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openmpi/ompi/mpi/cxx/op.h

66 строки
1.9 KiB
C
Исходник Обычный вид История

// -*- c++ -*-
//
// Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana
// University Research and Technology
// Corporation. All rights reserved.
// Copyright (c) 2004-2005 The University of Tennessee and The University
// of Tennessee Research Foundation. All rights
// reserved.
// Copyright (c) 2004-2005 High Performance Computing Center Stuttgart,
// University of Stuttgart. All rights reserved.
// Copyright (c) 2004-2005 The Regents of the University of California.
// All rights reserved.
Two major things in this commit: * New "op" MPI layer framework * Addition of the MPI_REDUCE_LOCAL proposed function (for MPI-2.2) = Op framework = Add new "op" framework in the ompi layer. This framework replaces the hard-coded MPI_Op back-end functions for (MPI_Op, MPI_Datatype) tuples for pre-defined MPI_Ops, allowing components and modules to provide the back-end functions. The intent is that components can be written to take advantage of hardware acceleration (GPU, FPGA, specialized CPU instructions, etc.). Similar to other frameworks, components are intended to be able to discover at run-time if they can be used, and if so, elect themselves to be selected (or disqualify themselves from selection if they cannot run). If specialized hardware is not available, there is a default set of functions that will automatically be used. This framework is ''not'' used for user-defined MPI_Ops. The new op framework is similar to the existing coll framework, in that the final set of function pointers that are used on any given intrinsic MPI_Op can be a mixed bag of function pointers, potentially coming from multiple different op modules. This allows for hardware that only supports some of the operations, not all of them (e.g., a GPU that only supports single-precision operations). All the hard-coded back-end MPI_Op functions for (MPI_Op, MPI_Datatype) tuples still exist, but unlike coll, they're in the framework base (vs. being in a separate "basic" component) and are automatically used if no component is found at runtime that provides a module with the necessary function pointers. There is an "example" op component that will hopefully be useful to those writing meaningful op components. It is currently .ompi_ignore'd so that it doesn't impinge on other developers (it's somewhat chatty in terms of opal_output() so that you can tell when its functions have been invoked). See the README file in the example op component directory. Developers of new op components are encouraged to look at the following wiki pages: https://svn.open-mpi.org/trac/ompi/wiki/devel/Autogen https://svn.open-mpi.org/trac/ompi/wiki/devel/CreateComponent https://svn.open-mpi.org/trac/ompi/wiki/devel/CreateFramework = MPI_REDUCE_LOCAL = Part of the MPI-2.2 proposal listed here: https://svn.mpi-forum.org/trac/mpi-forum-web/ticket/24 is to add a new function named MPI_REDUCE_LOCAL. It is very easy to implement, so I added it (also because it makes testing the op framework pretty easy -- you can do it in serial rather than via parallel reductions). There's even a man page! This commit was SVN r20280.
2009-01-15 02:44:31 +03:00
// Copyright (c) 2006-2009 Cisco Systems, Inc. All rights reserved.
// $COPYRIGHT$
//
// Additional copyrights may follow
//
// $HEADER$
//
class Op {
public:
// construction
Op();
This is a workaround to bug in the Intel C++ compiler, version 9.1 (all versions up to and including 20060925). The issue has been reported to Intel, along with a small [non-MPI] test program that reproduces the problem (the test program and the OMPI C++ bindings work fine with Intel C++ 9.0 and many other C++ compilers). In short, a static initializer for a global variable (i.e., its constructor is fired before main()) that takes as an argument a reference to a typedef'd type will simply get the wrong value in the argument. Specifically: {{{ namespace MPI { Intracomm COMM_WORLD(MPI_COMM_WORLD); } }}} The constructor for MPI::Intracomm should get the value of &ompi_mpi_comm_world. It does not; it seems to get a random value. As mandated by MPI-2, annex B.13.4, for C/C++ interoperability, the prototype for this constructor is: {{{ class Intracomm { public: Intracomm(const MPI_Comm& data); }; }}} Experiments with icpc 9.1/20060925 have shown that removing the reference from the prototype makes it work (!). After lots of discussions about this issue with a C++ expert (Doug Gregor from IU), we decided the following (cut-n-paste from an e-mail): ----- > So here's my question: given that OMPI's MPI_<CLASS> types are all > pointers, is there any legal MPI program that adheres to the above > bindings that would fail to compile or work properly if we simply > removed the "&" from the second binding, above? I don't know of any way that a program could detect this change. FWIW, the C++ committee has agreed that implementation of the C++ standard library are allowed to decide arbitrarily between const& and by-value. If they don't care, MPI users won't care. When you remove the '&', I suggest also removing the "const". It is redundant, but can trigger some strange name mangling in Sun's C++ compiler. ----- So with this change: * we now work again with the Intel 9.1 compiler * our C++ bindings do not exactly conform to the MPI-2 spec, but valid/legal MPI C++ apps cannot tell the difference (i.e., the functionality is the same) This commit was SVN r12514.
2006-11-09 20:34:12 +03:00
Op(MPI_Op i);
Op(const Op& op);
#if 0 /* OMPI_ENABLE_MPI_PROFILING */
Op(const PMPI::Op& op) : pmpi_op(op) { }
#endif
// destruction
virtual ~Op();
// assignment
Op& operator=(const Op& op);
Op& operator= (const MPI_Op &i);
// comparison
inline bool operator== (const Op &a);
inline bool operator!= (const Op &a);
// conversion functions for inter-language operability
inline operator MPI_Op () const;
// inline operator MPI_Op* (); //JGS const
#if 0 /* OMPI_ENABLE_MPI_PROFILING */
inline operator const PMPI::Op&() const { return pmpi_op; }
#endif
// Collective Communication
//JGS took const out
virtual void Init(User_function *func, bool commute);
virtual void Free();
Two major things in this commit: * New "op" MPI layer framework * Addition of the MPI_REDUCE_LOCAL proposed function (for MPI-2.2) = Op framework = Add new "op" framework in the ompi layer. This framework replaces the hard-coded MPI_Op back-end functions for (MPI_Op, MPI_Datatype) tuples for pre-defined MPI_Ops, allowing components and modules to provide the back-end functions. The intent is that components can be written to take advantage of hardware acceleration (GPU, FPGA, specialized CPU instructions, etc.). Similar to other frameworks, components are intended to be able to discover at run-time if they can be used, and if so, elect themselves to be selected (or disqualify themselves from selection if they cannot run). If specialized hardware is not available, there is a default set of functions that will automatically be used. This framework is ''not'' used for user-defined MPI_Ops. The new op framework is similar to the existing coll framework, in that the final set of function pointers that are used on any given intrinsic MPI_Op can be a mixed bag of function pointers, potentially coming from multiple different op modules. This allows for hardware that only supports some of the operations, not all of them (e.g., a GPU that only supports single-precision operations). All the hard-coded back-end MPI_Op functions for (MPI_Op, MPI_Datatype) tuples still exist, but unlike coll, they're in the framework base (vs. being in a separate "basic" component) and are automatically used if no component is found at runtime that provides a module with the necessary function pointers. There is an "example" op component that will hopefully be useful to those writing meaningful op components. It is currently .ompi_ignore'd so that it doesn't impinge on other developers (it's somewhat chatty in terms of opal_output() so that you can tell when its functions have been invoked). See the README file in the example op component directory. Developers of new op components are encouraged to look at the following wiki pages: https://svn.open-mpi.org/trac/ompi/wiki/devel/Autogen https://svn.open-mpi.org/trac/ompi/wiki/devel/CreateComponent https://svn.open-mpi.org/trac/ompi/wiki/devel/CreateFramework = MPI_REDUCE_LOCAL = Part of the MPI-2.2 proposal listed here: https://svn.mpi-forum.org/trac/mpi-forum-web/ticket/24 is to add a new function named MPI_REDUCE_LOCAL. It is very easy to implement, so I added it (also because it makes testing the op framework pretty easy -- you can do it in serial rather than via parallel reductions). There's even a man page! This commit was SVN r20280.
2009-01-15 02:44:31 +03:00
virtual void Reduce_local(const void *inbuf, void *inoutbuf, int count,
const MPI::Datatype& datatype) const;
virtual bool Is_commutative(void) const;
Two major things in this commit: * New "op" MPI layer framework * Addition of the MPI_REDUCE_LOCAL proposed function (for MPI-2.2) = Op framework = Add new "op" framework in the ompi layer. This framework replaces the hard-coded MPI_Op back-end functions for (MPI_Op, MPI_Datatype) tuples for pre-defined MPI_Ops, allowing components and modules to provide the back-end functions. The intent is that components can be written to take advantage of hardware acceleration (GPU, FPGA, specialized CPU instructions, etc.). Similar to other frameworks, components are intended to be able to discover at run-time if they can be used, and if so, elect themselves to be selected (or disqualify themselves from selection if they cannot run). If specialized hardware is not available, there is a default set of functions that will automatically be used. This framework is ''not'' used for user-defined MPI_Ops. The new op framework is similar to the existing coll framework, in that the final set of function pointers that are used on any given intrinsic MPI_Op can be a mixed bag of function pointers, potentially coming from multiple different op modules. This allows for hardware that only supports some of the operations, not all of them (e.g., a GPU that only supports single-precision operations). All the hard-coded back-end MPI_Op functions for (MPI_Op, MPI_Datatype) tuples still exist, but unlike coll, they're in the framework base (vs. being in a separate "basic" component) and are automatically used if no component is found at runtime that provides a module with the necessary function pointers. There is an "example" op component that will hopefully be useful to those writing meaningful op components. It is currently .ompi_ignore'd so that it doesn't impinge on other developers (it's somewhat chatty in terms of opal_output() so that you can tell when its functions have been invoked). See the README file in the example op component directory. Developers of new op components are encouraged to look at the following wiki pages: https://svn.open-mpi.org/trac/ompi/wiki/devel/Autogen https://svn.open-mpi.org/trac/ompi/wiki/devel/CreateComponent https://svn.open-mpi.org/trac/ompi/wiki/devel/CreateFramework = MPI_REDUCE_LOCAL = Part of the MPI-2.2 proposal listed here: https://svn.mpi-forum.org/trac/mpi-forum-web/ticket/24 is to add a new function named MPI_REDUCE_LOCAL. It is very easy to implement, so I added it (also because it makes testing the op framework pretty easy -- you can do it in serial rather than via parallel reductions). There's even a man page! This commit was SVN r20280.
2009-01-15 02:44:31 +03:00
#if ! 0 /* OMPI_ENABLE_MPI_PROFILING */
protected:
MPI_Op mpi_op;
#endif
#if 0 /* OMPI_ENABLE_MPI_PROFILING */
private:
PMPI::Op pmpi_op;
#endif
};