Freesurfer August 2010

freesurfer@nmr.mgh.harvard.edu

102 participants
152 discussions

Antw: Re: Antw: Re: CUDA Error - all CUDA-capable devices are busy or unavailable
by Daniel Guellmar 23 Aug '10

23 Aug '10

ls -alF `which mri_em_register_cuda` says -rwxrwxr-x 1 6635 160 28831410 2010-08-18 13:56 /opt/medphys/freesurfer/5.0.0-amd64/bin/mri_em_register_cuda* Adding a time shift of 6 hours (germany) the create time is 07:56 ... ldd of the binary shows ldd /opt/medphys/freesurfer/5.0.0-amd64/bin/mri_em_register_cuda linux-vdso.so.1 => (0x00007fff2b5a2000) libcuda.so.1 => /usr/lib/libcuda.so.1 (0x00007f6781e9b000) libcudart.so.3 => /opt/medphys/cuda/cuda-toolkit-current/lib64/libcudart.so.3 (0x00007f6781c68000) libz.so.1 => /lib/libz.so.1 (0x00007f6781a51000) libcrypt.so.1 => /lib/libcrypt.so.1 (0x00007f6781818000) libdl.so.2 => /lib/libdl.so.2 (0x00007f6781614000) libpthread.so.0 => /lib/libpthread.so.0 (0x00007f67813f8000) libstdc++.so.6 => /usr/lib/libstdc++.so.6 (0x00007f67810e8000) libm.so.6 => /lib/libm.so.6 (0x00007f6780e64000) libgcc_s.so.1 => /lib/libgcc_s.so.1 (0x00007f6780c4d000) libc.so.6 => /lib/libc.so.6 (0x00007f67808dd000) librt.so.1 => /lib/librt.so.1 (0x00007f67806d5000) /lib64/ld-linux-x86-64.so.2 (0x00007f6782883000) the libcuda.so.1 links to /usr/lib/libcuda.so.256.40 ... which version do you use at the center? Daniel >>> Nick Schmansky <nicks(a)nmr.mgh.harvard.edu> 23.08.10 20.23 Uhr >>> is the date on your mri_em_register_cuda 'Aug 18 07:56'? to see this, type: ls -alF `which mri_em_register_cuda` i've just re-downloaded the fscudabins-linux-centos4_x86_64.tgz tarball and tested mri_em_register_cuda on a C1060 we have and it seems to work. n. On Mon, 2010-08-23 at 12:42 +0200, Daniel Guellmar wrote: > Hi Nick, > > thank you for your quick reply and the explanation. Unfortunately the > new binary still do not work. The error message changes now to .. > > Acquiring CUDA device > Using default device > CUDA Error in file 'devicemanagement.cu' on line 46 : invalid > argument. > > This error occurs on a Tesla C1060 and on Tesla C2050. I haven't tried > on regular GPU cards, but will manage to do so in the next days ... > > Any ideas, what could be wrong? > > Daniel > > >>> Nick Schmansky <nicks(a)nmr.mgh.harvard.edu> schrieb am 8/20/2010 um > 9:55 in > Nachricht <1282334139.31414.17.camel(a)terrier.nmr.mgh.harvard.edu>: > > CUDA users, > > > > The problem with the _cuda binaries (message: CUDA Error in file > > 'devicemanagement.cu'...) has been fixed, and new binaries are > available > > for download from here: > > > > > ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/linux-centos4_x86_ > > > 64/ > > > > download the file 'fscudabins-linux-centos4_x86_64.tgz' and extract > it > > (tar zxvf <filename>) into your $FREESURFER_HOME/bin directory. This > is > > for the 64b linux platform only (centos 4 and 5). > > > > fyi, the problem was that the utility UPX, which is run on the > publicly > > distributed freesurfer binaries to reduce their size, seemed to > cause > > this strange problem. > > > > Let us know how these utilities work. In particular we'd like to get > a > > sense of the type of NVIDIA GPU cards people are using. > > > > Nick > > > > > > On Thu, 2010-08-19 at 12:57 -0400, Nick Schmansky wrote: > >> hello cuda beta users! this problem 'all CUDA-capable > >> devices are busy or unavailable.', seems to fall into the category > of > >> 'post-release curse', because i am seeing this problem locally as > well, > >> but havent seen it in the months we've been using the gpu code. we > have > >> found rebooting the machine seems to work, but thats not a real > >> solution. i suspect our detection scheme is tripping a flag in the > >> driver thats not getting untripped or cleared the next time around. > >> > >> when we find a better solution, we'll post new _cuda libs on our > site, > >> which i'm expecting will be a regular occurrence over the next few > >> months. glad to see so many willing gpu users though! > >> > >> n. > >> > >> > >> On Thu, 2010-08-19 at 17:08 +0200, Daniel Guellmar wrote: > >> > Hi folks, > >>> >> > I'm trying to employ the new cuda binaries, which come with > freesurfer > >> > version 5.0.0, however, if I'm trying to execute a cuda binary > (e.g. > >> > mri_ca_register_cuda) I get the following output: > >> > > >> > Acquiring CUDA device > >> > Using default device > >> > CUDA Error in file 'devicemanagement.cu' on line 46 : all > CUDA-capable > >> > devices are busy or unavailable. > >> > > >> > This error occurs on two different systems which are cuda capable. > Both > >> > systems run with Ubuntu 9.10, both have the latest developer > driver for > >> > linux (256.40) and the latest cuda toolkit (3.1) on it. The GPU > >> > Computing SDK code samples compile and work fine. The device query > on > >> > both hosts work fine ... see following output > >> > > >> > Host 1: > >> > > >> > CUDA Device Query (Runtime API) version (CUDART static linking) > >> > > >> > There are 2 devices supporting CUDA > >> > > >> > Device 0: "Tesla C2050" > >> > CUDA Driver Version: 3.10 > >> > CUDA Runtime Version: 3.10 > >> > CUDA Capability Major revision number: 2 > >> > CUDA Capability Minor revision number: 0 > >> > Total amount of global memory: 2817720320 bytes > >> > Number of multiprocessors: 14 > >> > Number of cores: 448 > >> > Total amount of constant memory: 65536 bytes > >> > Total amount of shared memory per block: 49152 bytes > >> > Total number of registers available per block: 32768 > >> > Warp size: 32 > >> > Maximum number of threads per block: 1024 > >> > Maximum sizes of each dimension of a block: 1024 x 1024 x 64 > >> > Maximum sizes of each dimension of a grid: 65535 x 65535 x > 1 > >> > Maximum memory pitch: 2147483647 bytes > >> > Texture alignment: 512 bytes > >> > Clock rate: 1.15 GHz > >> > Concurrent copy and execution: Yes > >> > Run time limit on kernels: Yes > >> > Integrated: No > >> > Support host page-locked memory mapping: Yes > >> > Compute mode: Default (multiple > host > >> > threads can use this device simultaneously) > >> > Concurrent kernel execution: Yes > >> > Device has ECC support enabled: Yes > >> > > >> > Device 1: "Tesla C2050" > >> > CUDA Driver Version: 3.10 > >> > CUDA Runtime Version: 3.10 > >> > CUDA Capability Major revision number: 2 > >> > CUDA Capability Minor revision number: 0 > >> > Total amount of global memory: 2817982464 bytes > >> > Number of multiprocessors: 14 > >> > Number of cores: 448 > >> > Total amount of constant memory: 65536 bytes > >> > Total amount of shared memory per block: 49152 bytes > >> > Total number of registers available per block: 32768 > >> > Warp size: 32 > >> > Maximum number of threads per block: 1024 > >> > Maximum sizes of each dimension of a block: 1024 x 1024 x 64 > >> > Maximum sizes of each dimension of a grid: 65535 x 65535 x > 1 > >> > Maximum memory pitch: 2147483647 bytes > >> > Texture alignment: 512 bytes > >> > Clock rate: 1.15 GHz > >> > Concurrent copy and execution: Yes > >> > Run time limit on kernels: Yes > >> > Integrated: No > >> > Support host page-locked memory mapping: Yes > >> > Compute mode: > >> > threads can use this device simultaneously) > >> > Concurrent kernel execution: Yes > >> > Device has ECC support enabled: Yes > >> > > >> > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, > CUDA > >> > Runtime Version = 3.10, NumDevs = 2, Device = Tesla C2050, Device > = > >> > Tesla C2050 > >> > > >> > > >> > Host 2: > >> > > >> > CUDA Device Query (Runtime API) version (CUDART static linking) > >> > > >> > There is 1 device supporting CUDA > >> > > >> > Device 0: "Tesla C1060" > >> > CUDA Driv CUDA Runtime Version: 3.10 > >> > CUDA Capability Major revision number: 1 > >> > CUDA Capability Minor revision number: 3 > >> > Total amount of global memory: 4294770688 bytes > >> > Number of multiprocessors: 30 > >> > Number of cores: 240 > >> > Total amount of constant memory: 65536 bytes > >> > Total amount of shared memory per block: 16384 bytes > >> > Total number of registers available per block: 16384 > >> > Warp size: 32 > >> > Maximum number of threads per block: 512 > >> > Maximum sizes of each dimension of a block: 512 x 512 x 64 > >> > Maximum sizes of each dimension of a grid: 65535 x 65535 x > 1 > >> > Maximum memory pitch: 2147483647 bytes > >> > Texture alignment: 256 bytes > >> > Clock rate: 1.30 GHz > >> > Concurrent copy and execution: Yes > >> > Run time limit on kernels: No > >> > Integrated: No > >> > Support host page-locked memory mapping: Yes > >> > Compute mode: Default (multiple > host > >> > threads can use this device simultaneously) > >> > Concurrent kernel execution: No > >> > Device has ECC support enabled: No > >> > > >> > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, > CUDA > >> > Runtime Version = 3.10, NumDevs = 1, Device = Tesla C1060 > >> > > >> > Any comments on that? > >> > > >> > Regards and thanks in advance, > >> > Daniel > >> > > >> > > >> > -- > >> > > >> > Dr.-Ing. Daniel Güllmar > >> > Medical Physics Group / IDIR I > >> > Jena University Hospital > >> > MRT-Gebäude am Steiger > >> > Philosophenweg 3 > >> > 07743 Jena > >> > > >> > Tel: +49-3641-9-35373 > >> > Fax: +49-3641-9-35081 > >> > www: http://ww.mrt.uni-jena.de > >> > ____________________ > >> > Universitätsklinikum Jena > >> > Körperschaft des öffentlichen Rechts und Teilkörperschaft der > >> > Friedrich-Schiller-Universität > >> > Jena Bachstraße 18, 07743 Jena > >> > Verwaltungsratsvorsitzender: Prof. Dr. Thomas Deufel; > Medizinischer > >> > Vorstand: Prof. Dr. Klaus Höffken; > >> > Wissenschaftlicher Vorstand: Prof. Dr. Klaus Benndorf; > Kaufmännischer > >> > Vorstand und Sprecher des Klinikumsvorstandes Rudolf Kruse > >> > Bankverbindung: Sparkasse Jena; BLZ: 830 530 30; Kto.: 221; > >> > Gerichtsstand Jena > >> > Steuernummer: 161/144/02978; USt.-IdNr. : DE 150545777 > >> > _______________________________________________ > >> > Freesurfer mailing list > >> > Freesurfer(a)nmr.mgh.harvard.edu > >> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > > >> > > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer(a)nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> > > ____________________ > Universitätsklinikum Jena > Körperschaft des öffentlichen Rechts und Teilkörperschaft der > Friedrich-Schiller-Universität > Jena Bachstraße 18, 07743 Jena > Verwaltungsratsvorsitzender: Prof. Dr. Thomas Deufel; Medizinischer > Vorstand: Prof. Dr. Klaus Hö> Wissenschaftlicher Vorstand: Prof. Dr. Klaus Benndorf; Kaufmännischer > Vorstand und Sprecher des Klinikumsvorstandes Rudolf Kruse > Bankverbindung: Sparkasse Jena; BLZ: 830 530 30; Kto.: 221; > Gerichtsstand Jena > Steuernummer: 161/144/02978; USt.-IdNr. : DE 150545777 > > ____________________ Universitätsklinikum Jena Körperschaft des öffentlichen Rechts und Teilkörperschaft der Friedrich-Schiller-Universität Jena Bachstraße 18, 07743 Jena Verwaltungsratsvorsitzender: Prof. Dr. Thomas Deufel; Medizinischer Vorstand: Prof. Dr. Klaus Höffken; Wissenschaftlicher Vorstand: Prof. Dr. Klaus Benndorf; Kaufmännischer Vorstand und Sprecher des Klinikumsvorstandes Rudolf Kruse Bankverbindung: Sparkasse Jena; BLZ: 830 530 30; Kto.: 221; Gerichtsstand Jena Steuernummer: 161/144/02978; USt.-IdNr. : DE 150545777

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Job posting at synarc
by Gennan Chen 23 Aug '10

23 Aug '10

Hi! All, Synarc ( http://www.synarc.com/ ) is currently looking for a Neurology Product manager. Please check the attached word document. Gen ________________________________ This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message. If you are the intended recipient, please be advised that the content of this message is subject to access, review and disclosure by the sender's Email System Administrator

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IA64 release?
by Xinian Zuo 23 Aug '10

23 Aug '10

Hi, fsurfer team, I am just asking if there is any coming release of fs5.0 for ia64 cpu architecture? Thank you! Best, -- Xinian Zuo, Ph.D Associate Research Scientist Institute for Pediatric Neuroscience NYU Child Study Center 215 Lexington Ave., 14th Floor New York, NY 10016 Phone: (212) 263 2485

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func2roi and register.dat in version 5.0
by Shahin 23 Aug '10

23 Aug '10

Hi, In version 5.0 "register.dat" file is not generated. I was wondering if I should instead use "register.dof6.dat" in fun2roi or something else. Regards Shahin Nasr PhD in Cognitive Neuroscience Martinos Imaging Center, MGH Harvard Medical School

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CUDA Error - all CUDA-capable devices are busy or unavailable
by Daniel Guellmar 23 Aug '10

23 Aug '10

Hi folks, I'm trying to employ the new cuda binaries, which come with freesurfer version 5.0.0, however, if I'm trying to execute a cuda binary (e.g. mri_ca_register_cuda) I get the following output: Acquiring CUDA device Using default device CUDA Error in file 'devicemanagement.cu' on line 46 : all CUDA-capable devices are busy or unavailable. This error occurs on two different systems which are cuda capable. Both systems run with Ubuntu 9.10, both have the latest developer driver for linux (256.40) and the latest cuda toolkit (3.1) on it. The GPU Computing SDK code samples compile and work fine. The device query on both hosts work fine ... see following output Host 1: CUDA Device Query (Runtime API) version (CUDART static linking) There are 2 devices supporting CUDA Device 0: "Tesla C2050" CUDA Driver Version: 3.10 CUDA Runtime Version: 3.10 CUDA Capability Major revision number: 2 CUDA Capability Minor revision number: 0 Total amount of global memory: 2817720320 bytes Number of multiprocessors: 14 Number of cores: 448 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 32768 Warp size: 32 Maximum number of threads per block: 1024 Maximum sizes of each dimension of a block: 1024 x 1024 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Clock rate: 1.15 GHz Concurrent copy and execution: Yes Run time limit on kernels: Yes Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Concurrent kernel execution: Yes Device has ECC support enabled: Yes Device 1: "Tesla C2050" CUDA Driver Version: 3.10 CUDA Runtime Version: 3.10 CUDA Capability Major revision number: 2 CUDA Capability Minor revision number: 0 Total amount of global memory: 2817982464 bytes Number of multiprocessors: 14 Number of cores: 448 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 32768 Warp size: 32 Maximum number of threads per block: 1024 Maximum sizes of each dimension of a block: 1024 x 1024 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Clock rate: 1.15 GHz Concurrent copy and execution: Yes Run time limit on kernels: Yes Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Concurrent kernel execution: Yes Device has ECC support enabled: Yes deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, CUDA Runtime Version = 3.10, NumDevs = 2, Device = Tesla C2050, Device = Tesla C2050 Host 2: CUDA Device Query (Runtime API) version (CUDART static linking) There is 1 device supporting CUDA Device 0: "Tesla C1060" CUDA Driv CUDA Runtime Version: 3.10 CUDA Capability Major revision number: 1 CUDA Capability Minor revision number: 3 Total amount of global memory: 4294770688 bytes Number of multiprocessors: 30 Number of cores: 240 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 16384 Warp size: 32 Maximum number of threads per block: 512 Maximum sizes of each dimension of a block: 512 x 512 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 2147483647 bytes Texture alignment: 256 bytes Clock rate: 1.30 GHz Concurrent copy and execution: Yes Run time limit on kernels: No Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Concurrent kernel execution: No Device has ECC support enabled: No deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, CUDA Runtime Version = 3.10, NumDevs = 1, Device = Tesla C1060 Any comments on that? Regards and thanks in advance, Daniel -- Dr.-Ing. Daniel Güllmar Medical Physics Group / IDIR I Jena University Hospital MRT-Gebäude am Steiger Philosophenweg 3 07743 Jena Tel: +49-3641-9-35373 Fax: +49-3641-9-35081 www: http://ww.mrt.uni-jena.de ____________________ Universitätsklinikum Jena Körperschaft des öffentlichen Rechts und Teilkörperschaft der Friedrich-Schiller-Universität Jena Bachstraße 18, 07743 Jena Verwaltungsratsvorsitzender: Prof. Dr. Thomas Deufel; Medizinischer Vorstand: Prof. Dr. Klaus Höffken; Wissenschaftlicher Vorstand: Prof. Dr. Klaus Benndorf; Kaufmännischer Vorstand und Sprecher des Klinikumsvorstandes Rudolf Kruse Bankverbindung: Sparkasse Jena; BLZ: 830 530 30; Kto.: 221; Gerichtsstand Jena Steuernummer: 161/144/02978; USt.-IdNr. : DE 150545777

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program error: Exec format error. Wrong Architecture
by Prisciandaro, James J 23 Aug '10

23 Aug '10

Hello list, I recently installed freesurfer on a dell laptop running centos 5.5. After installing successfully, I ran the suggested test commands on the freesurfer wiki (e.g., tkmedit bert orig.mgz; tksurfer bert rh pial; qdec). All returned the same error: Exec format error. Wrong Architecture. I googled this, and I noticed someone else was having a similar problem on August 9th 2010 and never got a reply from the list. I also saw someone getting a similar error in a non-freesurfer context, and it had something to do with their c compiler. My centos install is for the most part stock; and I'm not what you'd call a linux expert. Does anyone know what this is about? Thanks, Jim James J. Prisciandaro, Ph.D. Postdoctoral Fellow Department of Psychiatry and Behavioral Sciences Clinical Neuroscience Division Medical University of South Carolina 67 President Street PO Box 250861 Charleston, SC 29425 Ph (843) 792-1433 Fx (843) 792-0528

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CUDA Error...
by Gonzalo Rojas Costa 23 Aug '10

23 Aug '10

Hi Nick: I uncompressed the file "fscudabins-linux-centos4.tgz", but I continue to get the error: "mri_em_register_cuda -skull nu.mgz /usr/local/freesurfer/average/RB_all_withskull_2008-03-26.gca transforms/talairach_with_skull.lta Acquiring CUDA device Using default device CUDA Error in file 'devicemanagement.cu' on line 46 : CUDA driver version is insufficient for CUDA runtime version. Linux gonzalorojas-laptop 2.6.28-11-generic #42-Ubuntu SMP Fri Apr 17 01:57:59 UTC 2009 i686 GNU/Linux recon-all -s ingrid_2 exited with ERRORS at Fri Aug 20 21:48:43 CLT 2010" Could you please tell me how can I correct the problem ?... Sincerely, Gonzalo Rojas Costa Nick Schmansky escribió: > i've just posted the file 'fscudabins-linux-centos4.tgz' here: > > ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/linux-centos4/ > > note that we have recently discovered a new problem with running mri_em_register_cuda on brains with skull: the results are off compared to the cpu version. so updates to that will be available next week sometime. > > n.

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help unpacking raw files from CD
by tsporko＠nmr.mgh.harvard.edu 23 Aug '10

23 Aug '10

Hi, I have a problem unpacking raw files for data processing from the scanner from a read only cd (compact disk). When I try to unpack from /media/disk no such directory exits, yet I can cd into this directory. If I make a work directory for raw_data and cp from this read only disk I get an error that the .dat files cannot be read. Below is the unpacking command. Are you familiar with this? unpacksdcmdir -src ./ -targ ./ -scanonly scan.dat I am using the above command in (nmr-std-env) *note: if I used the unpack command of the files cp from the disk, I get the log file and the command initates reading the dicom files although I have the .dat error. Ideally I'd rather unpack directly from the CD. Has anyone had this error or trouble unpacking files from CD? Thank you! Tara

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a question about VirtualBoxFS4.5
by Guang Zeng 23 Aug '10

23 Aug '10

Hi, there, I am using VirtualBox45 now. After I installed it, I tested it using tkmedit and tksurfer command, everything looks ok. However, when I try to run a recon-all command, it fails at the mris_volmask step, the error mask I got is: "mris_volmask.bin: error while loading shared libraries: libtiff.so.3: cannot open shared object file: No such file or directory" As someone suggested in the mailing list, I tried to make a symbolic link or a soft link named libtiff.so.3 which points to libtiff.so.4 using the following command: ln /usr/lib/libtiff.so.4 /usr/lib/libtiff.so.3 ln -sf /usr/lib/libtiff.so.4 /usr/lib/libtiff.so.3 But all of them gave me an error message: Permission denied. Does anyone can help? Thanks a lot! Guang

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Question about mri_ca_register Error when using recon-all
by huzhiwei＠sjtu.edu.cn 23 Aug '10

23 Aug '10

Hi all, I used recon-all of FreeSurfer to process data in NIfTi format. But I got an error message below about mri_ca_register. 0773: dt=0.014000, rms=0.427 (0.001%), neg=0, invalid=766 0774: dt=0.014000, rms=0.427 (0.001%), neg=0, invalid=766 0775: dt=0.014000, rms=0.427 (0.002%), neg=0, invalid=766 0776: dt=0.014000, rms=0.427 (0.001%), neg=0, invalid=766 0777: dt=0.014000, rms=0.427 (0.002%), neg=0, invalid=766 0778: dt=0.014000, rms=0.427 (0.001%), neg=0, invalid=766 Segmentation fault ERROR: mri_ca_register with non-zero status 139 but continuing despite the error #-------------------------------------- #@# CA Reg Inv Mon Aug 23 08:48:28 CST 2010 /usr/local/freesurfer/subjects/ad2/mri mri_ca_register -invert-and-save transforms/talairach.m3z Loading, Inverting, Saving, Exiting ... Reading transforms/talairach.m3z ERROR: cannot find or read transforms/talairach.m3z ERROR: mri_ca_register with non-zero status 0 Linux ubuntu 2.6.32-24-generic #38-Ubuntu SMP Mon Jul 5 09:22:14 UTC 2010 i686 GNU/Linux recon-all exited with ERRORS at Mon Aug 23 08:48:28 CST 2010 The command I used is "recon-all -s subID -all -i /xxx/xxx...". The complete log can be found in attached file. What the problem it may be ? Would you please help me ? Thanks very much.

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Freesurfer August 2010