Hey,
Under the hood, ViennaCL uses a databases which leads to device-specific
kernels for optimal performance :-) If the device is not in the database, a
fallback is used. Unfortunately, the requirement of the fallback in terms
of local work group size may be beyond your hardware capability... which is
the case here :) The stack confirms my suspicions.
Replacing the content of
viennacl/device_specific/builtin_database/devices/cpu/fallback.hpp
by
http://paste.ubuntu.com/9648922/
Should solve your errors, albeit leading to very poor performance. However,
the focus of ViennaCL is primarly GPUs, and the performance on GPUs will be
unaffected by this change. If this solves your problem, I shall push it to
the development branch :-)
Philippe
2014-12-30 22:32 GMT-05:00 FirstN LastN <n4i1ing1...@gmail.com>:
> Hi,
>
> Thanks for the information. However, I am not sure if it explains why
> ViennaCL 1.5.2 seems to function correctly. I must admit I have only just
> started using ViennaCL a couple of days and I did not yet have a chance to
> understand the implementation details.
>
> Also, I did not notice your original stack trace request and was away for
> a little while. Just in case, here is the stack trace:
>
> Process: vienna_test [50271]
> Path: /Users/USER/*/vienna_test
> Identifier: vienna_test
> Version: 0
> Code Type: X86-64 (Native)
> Parent Process: bash [34649]
> Responsible: Emacs-10.7 [34608]
> User ID: 501
>
> Date/Time: 2014-12-31 03:00:09.424 +0000
> OS Version: Mac OS X 10.9.4 (13E28)
> Report Version: 11
> Anonymous UUID: 4AD20246-50DE-DC83-C269-CC38DB2939ED
>
> Sleep/Wake UUID: 54AA478D-D1E6-4A3A-BF74-45DD0D4564B6
>
> Crashed Thread: 0 Dispatch queue: com.apple.main-thread
>
> Exception Type: EXC_CRASH (SIGABRT)
> Exception Codes: 0x0000000000000000, 0x0000000000000000
>
> Application Specific Information:
> abort() called
>
> Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
> 0 libsystem_kernel.dylib 0x00007fff98121866 __pthread_kill + 10
> 1 libsystem_pthread.dylib 0x00007fff975e935c pthread_kill + 92
> 2 libsystem_c.dylib 0x00007fff90d6cb1a abort + 125
> 3 libstdc++.6.dylib 0x000000010afe73ab
> __gnu_cxx::__verbose_terminate_handler() + 315
> 4 libstdc++.6.dylib 0x000000010afe5248
> __cxxabiv1::__terminate(void (*)()) + 8
> 5 libstdc++.6.dylib 0x000000010afe5293 std::terminate() + 19
> 6 libstdc++.6.dylib 0x000000010afe54c2 __cxa_throw + 114
> 7 vienna_test 0x000000010ac515f1
> viennacl::device_specific::template_base::generate(std::string const&,
> viennacl::device_specific::statements_container const&,
> viennacl::ocl::device const&) + 241 (template_base.hpp:499)
> 8 vienna_test 0x000000010ac51ddf
> viennacl::device_specific::execution_handler::add(std::string const&,
> viennacl::device_specific::template_base const&,
> viennacl::device_specific::statements_container const&) + 241
> (execution_handler.hpp:73)
> 9 vienna_test 0x000000010aca3eab void
> viennacl::linalg::opencl::kernels::matrix<float>::generate_ambm_impl2<float,
> float>(viennacl::device_specific::execution_handler&, std::string const&,
> viennacl::device_specific::matrix_axpy_parameters_type const&,
> viennacl::scheduler::operation_node_type, viennacl::matrix_base<float,
> unsigned long, long> const*, viennacl::matrix_base<float, unsigned long,
> long> const*, float const*, viennacl::matrix_base<float, unsigned long,
> long> const*, float const*) + 262 (matrix.hpp:483)
> 10 vienna_test 0x000000010aca0364 void
> viennacl::linalg::opencl::kernels::matrix<float>::generate_ambm_impl<float>(viennacl::device_specific::execution_handler&,
> std::string const&, viennacl::device_specific::matrix_axpy_parameters_type
> const&, viennacl::scheduler::operation_node_type,
> viennacl::matrix_base<float, unsigned long, long> const*,
> viennacl::matrix_base<float, unsigned long, long> const*, float const*,
> viennacl::scalar<float> const*, viennacl::matrix_base<float, unsigned long,
> long> const*, float const*, viennacl::scalar<float> const*) + 142
> (matrix.hpp:512)
> 11 vienna_test 0x000000010ac9c522
> viennacl::linalg::opencl::kernels::matrix<float>::execution_handler(bool,
> viennacl::ocl::context&) + 1378 (matrix.hpp:571)
> 12 vienna_test 0x000000010ac94167 void
> viennacl::linalg::opencl::matrix_assign<float>(viennacl::matrix_base<float,
> unsigned long, long>&, float, bool) + 269 (matrix_operations.hpp:163)
> 13 vienna_test 0x000000010ac880d1 void
> viennacl::linalg::matrix_assign<float>(viennacl::matrix_base<float,
> unsigned long, long>&, float, bool) + 119 (matrix_operations.hpp:191)
> 14 vienna_test 0x000000010ac802dc
> viennacl::matrix_base<float, unsigned long, long>::clear() + 32
> (matrix.hpp:597)
> 15 vienna_test 0x000000010ac72fdc
> viennacl::matrix_base<float, unsigned long, long>::matrix_base(unsigned
> long, unsigned long, bool, viennacl::context) + 268 (matrix.hpp:136)
> 16 vienna_test 0x000000010ac6aa22
> viennacl::matrix<float, viennacl::column_major, 1u>::matrix(unsigned long,
> unsigned long, viennacl::context) + 74 (matrix.hpp:675)
> 17 vienna_test 0x000000010ac3f294 main + 213
> (vienna_test.cxx:101)
> 18 libdyld.dylib 0x00007fff8dead5fd start + 1
>
> Thread 1:: Dispatch queue: com.apple.libdispatch-manager
> 0 libsystem_kernel.dylib 0x00007fff98122662 kevent64 + 10
> 1 libdispatch.dylib 0x00007fff95471421 _dispatch_mgr_invoke
> + 239
> 2 libdispatch.dylib 0x00007fff95471136 _dispatch_mgr_thread
> + 52
>
> Thread 0 crashed with X86 Thread State (64-bit):
> rax: 0x0000000000000000 rbx: 0x00007fff7df98310 rcx:
> 0x00007fff54fc14f8 rdx: 0x0000000000000000
> rdi: 0x0000000000000507 rsi: 0x0000000000000006 rbp:
> 0x00007fff54fc1520 rsp: 0x00007fff54fc14f8
> r8: 0x0000000000000040 r9: 0x00007fff54fc1500 r10:
> 0x0000000008000000 r11: 0x0000000000000206
> r12: 0x00007fecd2423650 r13: 0x00007fecd2421558 r14:
> 0x0000000000000006 r15: 0x0000000000000000
> rip: 0x00007fff98121866 rfl: 0x0000000000000206 cr2: 0x000000010b05d010
>
> Logical CPU: 0
> Error Code: 0x02000148
> Trap Number: 133
>
>
> Binary Images:
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> External Modification Summary:
> Calls made by other processes targeting this process:
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> thread_create: 0
> thread_set_state: 0
> Calls made by this process:
> task_for_pid: 0
> thread_create: 0
> thread_set_state: 0
> Calls made by all processes on this machine:
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> thread_create: 1
> thread_set_state: 6
>
> VM Region Summary:
> ReadOnly portion of Libraries: Total=131.0M resident=41.6M(32%)
> swapped_out_or_unallocated=89.4M(68%)
> Writable regions: Total=35.1M written=312K(1%) resident=416K(1%)
> swapped_out=0K(0%) unallocated=34.7M(99%)
>
> REGION TYPE VIRTUAL
> =========== =======
> Dispatch continuations 8192K
> Kernel Alloc Once 4K
> MALLOC 18.3M
> MALLOC (admin) 32K
> OpenCL (reserved) 64K reserved VM address space
> (unallocated)
> STACK GUARD 55.7M
> Stack 8588K
> VM_ALLOCATE 8K
> VM_ALLOCATE (reserved) 12K reserved VM address space
> (unallocated)
> __DATA 5220K
> __LINKEDIT 69.7M
> __TEXT 61.3M
> __UNICODE 544K
> shared memory 4K
> =========== =======
> TOTAL 227.2M
> TOTAL, minus reserved VM space 227.1M
>
>
>
>
>
> On Wed, Dec 31, 2014 at 1:59 AM, Philippe Tillet <phil.til...@gmail.com>
> wrote:
>
>> Hey,
>>
>> I think I know where the problem comes from. The Matrix AXPY kernels uses
>> a local size tuple of (8, 8) for CPUs.
>> Apparently, your CPU doesn't support local_size_1 greater than 1. This
>> means that all of our matrix kernels are unable to function properly. On
>> the other hand, forcing local_size_1 = 1 for all the CPUs will have a
>> disastrous effect on performance. Still, I think that having poor
>> performance is better than broken correctness :-) I will patch this in the
>> near future.
>>
>> 2014-12-30 11:38 GMT-05:00 Philippe Tillet <phil.til...@gmail.com>:
>>
>> This may be due to the fact that the CPU database was only tested on core
>>> i7 ; perhaps core i5 are somewhat less compliant. Would it be possible to
>>> get a traceback?
>>>
>>> Philippe
>>>
>>> 2014-12-30 10:32 GMT-05:00 FirstN LastN <n4i1ing1...@gmail.com>:
>>>
>>> Hi,
>>>>
>>>> Thank you for your replies. Please find the code below. As I mentioned
>>>> in my previous post, it *runs fine on GPU*. Also, I used quite a few
>>>> additional flags and linked against quite a few external libraries for the
>>>> original run upon which I based my first post. However, I have now removed
>>>> all extra flags/links, but the result is still the same - I get the
>>>> run-time error that I quoted in my previous post. Some additional
>>>> information:
>>>> gcc 4.8.3 was used for compilation
>>>> Device name: Intel(R) Core(TM) i5-4260U CPU @ 1.40GHz
>>>> OpenCL version 1.2.
>>>>
>>>> #define VIENNACL_WITH_OPENCL
>>>> #define VIENNACL_WITH_UBLAS
>>>> #include "viennacl/scalar.hpp"
>>>> #include "viennacl/vector.hpp"
>>>> #include "viennacl/matrix.hpp"
>>>> #include <limits>
>>>> #include <memory>
>>>> #include <math.h>
>>>> #include <iostream>
>>>> #include <string>
>>>>
>>>> int main()
>>>> {
>>>>
>>>> // Sets the device (CPU).
>>>> viennacl::ocl::set_context_device_type(0, viennacl::ocl::cpu_tag());
>>>>
>>>> // Show the current device.
>>>> viennacl::ocl::device CurrentDevice(
>>>> viennacl::ocl::current_context().current_device()
>>>> );
>>>> std::cout << "Current device is : "
>>>> << viennacl::ocl::current_context().current_device().name()
>>>> << std::endl;
>>>>
>>>> int m = 10;
>>>> viennacl::matrix<float, viennacl::column_major> A(m, m);
>>>>
>>>> return 0;
>>>>
>>>> }
>>>>
>>>>
>>>>
>>>> On Tue, Dec 30, 2014 at 2:19 PM, Philippe Tillet <phil.til...@gmail.com
>>>> > wrote:
>>>>
>>>>> I'm realizing that this may be due to a bad handling of the CPU. Have
>>>>> you tried with another device? Could you provide a traceback?
>>>>>
>>>>> Philippe
>>>>>
>>>>> 2014-12-30 9:16 GMT-05:00 Philippe Tillet <phil.til...@gmail.com>:
>>>>>
>>>>> Hello,
>>>>>>
>>>>>> Thanks for your report. I cannot reproduce the bug. i.e.
>>>>>> ============
>>>>>> #include "viennacl/matrix.hpp"
>>>>>>
>>>>>> int main()
>>>>>> {
>>>>>> unsigned int N = 100;
>>>>>> viennacl::matrix<float, viennacl::column_major> A(N, N);
>>>>>> std::cout << A << std::endl;
>>>>>> }
>>>>>> ============
>>>>>> g++ test.cpp -I. -DVIENNACL_WITH_OPENCL -DVIENNACL_WITH_UBLAS -lOpenCL
>>>>>> ============
>>>>>> Works fine with vanilla ViennaCL 1.6.2.
>>>>>> Could you give more information, or try to create a minimum cpp file
>>>>>> which could reproduce the bug?
>>>>>>
>>>>>> Thanks!
>>>>>> Philippe
>>>>>>
>>>>>> 2014-12-30 8:30 GMT-05:00 FirstN LastN <n4i1ing1...@gmail.com>:
>>>>>>
>>>>>>> I have recently upgraded to 1.6.2 from 1.5.2 and started getting an
>>>>>>> error (see below) in the following situation:
>>>>>>> 1). VIENNACL_WITH_OPENCL, VIENNACL_WITH_UBLAS
>>>>>>> 2). device: Intel i5 CPU
>>>>>>> 3). The error happens upon trying to allocate a matrix in the
>>>>>>> following way: viennacl::matrix<float, viennacl::column_major> A(m, m);
>>>>>>> (it
>>>>>>> gives an error with any template parameters).
>>>>>>>
>>>>>>> Notes:
>>>>>>> 1). This works fine on 1.5.2 (i.e. the exact same code compiled with
>>>>>>> the exact same c++ compiler/flags and OpenCL version).
>>>>>>> 2). Everything else seems to work fine on 1.6.2. At least I can
>>>>>>> allocate vectors/scalars and perform operations on them. Moreover, I can
>>>>>>> construct matrices using the statement above if I switch to GPU and do
>>>>>>> not
>>>>>>> get any errors.
>>>>>>>
>>>>>>> The error message:
>>>>>>> terminate called after throwing an instance of
>>>>>>> 'viennacl::device_specific::generator_not_supported_exception'
>>>>>>> what(): ViennaCL: Internal error: The generator cannot handle the
>>>>>>> statement provided: The supplied parameters for this template are
>>>>>>> invalid :
>>>>>>> err -4
>>>>>>>
>>>>>>> Regards,
>>>>>>> JJ
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Dive into the World of Parallel Programming! The Go Parallel Website,
>>>>>>> sponsored by Intel and developed in partnership with Slashdot Media,
>>>>>>> is your
>>>>>>> hub for all things parallel software development, from weekly thought
>>>>>>> leadership blogs to news, videos, case studies, tutorials and more.
>>>>>>> Take a
>>>>>>> look and join the conversation now.
>>>>>>> http://goparallel.sourceforge.net
>>>>>>> _______________________________________________
>>>>>>> ViennaCL-support mailing list
>>>>>>> ViennaCL-support@lists.sourceforge.net
>>>>>>> https://lists.sourceforge.net/lists/listinfo/viennacl-support
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>
------------------------------------------------------------------------------
Dive into the World of Parallel Programming! The Go Parallel Website,
sponsored by Intel and developed in partnership with Slashdot Media, is your
hub for all things parallel software development, from weekly thought
leadership blogs to news, videos, case studies, tutorials and more. Take a
look and join the conversation now. http://goparallel.sourceforge.net
_______________________________________________
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ViennaCL-support@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/viennacl-support
