I tried your program with avoid truncate and it works fine for me.
I am using MPICH 3.2 though.

Were you getting other errors reported from the library other than the trace 
that you provided?

Mohamad

From: Hdf-forum 
<[email protected]<mailto:[email protected]>>
 on behalf of "Nelson, Jarom" <[email protected]<mailto:[email protected]>>
Reply-To: hdf-forum 
<[email protected]<mailto:[email protected]>>
Date: Wednesday, February 24, 2016 at 2:19 PM
To: hdf-forum 
<[email protected]<mailto:[email protected]>>
Subject: Re: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. 
H5F_ACC_EXCL

OK, property list type corrected in the attached. With the correct property 
list type, I’m getting an infinite loop closing the library (error stack 
attached) if I set the avoid_truncate flag. Same code with H5P_DEFAULT works 
fine.

I’ll try the collective metadata write next. Data is contiguous, but is written 
out as separate hyperslabs across ranks.
Thanks!

Jarom

From: Hdf-forum [mailto:[email protected]] On Behalf Of 
Mohamad Chaarawi
Sent: Wednesday, February 24, 2016 11:46 AM
To: HDF Users Discussion List
Subject: Re: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. 
H5F_ACC_EXCL

10s of datasets and groups do seem like a fairly reasonable amount of metadata 
to see benefits from the collective metadata write option. If the datasets are 
chunked, that means more metadata is generated too. I would try the collective 
write feature and see if the file close speeds up. It does so significantly in 
most scenarios we have tested it with.

Mohamad


From: Hdf-forum [mailto:[email protected]] On Behalf Of 
Mohamad Chaarawi
Sent: Wednesday, February 24, 2016 11:40 AM
To: HDF Users Discussion List
Subject: Re: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. 
H5F_ACC_EXCL

Hi Jarom,

You are using the file access property list for the H5Pset_avoid_truncate call.
This requires a file creation property list.

Thanks,
Mohamad

From: Hdf-forum 
<[email protected]<mailto:[email protected]>>
 on behalf of "Nelson, Jarom" <[email protected]<mailto:[email protected]>>
Reply-To: hdf-forum 
<[email protected]<mailto:[email protected]>>
Date: Wednesday, February 24, 2016 at 1:28 PM
To: hdf-forum 
<[email protected]<mailto:[email protected]>>
Subject: Re: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. 
H5F_ACC_EXCL

Testing out the H5Pset_avoid_truncate call, I get the following error when I 
attempt to set this property on my file access property list:

HDF5-DIAG: Error detected in HDF5 (1.9.233) MPI-process 0:
  #000: H5Pfcpl.c line 1422 in H5Pset_avoid_truncate(): can't find object for ID
    major: Object atom
    minor: Unable to find atom information (already closed?)
  #001: H5Pint.c line 3789 in H5P_object_verify(): property list is not a 
member of the class
    major: Property lists
    minor: Unable to register new atom

Attached is my simple test program that produces the above error.

Despite the error, my application ran to completion and the file generated 
appears to work correctly, though it is a very simple test case file. However, 
I suspect that the property is not being set correctly, because the change does 
not seem to improve the time it takes to close the HDF5 file. Comparisons using 
my non-toy program show an increase in time to write and close the file from 64 
ranks to 128 ranks (~9 seconds to ~12 seconds).


Note, I’m hopefully optimistic that I built the library correctly from the 
branch given. Building the avoid_truncate branch checkout from svn didn’t match 
the build instructions for a release. I ended up doing the following:

### install autoconf version 2.69
./autogen.sh
CC=$(which mpicc) ./configure --enable-parallel --with-zlib
make ### this failed complaining that libtool didn’t have any targets 
configured, or some similar error message
./config.status
./config.lt
make  ### this now worked, I think
make check
make install
make check-install

After that, the new library linked OK with my test code, and it appears that 
despite the error . TBD whether it is actually working correctly.

Jarom

From: Hdf-forum [mailto:[email protected]] On Behalf Of 
Nelson, Jarom
Sent: Tuesday, February 23, 2016 2:55 PM
To: HDF Users Discussion List
Subject: Re: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. 
H5F_ACC_EXCL

Thanks for your help. I’ll attempt to build my application using your 
avoid_truncate branch and see if it helps with the truncation issue. I may ping 
for assistance here, since my initial attempts to build HDF5 from the 
avoid_truncate branch are coming up with some problems.

Regarding the metadata issue, I don’t have any extra metadata other than that 
required for creating datasets and groups. I wouldn’t call this a “significant 
amount” of metadata. We are talking tens of datasets in a handful of groups, 
mostly written only by rank 0. The bulk of the data written is in one array 
distributed across ranks and written out in hyperslabs in parallel. Though, 
since all the Dataset and Group creation calls are collective calls, it may 
amount to a much more significant amount of metadata.

Should I be concerned about the collective calls to create groups and datasets 
generating a large overhead of metadata and slowing down the file write and 
close? Or is it just when the application generates a large amount of extra 
metadata that the metadata write can start to be a significant slowdown?

Jarom
From: Hdf-forum [mailto:[email protected]] On Behalf Of 
Mohamad Chaarawi
Sent: Tuesday, February 23, 2016 10:23 AM
To: HDF Users Discussion List
Subject: Re: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. 
H5F_ACC_EXCL

Hi Jarom,

H5_ACC_TRUNC does not have anything to do with calling mpio_truncate at file 
close. You should use that when creating the file if you want to override it.
What this mode does at file open is call MPI_File_set_size() to 0 basically to 
empty the file.

Now for the file close performance issue there could be several causes for 
that. One of them could be the truncate issue. We actually have a patch for 
that to avoid truncating the file at file close but modify the file format to 
store both EOA and EOF. This does not work with the 1.8 release. Unfortunately 
it won't be in the 1.10.0 release either because there are other issues in the 
library that have to be resolved before this can be merged in. I do highly 
anticipate that it will be in 1.10.1 though. For now you can test to see if 
this is the actual cause be using this development branch of HDF5 here:
https://secure-web.cisco.com/1Sgj6HO-TTxegah2HHq3RKNI4BCSLzcIEwTBdd-A5_9jQz1AsUxtHMieBImjEPQR2Z_zbUgVNH23BfDWmMg_SkR71_MNTExRJIAFRoMQ0leuU05fwk01Pqagh5Tn5kiLKVShMuahdHSiVXOJpX-KErew1UWB3oWJKiJeBkY019D8BS-4dDCxbmhUDmI-AVP5D4Sq7avkODjtKE2r7TK0Oo0t-mhxC3NH1AnZYWMEm6tq6pLLZIO7pltDnYJvVB9zmHROPozQyEnA2XFwfNwPHeb67cofbpmdFPfOJDLi6cNErnZMnSVYNpJZKKH3LiqyUrtOckXn3W1Zidi1VwvV16gm_uYMi7UP7a0kC4_g80Vk/https%3A%2F%2Fsvn.hdfgroup.org%2Fhdf5%2Ffeatures%2Favoid_truncate/
And set H5Pset_avoid_truncate(fcpl, H5F_AVOID_TRUNCATE_ALL); on the file 
creation property list.
Again this is a development branch (not production) so don't keep your HDF5 
files.

The second issue (more likely the cause for bad performance I believe) could be 
the cost of writing out metadata at file close. If you have a significant 
amount of HDF5 metadata generated by your application, writing out the metadata 
at file close is very costly currently with the 1.8 release. It wasn't done in 
a parallel file system friendly manner. In 1.10 we improved this by adding an 
option for users to set the metadata writes done at file close be issued in one 
collective MPI write call. To use that feature, you can install the HDF5 trunk 
version and set this property on the file access property list:
H5Pset_coll_metadata_write (fapl_id, true);

You can get HDF5 trunk here:

https://secure-web.cisco.com/1T5Jb_57z-qywc3MIOU9Qul5b2gjUHXYrHYDe6_absHc0IiqIO2UGuVdIAr5xlQRrn98adKVUgkYuAJW4OgGW2VZyVp9eHsOvALN7GWbTYz0AAeRMeb5qTN3JGSPRewWly_IK5WNE0E8a18houCsycm0flpNPt-1VNpKAOGRJBpTKuzLdAmGq76R1dfHkVeJfyzr-84dblPHdZqe5hj9u2x4ZXwUTQDnbpyiM800pf3AXZmuTu-b4VX72YxHdMnolcbqyTsj5MhcjcwgTXnYZxGMQvn2ahUeGvyGXi5abX808EmkIFdv_gyVXRMcR8TpG_mypin7jyIw_R10kap9FUkpNRWB-TXYqMHRjvG0NEqQ/https%3A%2F%2Fsvn.hdfgroup.org%2Fhdf5%2Ftrunk%2F

This feature will be in the 1.10.0 release that should be out in the next month 
or so.



Thanks,

Mohamad



From: Hdf-forum 
<[email protected]<mailto:[email protected]>>
 on behalf of "Nelson, Jarom" <[email protected]<mailto:[email protected]>>
Reply-To: hdf-forum 
<[email protected]<mailto:[email protected]>>
Date: Tuesday, February 23, 2016 at 11:53 AM
To: hdf-forum 
<[email protected]<mailto:[email protected]>>
Subject: [Hdf-forum] H5Fcreate on Parallel HDF5: H5F_ACC_TRUNC vs. H5F_ACC_EXCL

Is H5F_ACC_TRUNC the right create option for pre-existing files with parallel 
HDF5 when I want to overwrite the existing file?

Looking at the performance, it seems that one of the most costly actions when 
running my application is closing out the file, and the top “hot call path” 
includes the H5FD_mpio_truncate method, and in the comments on that function, 
it indicates that keeping track of EOF is a costly operation over MPI. Looking 
through the code, it appears that if I don’t use H5F_ACC_TRUNC, it will avoid 
the overhead of the H5FD_mpio_truncate method.

I’ve used H5F_ACC_TRUNC on serial codes without problems, and it is the option 
used in several example applications for parallel applications.
Is it better to just delete the pre-existing file and then create the file 
using H5F_ACC_EXCL?

Am I missing something here?

Jarom Nelson

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