Re: [mpich-discuss] Use of MPI derived data types / MPI file IO

19 Nov 2012

      Hi Wei-keng,

It now works! Thanks for the help!

One last question to the list:

I've looked at the MPI 2 standards documents, and I'm still a little confused as to 
the precise semantics of MPI_Type_free(); as "MPI_Datatype" is an opaque type, 
I'm assuming that there is a certain amount of background allocation going on 
inside the MPI runtime when I call something like MPI_Type_create_struct() or 
similar routines.

Am I right in assuming that I should call MPI_Type_free() on *all* derived data 
types I generate, even if they are not subsequently registered using 
MPI_Type_commit()? I would imagine that any other behaviour is likely to lead to 
memory leaks!

Cheers,

J.

---- Original message ----
...
Date: Sun, 18 Nov 2012 18:58:37 -0600
From: [email protected] (on behalf of Wei-keng Liao 
<[email protected]>)
Subject: Re: [mpich-discuss] Use of MPI derived data types / MPI file IO  
To: [email protected]
Hi, John,
You certainly are on the right track to achieve that. Your code is almost
there, only the call to MPI_File_set_view is incorrect. In fact, you don't need it.
Try remove the call to MPI_File_set_view and replace the MPI_File_write_all with:
MPI_File_write_at_all(f, offset, &atoms[0], (int)atoms.size(), 
mpi_atom_type_resized, &stat);
On the reader side, you need to set the offset based on the new struct. Other 
than
that, it is the same as the writer case. (no need of MPI_File_set_view either).
As for the portability issue, I would suggest you to use high-level I/O libraries,
such as PnetCDF.
Wei-keng
On Nov 18, 2012, at 12:38 PM, <[email protected]> 
<[email protected]> wrote:
...
Hi Wei-keng,
That's a good point, thanks!
However, I actually only want to save certain parts of the "atom" structure to 
file, 
and saving the whole array as a raw dump could waste a lot of disk space.
For example, the "atom" structure I used in the example code in reality 
contains 
not only an integer and three contiguous doubles, but also at least another 
two 
double[3] entries which I may not want to save to disk. As the full data set 
can 
be hundreds of millions (or even billions) of "atom" structures, using a 
derived 
data type with only a restricted subset of the data in each "atom" structure 
will 
produce considerably smaller file sizes!
There's also the problem of making the resultant file "portable" - raw 
memory 
dumps could make life difficult in trying to use output files on machines with 
different processor architectures. Once I get the derived data types working, 
I 
can then switch from the "native" representation to something else 
("external32" 
etc), which should allow me to create portable output files, provided I'm 
careful 
with using MPIs file offset routines etc if the file is larger than plain old 32 
bit 
offsets can handle.
Cheers,
J.
...
Date: Sun, 18 Nov 2012 12:27:04 -0600
From: [email protected] (on behalf of Wei-keng Liao 
<[email protected]>)
Subject: Re: [mpich-discuss] Use of MPI derived data types / MPI file IO  
To: [email protected]
Hi, John
If your I/O is simply appending one process's data after another and the 
I/O 
buffers in memory
are all contiguous, then you can simply do the following without defining 
MPI
derived data types or setting the file view.
MPI_File_write_at_all(f, offset, &atoms[0], (int)atoms.size() * sizeof(struct 
atom), 
MPI_BYTE, &stat);
Using derived data types is usually when you have noncontiguous buffer in 
memory or
want to access non-contiguous data in files.
Wei-keng
On Nov 18, 2012, at 11:52 AM, <[email protected]> 
<[email protected]> wrote:
...
Hi all,
I'm having some problems with using derived data types and MPI parallel 
IO, 
and 
was wondering if anyone could help. I tried to search the archives in case 
this 
was covered earlier, but that just gave me "ht://Dig error" messages.
Outline: I have written a C++ program where each MPI rank acts on data 
stored 
in a local array of structures. The arrays are typically of different lengths 
on 
each 
rank. I wish to write and read the contents of these arrays to disk using 
MPI's 
parallel IO routines. The file format is simply an initial integer which 
describes 
how many "structures" are in the file, followed by the data which 
represents 
the 
"structure information" from all ranks (ie the total data set).
So far, I've tried two different approaches: the first consists of each rank 
serialising the contents of the local array of structures into a byte array, 
which is 
then saved to file "f" using MPI_File_set_view( f, MPI_COMM_WORLD, 
offset, 
MPI_CHAR, MPI_CHAR, "native", MPI_INFO_NULL ) to skip the initial integer 
"header" and then a call to MPI_File_write_all( f, local_bytearray, 
local_n_bytes, 
MPI_CHAR, &status ). Here, "offset" is simply the size of an integer (in 
bytes)
---- Original message ----
+
...
...
the summation of the number of bytes each preceeding rank wishes to 
write 
to 
the file (received via an earlier MPI_Allgather call). This seems to work, as 
when I 
read the file back in on a single MPI rank and deserialise the data into an 
array of 
structures I get the results I expect.
The second approach is to use MPI's derived data types to create MPI 
representations of the structures, and then treat the arrays of structures 
as 
MPI 
data types. This allows me to avoid copying the local data into an 
intermediate 
buffer etc, and seems the more elegant approach. I cannot, however, 
seem 
to 
make this approach work.
I'm pretty sure the problem lies in my use of the file views, but I'm not 
sure 
where I'm going wrong. The reading of the integer "header" always works 
fine, 
but the proceeding data is garbled. I'm using the "native" data 
representation 
for 
testing, but will likely change that to something more portable when I get 
this 
code working.
I've included the important excerpts of the test code I'm trying to use 
below 
(with some printf()s and error handling etc removed to make it a little 
more 
concise). I have previously tested that std::vector allocates a contiguous 
flat 
array of the appropriate data type in memory, so passing a 
pointer/reference 
to 
the first element in such a data structure behaves the same way as simply 
passing a conventional array of the appropriate data type:
struct atom
{
  int global_id;
  double xyz[3];
};
void write( char * fpath, std::vector<struct atom> &atoms, int rank, int 
nranks )
{
  /*
      Memory layout information for the structure we wish to convert 
into 
an
      MPI derived data type.
  */
  std::vector<int> s_blocklengths;
  std::vector<MPI_Aint> s_displacements;
  std::vector<MPI_Datatype> s_datatypes;
  MPI_Aint addr_start, addr;
  MPI_Datatype mpi_atom_type, mpi_atom_type_resized;
  int type_size;
struct atom a;
MPI_File f;
  MPI_Status stat;
  MPI_Offset offset;
  char *datarep = (char *)"native";
std::vector<int> all_N;
  int local_N, global_N;
/*
      Set up the structure data type: single integer, and 3 double 
precision 
floats.
      We use the temporary "a" structure to determine the layout of 
memory 
inside
      atom structures.
  */
  MPI_Get_address( &a, &addr_start );
s_blocklengths.push_back( 1 );
  s_datatypes.push_back( MPI_INT );
  MPI_Get_address( &a.global_id, &addr );
  s_displacements.push_back( addr - addr_start );
s_blocklengths.push_back( 3 );
  s_datatypes.push_back( MPI_DOUBLE );
  MPI_Get_address( &a.xyz[0], &addr );
  s_displacements.push_back( addr - addr_start );
MPI_Type_create_struct( (int)s_blocklengths.size(), &s_blocklengths[0], 
&s_displacements[0], &s_datatypes[0], &mpi_atom_type );
  MPI_Type_commit( &mpi_atom_type );
/*
      Take into account any compiler padding in creating an array of 
structures.
  */
  MPI_Type_create_resized( mpi_atom_type, 0, sizeof(struct atom), 
&mpi_atom_type_resized );
  MPI_Type_commit( &mpi_atom_type_resized );
MPI_Type_size( mpi_atom_type_resized, &type_size );
local_N = (int)atoms.size();
  all_N.resize( nranks );
MPI_Allgather( &local_N, 1, MPI_INT, &all_N[0], 1, MPI_INT, 
MPI_COMM_WORLD );
global_N = 0;
  for( size_t i=0; i<all_N.size(); i++ ) global_N += all_N[i];
offset = 0;
  for( int i=0; i<rank; i++ ) offset += all_N[i];
offset *= type_size; // convert from structure counts -> bytes into file 
for 
true structure size
  offset += sizeof( int ); // skip leading integer (global_N) in file.
MPI_File_open( MPI_COMM_WORLD, fpath, MPI_MODE_CREATE | 
MPI_MODE_WRONLY, MPI_INFO_NULL, &f );
  if( rank == 0 )
  {
      MPI_File_write( f, &global_N, 1, MPI_INT, &stat );
  }
  MPI_File_set_view( f, offset, mpi_atom_type_resized, 
mpi_atom_type_resized, datarep, MPI_INFO_NULL );
MPI_File_write_all( f, &atoms[0], (int)atoms.size(), 
mpi_atom_type_resized, 
&stat );
  MPI_File_close( &f );
MPI_Type_free( &mpi_atom_type );
  MPI_Type_free( &mpi_atom_type_resized );
return;
}
void read( char * fpath, std::vector<struct atom> &atoms )
{
  std::vector<int> s_blocklengths;
  std::vector<MPI_Aint> s_displacements;
  std::vector<MPI_Datatype> s_datatypes;
  MPI_Datatype mpi_atom_type, mpi_atom_type_resized;
struct atom a;
  MPI_Aint addr_start, addr;
MPI_File f;
  MPI_Status stat;
int global_N;
  char *datarep = (char *)"native";
int type_size;
/*
      Set up the structure data type
  */
  MPI_Get_address( &a, &addr_start );
s_blocklengths.push_back( 1 );
  s_datatypes.push_back( MPI_INT );
  MPI_Get_address( &a.global_id, &addr );
  s_displacements.push_back( addr - addr_start );
s_blocklengths.push_back( 3 );
  s_datatypes.push_back( MPI_DOUBLE );
  MPI_Get_address( &a.xyz[0], &addr );
  s_displacements.push_back( addr - addr_start );
MPI_Type_create_struct( (int)s_blocklengths.size(), &s_blocklengths[0], 
&s_displacements[0], &s_datatypes[0], &mpi_atom_type );
  MPI_Type_commit( &mpi_atom_type );
/*
      Take into account any compiler padding in creating an array of 
structures.
  */
  MPI_Type_create_resized( mpi_atom_type, 0, sizeof(struct atom), 
&mpi_atom_type_resized );
  MPI_Type_commit( &mpi_atom_type_resized );
MPI_Type_size( mpi_atom_type_resized, &type_size );
MPI_File_open( MPI_COMM_SELF, fpath, MPI_MODE_RDONLY, 
MPI_INFO_NULL, &f );
MPI_File_read( f, &global_N, 1, MPI_INT, &stat );
atoms.clear();
  atoms.resize( global_N );
errcode = MPI_File_set_view( f, sizeof(int), mpi_atom_type_resized, 
mpi_atom_type_resized, datarep, MPI_INFO_NULL );
  errcode = MPI_File_read( f, &atoms[0], global_N, 
mpi_atom_type_resized, 
&stat );
  errcode = MPI_File_close( &f );
MPI_Type_free( &mpi_atom_type );
  MPI_Type_free( &mpi_atom_type_resized );
return;
}
Calling MPI_Type_get_extent() and MPI_Type_get_true_extent() for both 
mpi_atom_type and mpi_atom_type_resized returns (0,32) bytes in all 
cases. 
Calling MPI_Type_size() on both derived data types returns 28 bytes.
If I call MPI_File_get_type_extent() on both derived data types after 
opening 
the 
file, they both resolve to 32 bytes - so I think the problem is in the 
difference 
between the data representation in memory and on disk. If I explicitly use 
32 
bytes in the offset calculation in the write() routine above, it still doesn't 
work.
I'm finding it remarkably difficult to do something very simple using MPI's 
derived data types and the parallel IO, and hence I'm guessing that I have 
fundamentally misunderstood one or more aspects of this. If anyone can 
help 
clarify where I'm going wrong, that would be much appreciated!
Cheers,
John.
_______________________________________________
discuss mailing list     [email protected]
To manage subscription options or unsubscribe:
https://lists.mpich.org/mailman/listinfo/discuss
_______________________________________________
discuss mailing list     [email protected]
To manage subscription options or unsubscribe:
https://lists.mpich.org/mailman/listinfo/discuss

discuss mailing list     [email protected]
To manage subscription options or unsubscribe:
https://lists.mpich.org/mailman/listinfo/discuss
_______________________________________________
discuss mailing list     [email protected]
To manage subscription options or unsubscribe:
https://lists.mpich.org/mailman/listinfo/discuss

jgrime＠uchicago.edu

tags

participants (1)