs_NrnParallelLD(N_Vector x, N_Vector z);
void N_VInv_NrnParallelLD(N_Vector x, N_Vector z);
void N_VAddConst_NrnParallelLD(N_Vector x, realtype b, N_Vector z);
realtype N_VDotProd_NrnParallelLD(N_Vector x, N_Vector y);
realtype N_VMaxNorm_NrnParallelLD(N_Vector x);
realtype N_VWrmsNorm_NrnParallelLD(N_Vector x, N_Vector w);
realtype N_VWrmsNormMask_NrnParallelLD(N_Vector x, N_Vector w, N_Vector id);
realtype N_VMin_NrnParallelLD(N_Vector x);
realtype N_VWL2Norm_NrnParallelLD(N_Vector x, N_Vector w);
realtype N_VL1Norm_NrnParallelLD(N_Vector x);
void N_VCompare_NrnParallelLD(realtype c, N_Vector x, N_Vector z);
booleantype N_VInvTest_NrnParallelLD(N_Vector x, N_Vector z);
booleantype N_VConstrMask_NrnParallelLD(N_Vector c, N_Vector x, N_Vector m);
realtype N_VMinQuotient_NrnParallelLD(N_Vector num, N_Vector denom);
 
 
#endif