<div dir="ltr">Hi Jim,<br><div><div class="gmail_extra"><br></div><div class="gmail_extra">Thanks a lot for your reply. the basic way for me to debugging is barrier+printf, right now I only have an evaluation version of totalview. the backtrace using totalview shown below. the udp is the udp collection and create RMA window, image_rms doing MPI_Get to access the window<br>
<br> There is a segment violation, but I don't know why the program stopped at MPI_Win_fence.<br><br>Thanks a lot!<br><br><img src="data:image/png;base64,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" alt=""><br>
<br><br><br><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Jul 10, 2013 at 10:12 AM,  <span dir="ltr"><<a href="mailto:discuss-request@mpich.org" target="_blank">discuss-request@mpich.org</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Send discuss mailing list submissions to<br>
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Today's Topics:<br>
<br>
   1. Re:  MPICH3.0.4 make fails with "No rule to make  target..."<br>
      (Wesley Bland)<br>
   2. Re:  Error in MPI_Finalize on a simple ring test  over TCP<br>
      (Wesley Bland)<br>
   3.  Restrict number of cores, not threads (Bob Ilgner)<br>
   4. Re:  Restrict number of cores, not threads (Wesley Bland)<br>
   5. Re:  Restrict number of cores, not threads (Wesley Bland)<br>
   6. Re:  Error in MPI_Finalize on a simple ring test over TCP<br>
      (Thomas Ropars)<br>
   7.  MPI_Win_fence failed (Sufeng Niu)<br>
   8. Re:  MPI_Win_fence failed (Jim Dinan)<br>
<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Wed, 10 Jul 2013 08:29:06 -0500<br>
From: Wesley Bland <<a href="mailto:wbland@mcs.anl.gov">wbland@mcs.anl.gov</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Subject: Re: [mpich-discuss] MPICH3.0.4 make fails with "No rule to<br>
        make    target..."<br>
Message-ID: <<a href="mailto:F48FC916-31F7-4F82-95F8-2D6A6C45264F@mcs.anl.gov">F48FC916-31F7-4F82-95F8-2D6A6C45264F@mcs.anl.gov</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
Unfortunately, due to the lack of developer resources and interest, the last version of MPICH which was supported on Windows was 1.4.1p. You can find that version on the downloads page:<br>
<br>
<a href="http://www.mpich.org/downloads/" target="_blank">http://www.mpich.org/downloads/</a><br>
<br>
Alternatively, Microsoft maintains a derivative of MPICH which should provide the features you need. You also find a link to that on the downloads page above.<br>
<br>
Wesley<br>
<br>
On Jul 10, 2013, at 1:16 AM, Don Warren <<a href="mailto:don.warren@gmail.com">don.warren@gmail.com</a>> wrote:<br>
<br>
> Hello,<br>
><br>
> As requested in the installation guide, I'm informing this list of a failure to correctly make MPICH3.0.4 on a Win7 system.  The specific error encountered is<br>
> "make[2]: *** No rule to make target `/cygdrive/c/FLASH/mpich-3.0.4/src/mpi/romio/Makefile.am', needed by `/cygdrive/c/FLASH/mpich-3.0.4/src/mpi/romio/Makefile.in'.  Stop."<br>
><br>
> I have confirmed that both Makefile.am and Makefile.in exist in the directory listed.  I'm attaching the c.txt and the m.txt files.<br>
><br>
> Possibly of interest is that the command "make clean" fails at exactly the same folder, with exactly the same error message as shown in m.txt and above.<br>
><br>
> Any advice you can give would be appreciated.  I'm attempting to get FLASH running on my computer, which seems to require MPICH.<br>
><br>
> Regards,<br>
> Don Warren<br>
> <config-make-outputs.zip>_______________________________________________<br>
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<br>
------------------------------<br>
<br>
Message: 2<br>
Date: Wed, 10 Jul 2013 08:39:47 -0500<br>
From: Wesley Bland <<a href="mailto:wbland@mcs.anl.gov">wbland@mcs.anl.gov</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Subject: Re: [mpich-discuss] Error in MPI_Finalize on a simple ring<br>
        test    over TCP<br>
Message-ID: <<a href="mailto:D5999106-2A75-4091-8B0F-EAFA22880862@mcs.anl.gov">D5999106-2A75-4091-8B0F-EAFA22880862@mcs.anl.gov</a>><br>
Content-Type: text/plain; charset=us-ascii<br>
<br>
The value of previous for rank 0 in your code is -1. MPICH is complaining because all of the requests to receive a message from -1 are still pending when you try to finalize. You need to make sure that you are receiving from valid ranks.<br>

<br>
On Jul 10, 2013, at 7:50 AM, Thomas Ropars <<a href="mailto:thomas.ropars@epfl.ch">thomas.ropars@epfl.ch</a>> wrote:<br>
<br>
> Yes sure. Here it is.<br>
><br>
> Thomas<br>
><br>
> On 07/10/2013 02:23 PM, Wesley Bland wrote:<br>
>> Can you send us the smallest chunk of code that still exhibits this error?<br>
>><br>
>> Wesley<br>
>><br>
>> On Jul 10, 2013, at 6:54 AM, Thomas Ropars <<a href="mailto:thomas.ropars@epfl.ch">thomas.ropars@epfl.ch</a>> wrote:<br>
>><br>
>>> Hi all,<br>
>>><br>
>>> I get the following error when I try to run a simple application implementing a ring (each process sends to rank+1 and receives from rank-1). More precisely, the error occurs during the call to MPI_Finalize():<br>

>>><br>
>>> Assertion failed in file src/mpid/ch3/channels/nemesis/netmod/tcp/socksm.c at line 363: sc->pg_is_set<br>
>>> internal ABORT - process 0<br>
>>><br>
>>> Does anybody else also noticed the same error?<br>
>>><br>
>>> Here are all the details about my test:<br>
>>> - The error is generated with mpich-3.0.2 (but I noticed the exact same error with mpich-3.0.4)<br>
>>> - I am using IPoIB for communication between nodes (The same thing happens over Ethernet)<br>
>>> - The problem comes from TCP links. When all processes are on the same node, there is no error. As soon as one process is on a remote node, the failure occurs.<br>
>>> - Note also that the failure does not occur if I run a more complex code (eg, a NAS benchmark).<br>
>>><br>
>>> Thomas Ropars<br>
>>> _______________________________________________<br>
>>> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
>>> To manage subscription options or unsubscribe:<br>
>>> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
>> _______________________________________________<br>
>> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
>> To manage subscription options or unsubscribe:<br>
>> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
>><br>
>><br>
><br>
> <ring_clean.c>_______________________________________________<br>
> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
> To manage subscription options or unsubscribe:<br>
> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
<br>
<br>
<br>
------------------------------<br>
<br>
Message: 3<br>
Date: Wed, 10 Jul 2013 16:41:27 +0200<br>
From: Bob Ilgner <<a href="mailto:bobilgner@gmail.com">bobilgner@gmail.com</a>><br>
To: <a href="mailto:mpich-discuss@mcs.anl.gov">mpich-discuss@mcs.anl.gov</a><br>
Subject: [mpich-discuss] Restrict number of cores, not threads<br>
Message-ID:<br>
        <<a href="mailto:CAKv15b-QgmHkVkoiTFmP3EZXvyy6sc_QeqHQgbMUhnr3Xh9ecA@mail.gmail.com">CAKv15b-QgmHkVkoiTFmP3EZXvyy6sc_QeqHQgbMUhnr3Xh9ecA@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
Dear all,<br>
<br>
I am working on a shared memory processor with 256 cores. I am working from<br>
the command line directly.<br>
<br>
Can I restict the number of cores that I deploy.The command<br>
<br>
mpirun -n 100 myprog<br>
<br>
<br>
will automatically start on 100 cores. I wish to use only 10 cores and have<br>
10 threads on each core. Can I do this with mpich ?  Rememebre that this an<br>
smp abd I can not identify each core individually(as in a cluster)<br>
<br>
Regards, bob<br>
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<br>
------------------------------<br>
<br>
Message: 4<br>
Date: Wed, 10 Jul 2013 09:46:38 -0500<br>
From: Wesley Bland <<a href="mailto:wbland@mcs.anl.gov">wbland@mcs.anl.gov</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Cc: <a href="mailto:mpich-discuss@mcs.anl.gov">mpich-discuss@mcs.anl.gov</a><br>
Subject: Re: [mpich-discuss] Restrict number of cores, not threads<br>
Message-ID: <<a href="mailto:2FAF588E-2FBE-45E4-B53F-E6BC931E3D51@mcs.anl.gov">2FAF588E-2FBE-45E4-B53F-E6BC931E3D51@mcs.anl.gov</a>><br>
Content-Type: text/plain; charset=iso-8859-1<br>
<br>
Threads in MPI are not ranks. When you say you want to launch with -n 100, you will always get 100 processes, not threads. If you want 10 threads on 10 cores, you will need to launch with -n 10, then add your threads according to your threading library.<br>

<br>
Note that threads in MPI do not get their own rank currently. They all share the same rank as the process in which they reside, so if you need to be able to handle things with different ranks, you'll need to use actual processes.<br>

<br>
Wesley<br>
<br>
On Jul 10, 2013, at 9:41 AM, Bob Ilgner <<a href="mailto:bobilgner@gmail.com">bobilgner@gmail.com</a>> wrote:<br>
<br>
> Dear all,<br>
><br>
> I am working on a shared memory processor with 256 cores. I am working from the command line directly.<br>
><br>
> Can I restict the number of cores that I deploy.The command<br>
><br>
> mpirun -n 100 myprog<br>
><br>
><br>
> will automatically start on 100 cores. I wish to use only 10 cores and have 10 threads on each core. Can I do this with mpich ?  Rememebre that this an smp abd I can not identify each core individually(as in a cluster)<br>

><br>
> Regards, bob<br>
> _______________________________________________<br>
> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
> To manage subscription options or unsubscribe:<br>
> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
<br>
<br>
<br>
------------------------------<br>
<br>
Message: 5<br>
Date: Wed, 10 Jul 2013 09:46:38 -0500<br>
From: Wesley Bland <<a href="mailto:wbland@mcs.anl.gov">wbland@mcs.anl.gov</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Cc: <a href="mailto:mpich-discuss@mcs.anl.gov">mpich-discuss@mcs.anl.gov</a><br>
Subject: Re: [mpich-discuss] Restrict number of cores, not threads<br>
Message-ID: <<a href="mailto:2FAF588E-2FBE-45E4-B53F-E6BC931E3D51@mcs.anl.gov">2FAF588E-2FBE-45E4-B53F-E6BC931E3D51@mcs.anl.gov</a>><br>
Content-Type: text/plain; charset=iso-8859-1<br>
<br>
Threads in MPI are not ranks. When you say you want to launch with -n 100, you will always get 100 processes, not threads. If you want 10 threads on 10 cores, you will need to launch with -n 10, then add your threads according to your threading library.<br>

<br>
Note that threads in MPI do not get their own rank currently. They all share the same rank as the process in which they reside, so if you need to be able to handle things with different ranks, you'll need to use actual processes.<br>

<br>
Wesley<br>
<br>
On Jul 10, 2013, at 9:41 AM, Bob Ilgner <<a href="mailto:bobilgner@gmail.com">bobilgner@gmail.com</a>> wrote:<br>
<br>
> Dear all,<br>
><br>
> I am working on a shared memory processor with 256 cores. I am working from the command line directly.<br>
><br>
> Can I restict the number of cores that I deploy.The command<br>
><br>
> mpirun -n 100 myprog<br>
><br>
><br>
> will automatically start on 100 cores. I wish to use only 10 cores and have 10 threads on each core. Can I do this with mpich ?  Rememebre that this an smp abd I can not identify each core individually(as in a cluster)<br>

><br>
> Regards, bob<br>
> _______________________________________________<br>
> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
> To manage subscription options or unsubscribe:<br>
> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
<br>
<br>
<br>
------------------------------<br>
<br>
Message: 6<br>
Date: Wed, 10 Jul 2013 16:50:36 +0200<br>
From: Thomas Ropars <<a href="mailto:thomas.ropars@epfl.ch">thomas.ropars@epfl.ch</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Subject: Re: [mpich-discuss] Error in MPI_Finalize on a simple ring<br>
        test over TCP<br>
Message-ID: <<a href="mailto:51DD74BC.3020009@epfl.ch">51DD74BC.3020009@epfl.ch</a>><br>
Content-Type: text/plain; charset=UTF-8; format=flowed<br>
<br>
Yes, you are right, sorry for disturbing.<br>
<br>
On 07/10/2013 03:39 PM, Wesley Bland wrote:<br>
> The value of previous for rank 0 in your code is -1. MPICH is complaining because all of the requests to receive a message from -1 are still pending when you try to finalize. You need to make sure that you are receiving from valid ranks.<br>

><br>
> On Jul 10, 2013, at 7:50 AM, Thomas Ropars <<a href="mailto:thomas.ropars@epfl.ch">thomas.ropars@epfl.ch</a>> wrote:<br>
><br>
>> Yes sure. Here it is.<br>
>><br>
>> Thomas<br>
>><br>
>> On 07/10/2013 02:23 PM, Wesley Bland wrote:<br>
>>> Can you send us the smallest chunk of code that still exhibits this error?<br>
>>><br>
>>> Wesley<br>
>>><br>
>>> On Jul 10, 2013, at 6:54 AM, Thomas Ropars <<a href="mailto:thomas.ropars@epfl.ch">thomas.ropars@epfl.ch</a>> wrote:<br>
>>><br>
>>>> Hi all,<br>
>>>><br>
>>>> I get the following error when I try to run a simple application implementing a ring (each process sends to rank+1 and receives from rank-1). More precisely, the error occurs during the call to MPI_Finalize():<br>

>>>><br>
>>>> Assertion failed in file src/mpid/ch3/channels/nemesis/netmod/tcp/socksm.c at line 363: sc->pg_is_set<br>
>>>> internal ABORT - process 0<br>
>>>><br>
>>>> Does anybody else also noticed the same error?<br>
>>>><br>
>>>> Here are all the details about my test:<br>
>>>> - The error is generated with mpich-3.0.2 (but I noticed the exact same error with mpich-3.0.4)<br>
>>>> - I am using IPoIB for communication between nodes (The same thing happens over Ethernet)<br>
>>>> - The problem comes from TCP links. When all processes are on the same node, there is no error. As soon as one process is on a remote node, the failure occurs.<br>
>>>> - Note also that the failure does not occur if I run a more complex code (eg, a NAS benchmark).<br>
>>>><br>
>>>> Thomas Ropars<br>
>>>> _______________________________________________<br>
>>>> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
>>>> To manage subscription options or unsubscribe:<br>
>>>> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
>>> _______________________________________________<br>
>>> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
>>> To manage subscription options or unsubscribe:<br>
>>> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
>>><br>
>>><br>
>> <ring_clean.c>_______________________________________________<br>
>> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
>> To manage subscription options or unsubscribe:<br>
>> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
> _______________________________________________<br>
> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
> To manage subscription options or unsubscribe:<br>
> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
><br>
><br>
<br>
<br>
<br>
------------------------------<br>
<br>
Message: 7<br>
Date: Wed, 10 Jul 2013 10:07:21 -0500<br>
From: Sufeng Niu <<a href="mailto:sniu@hawk.iit.edu">sniu@hawk.iit.edu</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Subject: [mpich-discuss] MPI_Win_fence failed<br>
Message-ID:<br>
        <<a href="mailto:CAFNNHkz_1gC7hfpx0G9j24adO-gDabdmwZ4VuT6jip-fDMhS9A@mail.gmail.com">CAFNNHkz_1gC7hfpx0G9j24adO-gDabdmwZ4VuT6jip-fDMhS9A@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
Hello,<br>
<br>
I used MPI RMA in my program, but the program stop at the MPI_Win_fence, I<br>
have a master process receive data from udp socket. Other processes use<br>
MPI_Get to access data.<br>
<br>
master process:<br>
<br>
MPI_Create(...)<br>
for(...){<br>
/* udp recv operation */<br>
<br>
MPI_Barrier  // to let other process know data received from udp is ready<br>
<br>
MPI_Win_fence(0, win);<br>
MPI_Win_fence(0, win);<br>
<br>
}<br>
<br>
other processes:<br>
<br>
for(...){<br>
<br>
MPI_Barrier  // sync for udp data ready<br>
<br>
MPI_Win_fence(0, win);<br>
<br>
MPI_Get();<br>
<br>
MPI_Win_fence(0, win);  <-- program stopped here<br>
<br>
/* other operation */<br>
}<br>
<br>
I found that the program stopped at second MPI_Win_fence, the terminal<br>
output is:<br>
<br>
<br>
===================================================================================<br>
=   BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES<br>
=   EXIT CODE: 11<br>
=   CLEANING UP REMAINING PROCESSES<br>
=   YOU CAN IGNORE THE BELOW CLEANUP MESSAGES<br>
===================================================================================<br>
YOUR APPLICATION TERMINATED WITH THE EXIT STRING: Segmentation fault<br>
(signal 11)<br>
This typically refers to a problem with your application.<br>
Please see the FAQ page for debugging suggestions<br>
<br>
Do you have any suggestions? Thank you very much!<br>
<br>
--<br>
Best Regards,<br>
Sufeng Niu<br>
ECASP lab, ECE department, Illinois Institute of Technology<br>
Tel: <a href="tel:312-731-7219" value="+13127317219">312-731-7219</a><br>
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<br>
------------------------------<br>
<br>
Message: 8<br>
Date: Wed, 10 Jul 2013 11:12:45 -0400<br>
From: Jim Dinan <<a href="mailto:james.dinan@gmail.com">james.dinan@gmail.com</a>><br>
To: <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
Subject: Re: [mpich-discuss] MPI_Win_fence failed<br>
Message-ID:<br>
        <CAOoEU4F3hX=y3yrJKYKucNeiueQYBeR_3OQas9E+mg+GM6Rz=<a href="mailto:w@mail.gmail.com">w@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
It's hard to tell where the segmentation fault is coming from.  Can you use<br>
a debugger to generate a backtrace?<br>
<br>
 ~Jim.<br>
<br>
<br>
On Wed, Jul 10, 2013 at 11:07 AM, Sufeng Niu <<a href="mailto:sniu@hawk.iit.edu">sniu@hawk.iit.edu</a>> wrote:<br>
<br>
> Hello,<br>
><br>
> I used MPI RMA in my program, but the program stop at the MPI_Win_fence, I<br>
> have a master process receive data from udp socket. Other processes use<br>
> MPI_Get to access data.<br>
><br>
> master process:<br>
><br>
> MPI_Create(...)<br>
> for(...){<br>
> /* udp recv operation */<br>
><br>
> MPI_Barrier  // to let other process know data received from udp is ready<br>
><br>
> MPI_Win_fence(0, win);<br>
> MPI_Win_fence(0, win);<br>
><br>
> }<br>
><br>
> other processes:<br>
><br>
> for(...){<br>
><br>
> MPI_Barrier  // sync for udp data ready<br>
><br>
> MPI_Win_fence(0, win);<br>
><br>
> MPI_Get();<br>
><br>
> MPI_Win_fence(0, win);  <-- program stopped here<br>
><br>
> /* other operation */<br>
> }<br>
><br>
> I found that the program stopped at second MPI_Win_fence, the terminal<br>
> output is:<br>
><br>
><br>
><br>
> ===================================================================================<br>
> =   BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES<br>
> =   EXIT CODE: 11<br>
> =   CLEANING UP REMAINING PROCESSES<br>
> =   YOU CAN IGNORE THE BELOW CLEANUP MESSAGES<br>
><br>
> ===================================================================================<br>
> YOUR APPLICATION TERMINATED WITH THE EXIT STRING: Segmentation fault<br>
> (signal 11)<br>
> This typically refers to a problem with your application.<br>
> Please see the FAQ page for debugging suggestions<br>
><br>
> Do you have any suggestions? Thank you very much!<br>
><br>
> --<br>
> Best Regards,<br>
> Sufeng Niu<br>
> ECASP lab, ECE department, Illinois Institute of Technology<br>
> Tel: <a href="tel:312-731-7219" value="+13127317219">312-731-7219</a><br>
><br>
> _______________________________________________<br>
> discuss mailing list     <a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
> To manage subscription options or unsubscribe:<br>
> <a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
><br>
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<br>
------------------------------<br>
<br>
_______________________________________________<br>
discuss mailing list<br>
<a href="mailto:discuss@mpich.org">discuss@mpich.org</a><br>
<a href="https://lists.mpich.org/mailman/listinfo/discuss" target="_blank">https://lists.mpich.org/mailman/listinfo/discuss</a><br>
<br>
End of discuss Digest, Vol 9, Issue 27<br>
**************************************<br>
</blockquote></div><br><br clear="all"><br>-- <br>Best Regards,<div>Sufeng Niu</div><div>ECASP lab, ECE department, Illinois Institute of Technology</div><div>Tel: 312-731-7219</div>
</div></div></div>