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Search found 127 results on 6 pages for 'opencl'.

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  • Does OpenCL allow concurrent writes to same memory address?

    - by Wonko
    Is two (or more) different threads allowed to write to the same memory location in global space in OpenCL? The write is always changing a uchar from 0 to 1 so the outcome should be predictable, but I'm getting erratic results in my program, so I'm wondering if the reason can be that some of the writes fail. Could it help to declare the buffer write-only and copy it to a read-only buffer afterwards?

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  • stress testing opencl/Ati GPU on 12.04

    - by lurscher
    What does people normally use to stress test their GPU on ubuntu 12.04? I tried installing Phoronix Benchmark suite ubuntu .deb but it tries to install freeglu3-dev and at the same time complains about $ phoronix-test-suite benchmark pts/opencl The following dependencies are needed and will be installed: freeglut3-dev This process may take several minutes. Reading package lists... Building dependency tree... Reading state information... freeglut3-dev is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 90 not upgraded. There are dependencies still missing from the system: - OpenGL Utility Kit / GLUT 1: Ignore missing dependencies and proceed with installation. 2: Skip installing the tests with missing dependencies. 3: Re-attempt to install the missing dependencies. 4: Quit the current Phoronix Test Suite process. Missing dependencies action: 4 so even if it is installing freeglu3, it still complains about missing GLUT. You can't win against GLUT it seems So, what does people use for this? i mean, really, because i have tried googling for an hour and it is not paying up Thanks!

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  • Untrusted GPGPU code (OpenCL etc) - is it safe? What risks?

    - by Grzegorz Wierzowiecki
    There are many approaches when it goes about running untrusted code on typical CPU : sandboxes, fake-roots, virtualization... What about untrusted code for GPGPU (OpenCL,cuda or already compiled one) ? Assuming that memory on graphics card is cleared before running such third-party untrusted code, are there any security risks? What kind of risks? Any way to prevent them ? (Possible sandboxing on gpgpu or other technique?) P.S. I am more interested in gpu binary code level security rather than hight-level gpgpu programming language security (But those solutions are welcome as well). What I mean is that references to gpu opcodes (a.k.a machine code) are welcome.

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  • Disable Crossfire on an ATI HD 5970

    - by cdecker
    I'm trying to create a computation cluster using ATI GPUs. The problem is that I have to disable Crossfire in order to get maximum performance out of the ATI Radeon HD 5970 I bought to get started, but no matter what I do I can't disable it. The problem is that I'd like to run an OpenCL application on the two cores in parallel, but right now they just interfere with each other. Any idea on how to do so under Ubuntu Linux, with ATI Catalyst 10.10?

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  • What's the most trivial function that would benfit from being computed on a GPU?

    - by hanDerPeder
    Hi. I'm just starting out learning OpenCL. I'm trying to get a feel for what performance gains to expect when moving functions/algorithms to the GPU. The most basic kernel given in most tutorials is a kernel that takes two arrays of numbers and sums the value at the corresponding indexes and adds them to a third array, like so: __kernel void add(__global float *a, __global float *b, __global float *answer) { int gid = get_global_id(0); answer[gid] = a[gid] + b[gid]; } __kernel void sub(__global float* n, __global float* answer) { int gid = get_global_id(0); answer[gid] = n[gid] - 2; } __kernel void ranksort(__global const float *a, __global float *answer) { int gid = get_global_id(0); int gSize = get_global_size(0); int x = 0; for(int i = 0; i < gSize; i++){ if(a[gid] > a[i]) x++; } answer[x] = a[gid]; } I am assuming that you could never justify computing this on the GPU, the memory transfer would out weight the time it would take computing this on the CPU by magnitudes (I might be wrong about this, hence this question). What I am wondering is what would be the most trivial example where you would expect significant speedup when using a OpenCL kernel instead of the CPU?

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  • GPU Computing - # of GPUs supported

    - by TehTypoKing
    I currently have a desktop with 6 GPUs ( 3x HD 5970s ) in non-crossfire mode. Unfortunately, it seems that Windows 7 64bit only supports up to 4 GPUs. I have not been able to find a reliable source to deny or confirm this. If windows 7 has this limitation, is there a Linux flavor that supports more than 4 GPUs? In-case you are wondering, this is not for gaming but high-speed single precision computing. With this current setup ( if I can find 6gpu support ) I am looking to reach 13.8 Teraflops. Also, my motherboard does support 3 16x pci-xpress gen2 slots... and I have a 1500w powersupply plugged into a 20amp outlet. Windows is able to detect all 6 cores.. although, 2 of which displays the warning "Drivers failed to load". To recap: - Can windows support 6 GPUs? - If not, does Linux? Thank you.

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  • Time gaps between host clEnqueue_xxx calls

    - by dialer
    Consider these OpenCL calls (3 memcpy DtoH, 4313 cl_float elements each): clEnqueueReadBuffer(CommandQueue, SpectrumAbsMem, CL_FALSE, 0, SpectrumMemSize, SpectrumAbs, 0, NULL, NULL); clEnqueueReadBuffer(CommandQueue, SpectrumReMem, CL_FALSE, 0, SpectrumMemSize, SpectrumRe, 0, NULL, NULL); clEnqueueReadBuffer(CommandQueue, SpectrumImMem, CL_FALSE, 0, SpectrumMemSize, SpectrumIm, 0, NULL, NULL); When I analyze these with the NVIDIA visual profiler, I see that the actual memcpy operation only takes 8 us, but there is a significant gap of around 130 us after each memcpy. I'm already using the supposedly asynchronous method (the CL_FALSE in the argument list). When I use only one operation, but with three times the size, the operation is way faster. Why is the time gap between the actual memcpy operations so huge, whereas the gap between the kernel execution (exactly before these three operations) and the first memcpy is only 7us? Can I get rid of it, or do I need to accumulate more data before starting a memcpy? If so, is there a convenient way how I could combine mutliple arrays into a single contiguous block of memory, but still have a cl_mem object as a separate device memory pointer to each section?

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  • segmented reduction with scattered segments

    - by Christian Rau
    I got to solve a pretty standard problem on the GPU, but I'm quite new to practical GPGPU, so I'm looking for ideas to approach this problem. I have many points in 3-space which are assigned to a very small number of groups (each point belongs to one group), specifically 15 in this case (doesn't ever change). Now I want to compute the mean and covariance matrix of all the groups. So on the CPU it's roughly the same as: for each point p { mean[p.group] += p.pos; covariance[p.group] += p.pos * p.pos; ++count[p.group]; } for each group g { mean[g] /= count[g]; covariance[g] = covariance[g]/count[g] - mean[g]*mean[g]; } Since the number of groups is extremely small, the last step can be done on the CPU (I need those values on the CPU, anyway). The first step is actually just a segmented reduction, but with the segments scattered around. So the first idea I came up with, was to first sort the points by their groups. I thought about a simple bucket sort using atomic_inc to compute bucket sizes and per-point relocation indices (got a better idea for sorting?, atomics may not be the best idea). After that they're sorted by groups and I could possibly come up with an adaption of the segmented scan algorithms presented here. But in this special case, I got a very large amount of data per point (9-10 floats, maybe even doubles if the need arises), so the standard algorithms using a shared memory element per thread and a thread per point might make problems regarding per-multiprocessor resources as shared memory or registers (Ok, much more on compute capability 1.x than 2.x, but still). Due to the very small and constant number of groups I thought there might be better approaches. Maybe there are already existing ideas suited for these specific properties of such a standard problem. Or maybe my general approach isn't that bad and you got ideas for improving the individual steps, like a good sorting algorithm suited for a very small number of keys or some segmented reduction algorithm minimizing shared memory/register usage. I'm looking for general approaches and don't want to use external libraries. FWIW I'm using OpenCL, but it shouldn't really matter as the general concepts of GPU computing don't really differ over the major frameworks.

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  • Open Cl.I just need to convert the code to using two work items in the for loop .Currentlly it uses one

    - by user1660282
    spmv_csr_scalar_kernel(const int num_rows , const int * ptr , const int * indices , const float * data , const float * x, float * y) { int row = get_global_id(0); if(row < num_rows) { float dot = 0; int row_start = ptr[row]; int row_end = ptr[row+1]; for (int jj = row_start; jj < row_end; jj++) { dot += data[jj] * x[indices[jj]]; } y[row] += dot; } } Above is the Open Cl code for multiplying a sparse matrix in CSR format with a Column vector.It uses one global work item per for loop.Can anybody help me in using two work items in each for loop.I am new to open cl and get a lot of issues if I modify even the smallest thing.Please help me.This a part of my project.I made it this parallel but I wanna make it more parallel.Please help me if you can.plzzzz A single work item executes the for loop from row_start to row_end.I want that this row or for loop is further divided into two parts each executed by a single work item.How do I go on accomplishing that? This is what I could come up with but its returning the wrong output.plzz help __kernel void mykernel(__global int* colvector,__global int* val,__global int* result,__global int* index,__global int* rowptr,__global int* sync) { __global int vals[8]={0,0,0,0,0,0,0,0}; for(int i=0;i<4;i++) { result[i]=0; } barrier(CLK_GLOBAL_MEM_FENCE); int thread_id=get_global_id(0); int warp_id=thread_id/2; int lane=(thread_id)&1; int row=warp_id; if(row<4) { int row_start = rowptr[row]; int row_end = rowptr[row+1]; vals[thread_id]=0; for (int i = row_start+lane; i<row_end; i+=2) { vals[thread_id]+=val[i]*colvector[index[i]]; } vals[thread_id]+=vals[thread_id+1]; if(lane==0){ result[row] += vals[thread_id]; } } }

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  • GPU Computing - # of GPUs supported

    - by TehTypoKing
    I currently have a desktop with 6 GPUs ( 3x HD 5970s ) in non-crossfire mode. Unfortunately, it seems that Windows 7 64bit only supports up to 4 GPUs. I have not been able to find a reliable source to deny or confirm this. If windows 7 has this limitation, is there a Linux flavor that supports more than 4 GPUs? In-case you are wondering, this is not for gaming but high-speed single precision computing. With this current setup ( if I can find 6gpu support ) I am looking to reach 13.8 Teraflops. Also, my motherboard does support 3 16x pci-xpress gen2 slots... and I have a 1500w powersupply plugged into a 20amp outlet. Windows is able to detect all 6 cores.. although, 2 of which displays the warning "Drivers failed to load". To recap: - Can windows support 6 GPUs? - If not, does Linux? Thank you.

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  • Dual Screen will only mirror after 12.04 upgrade

    - by Ne0
    I have been using Ubuntu with a dual screen for years now, after upgrading to 12.04 LTS i cannot get my dual screen working properly Graphics: 01:00.0 VGA compatible controller: Advanced Micro Devices [AMD] nee ATI RV350 AR [Radeon 9600] 01:00.1 Display controller: Advanced Micro Devices [AMD] nee ATI RV350 AR [Radeon 9600] (Secondary) I noticed i was using open source drivers and attempted to install official binaries using the methods in this thread. Output: liam@liam-desktop:~$ sudo apt-get install fglrx fglrx-amdcccle Reading package lists... Done Building dependency tree Reading state information... Done The following packages will be upgraded: fglrx fglrx-amdcccle 2 upgraded, 0 newly installed, 0 to remove and 12 not upgraded. Need to get 45.1 MB of archives. After this operation, 739 kB of additional disk space will be used. Get:1 http://gb.archive.ubuntu.com/ubuntu/ precise/restricted fglrx i386 2:8.960-0ubuntu1 [39.2 MB] Get:2 http://gb.archive.ubuntu.com/ubuntu/ precise/restricted fglrx-amdcccle i386 2:8.960-0ubuntu1 [5,883 kB] Fetched 45.1 MB in 1min 33s (484 kB/s) (Reading database ... 328081 files and directories currently installed.) Preparing to replace fglrx 2:8.951-0ubuntu1 (using .../fglrx_2%3a8.960-0ubuntu1_i386.deb) ... Removing all DKMS Modules Error! There are no instances of module: fglrx 8.951 located in the DKMS tree. Done. Unpacking replacement fglrx ... Preparing to replace fglrx-amdcccle 2:8.951-0ubuntu1 (using .../fglrx-amdcccle_2%3a8.960-0ubuntu1_i386.deb) ... Unpacking replacement fglrx-amdcccle ... Processing triggers for ureadahead ... ureadahead will be reprofiled on next reboot Setting up fglrx (2:8.960-0ubuntu1) ... update-alternatives: warning: forcing reinstallation of alternative /usr/lib/fglrx/ld.so.conf because link group i386-linux-gnu_gl_conf is broken. update-alternatives: warning: skip creation of /etc/OpenCL/vendors/amdocl64.icd because associated file /usr/lib/fglrx/etc/OpenCL/vendors/amdocl64.icd (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalcl.so because associated file /usr/lib32/fglrx/libaticalcl.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalrt.so because associated file /usr/lib32/fglrx/libaticalrt.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: forcing reinstallation of alternative /usr/lib/fglrx/ld.so.conf because link group i386-linux-gnu_gl_conf is broken. update-alternatives: warning: skip creation of /etc/OpenCL/vendors/amdocl64.icd because associated file /usr/lib/fglrx/etc/OpenCL/vendors/amdocl64.icd (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalcl.so because associated file /usr/lib32/fglrx/libaticalcl.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalrt.so because associated file /usr/lib32/fglrx/libaticalrt.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-initramfs: deferring update (trigger activated) update-initramfs: Generating /boot/initrd.img-3.2.0-25-generic-pae Loading new fglrx-8.960 DKMS files... Building only for 3.2.0-25-generic-pae Building for architecture i686 Building initial module for 3.2.0-25-generic-pae Done. fglrx: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/3.2.0-25-generic-pae/updates/dkms/ depmod....... DKMS: install completed. update-initramfs: deferring update (trigger activated) Processing triggers for bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Setting up fglrx-amdcccle (2:8.960-0ubuntu1) ... Processing triggers for initramfs-tools ... update-initramfs: Generating /boot/initrd.img-3.2.0-25-generic-pae Processing triggers for libc-bin ... ldconfig deferred processing now taking place liam@liam-desktop:~$ sudo aticonfig --initial -f aticonfig: No supported adapters detected When i attempt to get my settings back to what they were before upgrading i get this message requested position/size for CRTC 81 is outside the allowed limit: position=(1440, 0), size=(1440, 900), maximum=(1680, 1680) and GDBus.Error:org.gtk.GDBus.UnmappedGError.Quark._gnome_2drr_2derror_2dquark.Code3: requested position/size for CRTC 81 is outside the allowed limit: position=(1440, 0), size=(1440, 900), maximum=(1680, 1680) Any idea's on what i need to do to fix this issue?

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  • Installing Intel Iris Drivers on Parallels 9

    - by Eren Yildirim
    I'm running windows 8.1 on Parallels 9 on Mac OS X 10.9.3 Mavericks. Before that I used to have VMWare and I could manage to install Intel Iris drivers for OpenCL SDK. But Parallels installs tools for virtualization I guess and in device manager I see Parallels Display Adapter (VDDM) instead of Intel Iris Graphics Processor. How can I see the device and be able to install latest Intel drivers so that I can Install Intel OpenCL SDK. Thank you.

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  • Next programming paradigm for CBE/GPU in the next years

    - by Werner
    Hi, in the last five years, there has been a rise in the use of GPU and CBE for parallelization of applications. Around 2005-2007 verything seemed to be programmed by hand, C, etc. Afterwards new unifying alternatives emerged like CUDA for GPU and lastly OpenCL. What do you think will be the programming paradigm for GPU/CBE in the forthcoming years? My vote goes for OpenCL Thanks

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  • Should I use OpenGL or DX11 for my game?

    - by Sundareswaran Senthilvel
    I'm planning to write a game from scratch (a BIG Game, for commercial purpose). I'm aware that there are certain compute libraries like OpenCL, AMD APP SDK, C++ AMP as well as DirectCompute - both from MS (NOT interested in CUDA) are available in the market. I'm planning to write the game from the scratch, which includes the following engines... Physics Engine AI Engine Main Game Engine (... and if anything is missed). I'm aware that, there are some free physics engine libraries in the market. Not sure about free AI engine libraries. I'm bit confused in choosing between the OpenCL, AMD APP SDK, and C++ AMP libraries (as already mentioned i'm NOT interested in CUDA). I want my game to be published in Windows/Android/Mac OSX. It means it should be a cross-platform game. I will be having "one source code" that i'll compile for various platforms like Windows/Android/Mac OSX, and any others if i missed. Note: Since I'm NOT a Java guy, kindly do NOT suggest me the Java Language. For Graphics language should i use OpenGL or DirectX 11? I have heard that OpenGL runs on a single core, and not sure of DirectX 11. Between OpenGL and DirectX which one should i follow? or else, are there any other graphics language that i need to start with? I want to make use of the parallelism in GPU as well as CPU.

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  • Game Development

    - by Sundareswaran Senthilvel
    I'm planning to write a game from scratch (a BIG Game, for commercial purpose). I'm aware that there are certain compute libraries like OpenCL, AMD APP SDK, C++ AMP as well as DirectCompute - both from MS (NOT interested in CUDA) are available in the market. I'm planning to write the game from the scratch, which includes the following engines... 1.Physics Engine 2.AI Engine 3.Main Game Engine (... and if anything is missed). I'm aware that, there are some free physics engine libraries in the market. Not sure about free AI engine libraries. I'm bit confused in choosing between the OpenCL, AMD APP SDK, and C++ AMP libraries (as already mentioned i'm NOT interested in CUDA). I want my game to be published in Windows/Android/Mac OSX. It means it should be a cross-platform game. I will be having "one source code" that i'll compile for various platforms like Windows/Android/Mac OSX, and any others if i missed. Note: Since I'm NOT a Java guy, kindly do NOT suggest me the Java Language. For Graphics language should i use OpenGL or DirectX 11? I have heard that OpenGL runs on a single core, and not sure of DirectX 11. Between OpenGL and DirectX which one should i follow? or else, are there any other graphics language that i need to start with? I want to make use of the parallelism in GPU as well as CPU.

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  • Good .NET library for fast streaming / batching trigonometry (Atan)?

    - by Sean
    I need to call Atan on millions of values per second. Is there a good library to perform this operation in batch very fast. For example, a library that streams the low level logic using something like SSE? I know that there is support for this in OpenCL, but I would prefer to do this operation on the CPU. The target machine might not support OpenCL. I also looked into using OpenCV, but it's accuracy for Atan angles is only ~0.3 degrees. I need accurate results.

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  • Can't install graphic drivers in 12.04

    - by yinon
    The driver is ATI/AMD proprietary FGLRX graphics driver. After clicking Activate, it asks for my password and starts downloading. Then it shows an error message: 2012-10-03 16:16:04,227 DEBUG: updating <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> 2012-10-03 16:16:06,172 DEBUG: reading modalias file /lib/modules/3.2.0-29-generic-pae/modules.alias 2012-10-03 16:16:06,383 DEBUG: reading modalias file /usr/share/jockey/modaliases/b43 2012-10-03 16:16:06,386 DEBUG: reading modalias file /usr/share/jockey/modaliases/disable-upstream-nvidia 2012-10-03 16:16:06,456 DEBUG: loading custom handler /usr/share/jockey/handlers/pvr-omap4.py 2012-10-03 16:16:06,506 WARNING: modinfo for module omapdrm_pvr failed: ERROR: modinfo: could not find module omapdrm_pvr 2012-10-03 16:16:06,509 DEBUG: Instantiated Handler subclass __builtin__.PVROmap4Driver from name PVROmap4Driver 2012-10-03 16:16:06,682 DEBUG: PowerVR SGX proprietary graphics driver for OMAP 4 not available 2012-10-03 16:16:06,682 DEBUG: loading custom handler /usr/share/jockey/handlers/cdv.py 2012-10-03 16:16:06,727 WARNING: modinfo for module cedarview_gfx failed: ERROR: modinfo: could not find module cedarview_gfx 2012-10-03 16:16:06,728 DEBUG: Instantiated Handler subclass __builtin__.CdvDriver from name CdvDriver 2012-10-03 16:16:06,728 DEBUG: cdv.available: falling back to default 2012-10-03 16:16:06,772 DEBUG: Intel Cedarview graphics driver availability undetermined, adding to pool 2012-10-03 16:16:06,772 DEBUG: loading custom handler /usr/share/jockey/handlers/vmware-client.py 2012-10-03 16:16:06,781 WARNING: modinfo for module vmxnet failed: ERROR: modinfo: could not find module vmxnet 2012-10-03 16:16:06,781 DEBUG: Instantiated Handler subclass __builtin__.VmwareClientHandler from name VmwareClientHandler 2012-10-03 16:16:06,795 DEBUG: VMWare Client Tools availability undetermined, adding to pool 2012-10-03 16:16:06,796 DEBUG: loading custom handler /usr/share/jockey/handlers/fglrx.py 2012-10-03 16:16:06,801 WARNING: modinfo for module fglrx_updates failed: ERROR: modinfo: could not find module fglrx_updates 2012-10-03 16:16:06,805 DEBUG: Instantiated Handler subclass __builtin__.FglrxDriverUpdate from name FglrxDriverUpdate 2012-10-03 16:16:06,805 DEBUG: fglrx.available: falling back to default 2012-10-03 16:16:06,833 DEBUG: ATI/AMD proprietary FGLRX graphics driver (post-release updates) availability undetermined, adding to pool 2012-10-03 16:16:06,836 WARNING: modinfo for module fglrx failed: ERROR: modinfo: could not find module fglrx 2012-10-03 16:16:06,840 DEBUG: Instantiated Handler subclass __builtin__.FglrxDriver from name FglrxDriver 2012-10-03 16:16:06,840 DEBUG: fglrx.available: falling back to default 2012-10-03 16:16:06,873 DEBUG: ATI/AMD proprietary FGLRX graphics driver availability undetermined, adding to pool 2012-10-03 16:16:06,873 DEBUG: loading custom handler /usr/share/jockey/handlers/dvb_usb_firmware.py 2012-10-03 16:16:06,925 DEBUG: Instantiated Handler subclass __builtin__.DvbUsbFirmwareHandler from name DvbUsbFirmwareHandler 2012-10-03 16:16:06,926 DEBUG: Firmware for DVB cards not available 2012-10-03 16:16:06,926 DEBUG: loading custom handler /usr/share/jockey/handlers/nvidia.py 2012-10-03 16:16:06,961 WARNING: modinfo for module nvidia_96 failed: ERROR: modinfo: could not find module nvidia_96 2012-10-03 16:16:06,967 DEBUG: Instantiated Handler subclass __builtin__.NvidiaDriver96 from name NvidiaDriver96 2012-10-03 16:16:06,968 DEBUG: nvidia.available: falling back to default 2012-10-03 16:16:06,980 DEBUG: XorgDriverHandler(nvidia_96, nvidia-96, None): Disabling as package video ABI xorg-video-abi-10 does not match X.org video ABI xorg-video-abi-11 2012-10-03 16:16:06,980 DEBUG: NVIDIA accelerated graphics driver not available 2012-10-03 16:16:06,983 WARNING: modinfo for module nvidia_current failed: ERROR: modinfo: could not find module nvidia_current 2012-10-03 16:16:06,987 DEBUG: Instantiated Handler subclass __builtin__.NvidiaDriverCurrent from name NvidiaDriverCurrent 2012-10-03 16:16:06,987 DEBUG: nvidia.available: falling back to default 2012-10-03 16:16:07,015 DEBUG: NVIDIA accelerated graphics driver availability undetermined, adding to pool 2012-10-03 16:16:07,018 WARNING: modinfo for module nvidia_current_updates failed: ERROR: modinfo: could not find module nvidia_current_updates 2012-10-03 16:16:07,021 DEBUG: Instantiated Handler subclass __builtin__.NvidiaDriverCurrentUpdates from name NvidiaDriverCurrentUpdates 2012-10-03 16:16:07,022 DEBUG: nvidia.available: falling back to default 2012-10-03 16:16:07,066 DEBUG: NVIDIA accelerated graphics driver (post-release updates) availability undetermined, adding to pool 2012-10-03 16:16:07,069 WARNING: modinfo for module nvidia_173_updates failed: ERROR: modinfo: could not find module nvidia_173_updates 2012-10-03 16:16:07,072 DEBUG: Instantiated Handler subclass __builtin__.NvidiaDriver173Updates from name NvidiaDriver173Updates 2012-10-03 16:16:07,073 DEBUG: nvidia.available: falling back to default 2012-10-03 16:16:07,105 DEBUG: NVIDIA accelerated graphics driver (post-release updates) availability undetermined, adding to pool 2012-10-03 16:16:07,112 WARNING: modinfo for module nvidia_173 failed: ERROR: modinfo: could not find module nvidia_173 2012-10-03 16:16:07,118 DEBUG: Instantiated Handler subclass __builtin__.NvidiaDriver173 from name NvidiaDriver173 2012-10-03 16:16:07,119 DEBUG: nvidia.available: falling back to default 2012-10-03 16:16:07,159 DEBUG: NVIDIA accelerated graphics driver availability undetermined, adding to pool 2012-10-03 16:16:07,166 WARNING: modinfo for module nvidia_96_updates failed: ERROR: modinfo: could not find module nvidia_96_updates 2012-10-03 16:16:07,171 DEBUG: Instantiated Handler subclass __builtin__.NvidiaDriver96Updates from name NvidiaDriver96Updates 2012-10-03 16:16:07,171 DEBUG: nvidia.available: falling back to default 2012-10-03 16:16:07,188 DEBUG: XorgDriverHandler(nvidia_96_updates, nvidia-96-updates, None): Disabling as package video ABI xorg-video-abi-10 does not match X.org video ABI xorg-video-abi-11 2012-10-03 16:16:07,188 DEBUG: NVIDIA accelerated graphics driver (post-release updates) not available 2012-10-03 16:16:07,188 DEBUG: loading custom handler /usr/share/jockey/handlers/madwifi.py 2012-10-03 16:16:07,195 WARNING: modinfo for module ath_pci failed: ERROR: modinfo: could not find module ath_pci 2012-10-03 16:16:07,195 DEBUG: Instantiated Handler subclass __builtin__.MadwifiHandler from name MadwifiHandler 2012-10-03 16:16:07,196 DEBUG: Alternate Atheros "madwifi" driver availability undetermined, adding to pool 2012-10-03 16:16:07,196 DEBUG: loading custom handler /usr/share/jockey/handlers/sl_modem.py 2012-10-03 16:16:07,213 DEBUG: Instantiated Handler subclass __builtin__.SlModem from name SlModem 2012-10-03 16:16:07,234 DEBUG: Software modem not available 2012-10-03 16:16:07,234 DEBUG: loading custom handler /usr/share/jockey/handlers/broadcom_wl.py 2012-10-03 16:16:07,239 WARNING: modinfo for module wl failed: ERROR: modinfo: could not find module wl 2012-10-03 16:16:07,277 DEBUG: Instantiated Handler subclass __builtin__.BroadcomWLHandler from name BroadcomWLHandler 2012-10-03 16:16:07,277 DEBUG: Broadcom STA wireless driver availability undetermined, adding to pool 2012-10-03 16:16:07,278 DEBUG: all custom handlers loaded 2012-10-03 16:16:07,278 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'pci:v00008086d000027D8sv00001043sd000082EAbc04sc03i00') 2012-10-03 16:16:07,568 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'snd_hda_intel'} 2012-10-03 16:16:07,699 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'snd_hda_intel', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,699 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'snd_hda_intel'} 2012-10-03 16:16:07,699 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'snd_hda_intel', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,699 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'input:b0000v0000p0000e0000-e0,5,kramlsfw6,') 2012-10-03 16:16:07,704 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'evbug'} 2012-10-03 16:16:07,704 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'evbug', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,704 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'pci:v00008086d000027DAsv00001043sd00008179bc0Csc05i00') 2012-10-03 16:16:07,707 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'i2c_i801'} 2012-10-03 16:16:07,707 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'i2c_i801', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,707 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'acpi:PNP0C01:') 2012-10-03 16:16:07,707 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'acpi:PNP0B00:') 2012-10-03 16:16:07,707 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'pci:v00001969d00001026sv00001043sd00008304bc02sc00i00') 2012-10-03 16:16:07,710 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'atl1e'} 2012-10-03 16:16:07,710 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'atl1e', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,710 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'input:b0003v04F2p0816e0111-e0,1,4,11,14,k71,72,73,74,75,77,79,7A,7B,7C,7D,7E,7F,80,81,82,83,84,85,86,87,88,89,8A,8C,8E,96,98,9E,9F,A1,A3,A4,A5,A6,AD,B0,B1,B2,B3,B4,B7,B8,B9,BA,BB,BC,BD,BE,BF,C0,C1,C2,F0,ram4,l0,1,2,sfw') 2012-10-03 16:16:07,711 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'evbug'} 2012-10-03 16:16:07,711 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'evbug', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,711 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'mac_hid'} 2012-10-03 16:16:07,711 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'mac_hid', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,711 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'platform:pcspkr') 2012-10-03 16:16:07,711 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'pcspkr'} 2012-10-03 16:16:07,711 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'pcspkr', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,712 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'snd_pcsp'} 2012-10-03 16:16:07,712 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'snd_pcsp', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,712 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'usb:v1D6Bp0001d0302dc09dsc00dp00ic09isc00ip00') 2012-10-03 16:16:07,724 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'input:b0019v0000p0001e0000-e0,1,k74,ramlsfw') 2012-10-03 16:16:07,724 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'evbug'} 2012-10-03 16:16:07,724 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'evbug', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,724 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'mac_hid'} 2012-10-03 16:16:07,724 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'mac_hid', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,724 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'acpi:PNP0C04:') 2012-10-03 16:16:07,724 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'platform:eisa') 2012-10-03 16:16:07,725 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'pci:v00008086d000027CCsv00001043sd00008179bc0Csc03i20') 2012-10-03 16:16:07,728 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'platform:Fixed MDIO bus') 2012-10-03 16:16:07,728 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'pci:v00008086d000029C0sv00001043sd000082B0bc06sc00i00') 2012-10-03 16:16:07,731 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'usb:v045Ep0766d0101dcEFdsc02dp01ic01isc01ip00') 2012-10-03 16:16:07,777 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'snd_usb_audio'} 2012-10-03 16:16:07,777 DEBUG: no corresponding handler available for {'driver_type': 'kernel_module', 'kernel_module': 'snd_usb_audio', 'jockey_handler': 'KernelModuleHandler'} 2012-10-03 16:16:07,777 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'acpi:PNP0F03:PNP0F13:') 2012-10-03 16:16:07,777 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'acpi:PNP0000:') 2012-10-03 16:16:07,777 DEBUG: querying driver db <jockey.detection.LocalKernelModulesDriverDB instance at 0xb7231a0c> about HardwareID('modalias', 'pci:v00001002d000095C5sv0000174Bsd0000E400bc03sc00i00') 2012-10-03 16:16:08,072 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'fglrx_updates', 'package': 'fglrx-updates'} 2012-10-03 16:16:08,133 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/i386-linux-gnu/mesa/ld.so.conf other target alt None other current alt None 2012-10-03 16:16:08,134 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:16:08,072 DEBUG: found match in handler pool xorg:fglrx_updates([FglrxDriverUpdate, nonfree, disabled] ATI/AMD proprietary FGLRX graphics driver (post-release updates)) 2012-10-03 16:16:08,136 WARNING: modinfo for module fglrx_updates failed: ERROR: modinfo: could not find module fglrx_updates 2012-10-03 16:16:08,147 DEBUG: fglrx.available: falling back to default 2012-10-03 16:16:08,173 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/i386-linux-gnu/mesa/ld.so.conf other target alt None other current alt None 2012-10-03 16:16:08,173 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:16:08,162 DEBUG: got handler xorg:fglrx_updates([FglrxDriverUpdate, nonfree, disabled] ATI/AMD proprietary FGLRX graphics driver (post-release updates)) 2012-10-03 16:16:08,173 DEBUG: searching handler for driver ID {'driver_type': 'kernel_module', 'kernel_module': 'fglrx', 'package': 'fglrx'} 2012-10-03 16:16:08,184 DEBUG: fglrx.enabled(fglrx): target_alt None current_alt /usr/lib/i386-linux-gnu/mesa/ld.so.conf other target alt None other current alt None 2012-10-03 16:16:08,184 DEBUG: fglrx is not the alternative in use 2012-10-03 16:16:08,173 DEBUG: found match in handler pool xorg:fglrx([FglrxDriver, nonfree, disabled] ATI/AMD proprietary FGLRX graphics driver) 2012-10-03 16:16:08,187 WARNING: modinfo for module fglrx failed: ERROR: modinfo: could not find module fglrx 2012-10-03 16:16:08,190 DEBUG: fglrx.available: falling back to default 2012-10-03 16:16:08,216 DEBUG: fglrx.enabled(fglrx): target_alt None current_alt /usr/lib/i386-linux-gnu/mesa/ld.so.conf other target alt None other current alt None . . . 2012-10-03 16:18:10,552 DEBUG: install progress initramfs-tools 62.500000 2012-10-03 16:18:22,249 DEBUG: install progress libc-bin 62.500000 2012-10-03 16:18:23,251 DEBUG: Selecting previously unselected package dkms. (Reading database ... 142496 files and directories currently installed.) Unpacking dkms (from .../dkms_2.2.0.3-1ubuntu3_all.deb) ... Selecting previously unselected package fakeroot. Unpacking fakeroot (from .../fakeroot_1.18.2-1_i386.deb) ... Selecting previously unselected package fglrx-updates. Unpacking fglrx-updates (from .../fglrx-updates_2%3a8.960-0ubuntu1.1_i386.deb) ... Selecting previously unselected package fglrx-amdcccle-updates. Unpacking fglrx-amdcccle-updates (from .../fglrx-amdcccle-updates_2%3a8.960-0ubuntu1.1_i386.deb) ... Processing triggers for man-db ... Processing triggers for ureadahead ... ureadahead will be reprofiled on next reboot dpkg: error processing libxss1 (--configure): package libxss1 is already installed and configured dpkg: error processing chromium-codecs-ffmpeg (--configure): package chromium-codecs-ffmpeg is already installed and configured dpkg: error processing chromium-browser (--configure): package chromium-browser is already installed and configured dpkg: error processing chromium-browser-l10n (--configure): package chromium-browser-l10n is already installed and configured Setting up dkms (2.2.0.3-1ubuntu3) ... No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already Setting up fakeroot (1.18.2-1) ... update-alternatives: using /usr/bin/fakeroot-sysv to provide /usr/bin/fakeroot (fakeroot) in auto mode. Setting up fglrx-updates (2:8.960-0ubuntu1.1) ... update-alternatives: using /usr/lib/fglrx/ld.so.conf to provide /etc/ld.so.conf.d/i386-linux-gnu_GL.conf (i386-linux-gnu_gl_conf) in auto mode. update-alternatives: warning: skip creation of /etc/OpenCL/vendors/amdocl64.icd because associated file /usr/lib/fglrx/etc/OpenCL/vendors/amdocl64.icd (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalcl.so because associated file /usr/lib32/fglrx/libaticalcl.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalrt.so because associated file /usr/lib32/fglrx/libaticalrt.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: using /usr/lib/fglrx/alt_ld.so.conf to provide /etc/ld.so.conf.d/x86_64-linux-gnu_GL.conf (x86_64-linux-gnu_gl_conf) in auto mode. update-initramfs: deferring update (trigger activated) Loading new fglrx-updates-8.960 DKMS files... First Installation: checking all kernels... Building only for 3.2.0-29-generic-pae Building for architecture i686 Building initial module for 3.2.0-29-generic-pae Done. fglrx_updates: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/3.2.0-29-generic-pae/updates/dkms/ depmod...... DKMS: install completed. update-initramfs: deferring update (trigger activated) Processing triggers for bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Setting up fglrx-amdcccle-updates (2:8.960-0ubuntu1.1) ... Processing triggers for initramfs-tools ... update-initramfs: Generating /boot/initrd.img-3.2.0-29-generic-pae Processing triggers for libc-bin ... ldconfig deferred processing now taking place Errors were encountered while processing: libxss1 chromium-codecs-ffmpeg chromium-browser chromium-browser-l10n Error in function: SystemError: E:Sub-process /usr/bin/dpkg returned an error code (1) 2012-10-03 16:18:23,256 ERROR: Package failed to install: Selecting previously unselected package dkms. (Reading database ... 142496 files and directories currently installed.) Unpacking dkms (from .../dkms_2.2.0.3-1ubuntu3_all.deb) ... Selecting previously unselected package fakeroot. Unpacking fakeroot (from .../fakeroot_1.18.2-1_i386.deb) ... Selecting previously unselected package fglrx-updates. Unpacking fglrx-updates (from .../fglrx-updates_2%3a8.960-0ubuntu1.1_i386.deb) ... Selecting previously unselected package fglrx-amdcccle-updates. Unpacking fglrx-amdcccle-updates (from .../fglrx-amdcccle-updates_2%3a8.960-0ubuntu1.1_i386.deb) ... Processing triggers for man-db ... Processing triggers for ureadahead ... ureadahead will be reprofiled on next reboot dpkg: error processing libxss1 (--configure): package libxss1 is already installed and configured dpkg: error processing chromium-codecs-ffmpeg (--configure): package chromium-codecs-ffmpeg is already installed and configured dpkg: error processing chromium-browser (--configure): package chromium-browser is already installed and configured dpkg: error processing chromium-browser-l10n (--configure): package chromium-browser-l10n is already installed and configured Setting up dkms (2.2.0.3-1ubuntu3) ... No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already Setting up fakeroot (1.18.2-1) ... update-alternatives: using /usr/bin/fakeroot-sysv to provide /usr/bin/fakeroot (fakeroot) in auto mode. Setting up fglrx-updates (2:8.960-0ubuntu1.1) ... update-alternatives: using /usr/lib/fglrx/ld.so.conf to provide /etc/ld.so.conf.d/i386-linux-gnu_GL.conf (i386-linux-gnu_gl_conf) in auto mode. update-alternatives: warning: skip creation of /etc/OpenCL/vendors/amdocl64.icd because associated file /usr/lib/fglrx/etc/OpenCL/vendors/amdocl64.icd (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalcl.so because associated file /usr/lib32/fglrx/libaticalcl.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: warning: skip creation of /usr/lib32/libaticalrt.so because associated file /usr/lib32/fglrx/libaticalrt.so (of link group i386-linux-gnu_gl_conf) doesn't exist. update-alternatives: using /usr/lib/fglrx/alt_ld.so.conf to provide /etc/ld.so.conf.d/x86_64-linux-gnu_GL.conf (x86_64-linux-gnu_gl_conf) in auto mode. update-initramfs: deferring update (trigger activated) Loading new fglrx-updates-8.960 DKMS files... First Installation: checking all kernels... Building only for 3.2.0-29-generic-pae Building for architecture i686 Building initial module for 3.2.0-29-generic-pae Done. fglrx_updates: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/3.2.0-29-generic-pae/updates/dkms/ depmod...... DKMS: install completed. update-initramfs: deferring update (trigger activated) Processing triggers for bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Setting up fglrx-amdcccle-updates (2:8.960-0ubuntu1.1) ... Processing triggers for initramfs-tools ... update-initramfs: Generating /boot/initrd.img-3.2.0-29-generic-pae Processing triggers for libc-bin ... ldconfig deferred processing now taking place Errors were encountered while processing: libxss1 chromium-codecs-ffmpeg chromium-browser chromium-browser-l10n Error in function: SystemError: E:Sub-process /usr/bin/dpkg returned an error code (1) 2012-10-03 16:18:23,590 WARNING: /sys/module/fglrx_updates/drivers does not exist, cannot rebind fglrx_updates driver 2012-10-03 16:18:43,601 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:43,601 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:43,617 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:43,617 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,143 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,144 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,154 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,154 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,182 DEBUG: fglrx.enabled(fglrx): target_alt /usr/lib/fglrx/ld.so.conf current_alt /usr/lib/fglrx/ld.so.conf other target alt /usr/lib/fglrx/alt_ld.so.conf other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,182 DEBUG: XorgDriverHandler(%s, %s).enabled(): No X.org driver set, not checking 2012-10-03 16:18:54,215 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,215 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,229 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,229 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,268 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,268 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,279 DEBUG: fglrx.enabled(fglrx_updates): target_alt None current_alt /usr/lib/fglrx/ld.so.conf other target alt None other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,279 DEBUG: fglrx_updates is not the alternative in use 2012-10-03 16:18:54,298 DEBUG: fglrx.enabled(fglrx): target_alt /usr/lib/fglrx/ld.so.conf current_alt /usr/lib/fglrx/ld.so.conf other target alt /usr/lib/fglrx/alt_ld.so.conf other current alt /usr/lib/fglrx/alt_ld.so.conf 2012-10-03 16:18:54,298 DEBUG: XorgDriverHandler(%s, %s).enabled(): No X.org driver set, not checking 2012-10-03 16:18:57,828 DEBUG: Shutting down I don't know how to troubleshoot from looking at the log file, could somebody assist me with this please? You can download the log file at: https://www.dropbox.com/s/a59d2hyabo02q5z/jockey.log

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  • OpenGL flickerinng near the edges

    - by Daniel
    I am trying to simulate particles moving around the scene with OpenCL for computation and OpenGL for rendering with GLUT. There is no OpenCL-OpenGL interop yet, so the drawing is done in the older fixed pipeline way. Whenever circles get close to the edges, they start to flicker. The drawing should draw a part of the circle on the top of the scene and a part on the bottom. The effect is the following: The balls you see on the bottom should be one part on the bottom and one part on the top. Wrapping around the scene, so to say, but they constantly flicker. The code for drawing them is: void Scene::drawCircle(GLuint index){ glMatrixMode(GL_MODELVIEW); glLoadIdentity(); glTranslatef(pos.at(2*index),pos.at(2*index+1), 0.0f); glBegin(GL_TRIANGLE_FAN); GLfloat incr = (2.0 * M_PI) / (GLfloat) slices; glColor3f(0.8f, 0.255f, 0.26f); glVertex2f(0.0f, 0.0f); glColor3f(1.0f, 0.0f, 0.0f); for(GLint i = 0; i <=slices; ++i){ GLfloat x = radius * sin((GLfloat) i * incr); GLfloat y = radius * cos((GLfloat) i * incr); glVertex2f(x, y); } glEnd(); } If it helps, this is the reshape method: void Scene::reshape(GLint width, GLint height){ if(0 == height) height = 1; //Prevent division by zero glViewport(0, 0, width, height); glMatrixMode(GL_PROJECTION); glLoadIdentity(); gluOrtho2D(xmin, xmax, ymin, ymax); std::cout << xmin << " " << xmax << " " << ymin << " " << ymax << std::endl; }

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  • RiverTrail - JavaScript GPPGU Data Parallelism

    - by JoshReuben
    Where is WebCL ? The Khronos WebCL working group is working on a JavaScript binding to the OpenCL standard so that HTML 5 compliant browsers can host GPGPU web apps – e.g. for image processing or physics for WebGL games - http://www.khronos.org/webcl/ . While Nokia & Samsung have some protype WebCL APIs, Intel has one-upped them with a higher level of abstraction: RiverTrail. Intro to RiverTrail Intel Labs JavaScript RiverTrail provides GPU accelerated SIMD data-parallelism in web applications via a familiar JavaScript programming paradigm. It extends JavaScript with simple deterministic data-parallel constructs that are translated at runtime into a low-level hardware abstraction layer. With its high-level JS API, programmers do not have to learn a new language or explicitly manage threads, orchestrate shared data synchronization or scheduling. It has been proposed as a draft specification to ECMA a (known as ECMA strawman). RiverTrail runs in all popular browsers (except I.E. of course). To get started, download a prebuilt version https://github.com/downloads/RiverTrail/RiverTrail/rivertrail-0.17.xpi , install Intel's OpenCL SDK http://www.intel.com/go/opencl and try out the interactive River Trail shell http://rivertrail.github.com/interactive For a video overview, see  http://www.youtube.com/watch?v=jueg6zB5XaM . ParallelArray the ParallelArray type is the central component of this API & is a JS object that contains ordered collections of scalars – i.e. multidimensional uniform arrays. A shape property describes the dimensionality and size– e.g. a 2D RGBA image will have shape [height, width, 4]. ParallelArrays are immutable & fluent – they are manipulated by invoking methods on them which produce new ParallelArray objects. ParallelArray supports several constructors over arrays, functions & even the canvas. // Create an empty Parallel Array var pa = new ParallelArray(); // pa0 = <>   // Create a ParallelArray out of a nested JS array. // Note that the inner arrays are also ParallelArrays var pa = new ParallelArray([ [0,1], [2,3], [4,5] ]); // pa1 = <<0,1>, <2,3>, <4.5>>   // Create a two-dimensional ParallelArray with shape [3, 2] using the comprehension constructor var pa = new ParallelArray([3, 2], function(iv){return iv[0] * iv[1];}); // pa7 = <<0,0>, <0,1>, <0,2>>   // Create a ParallelArray from canvas.  This creates a PA with shape [w, h, 4], var pa = new ParallelArray(canvas); // pa8 = CanvasPixelArray   ParallelArray exposes fluent API functions that take an elemental JS function for data manipulation: map, combine, scan, filter, and scatter that return a new ParallelArray. Other functions are scalar - reduce  returns a scalar value & get returns the value located at a given index. The onus is on the developer to ensure that the elemental function does not defeat data parallelization optimization (avoid global var manipulation, recursion). For reduce & scan, order is not guaranteed - the onus is on the dev to provide an elemental function that is commutative and associative so that scan will be deterministic – E.g. Sum is associative, but Avg is not. map Applies a provided elemental function to each element of the source array and stores the result in the corresponding position in the result array. The map method is shape preserving & index free - can not inspect neighboring values. // Adding one to each element. var source = new ParallelArray([1,2,3,4,5]); var plusOne = source.map(function inc(v) {     return v+1; }); //<2,3,4,5,6> combine Combine is similar to map, except an index is provided. This allows elemental functions to access elements from the source array relative to the one at the current index position. While the map method operates on the outermost dimension only, combine, can choose how deep to traverse - it provides a depth argument to specify the number of dimensions it iterates over. The elemental function of combine accesses the source array & the current index within it - element is computed by calling the get method of the source ParallelArray object with index i as argument. It requires more code but is more expressive. var source = new ParallelArray([1,2,3,4,5]); var plusOne = source.combine(function inc(i) { return this.get(i)+1; }); reduce reduces the elements from an array to a single scalar result – e.g. Sum. // Calculate the sum of the elements var source = new ParallelArray([1,2,3,4,5]); var sum = source.reduce(function plus(a,b) { return a+b; }); scan Like reduce, but stores the intermediate results – return a ParallelArray whose ith elements is the results of using the elemental function to reduce the elements between 0 and I in the original ParallelArray. // do a partial sum var source = new ParallelArray([1,2,3,4,5]); var psum = source.scan(function plus(a,b) { return a+b; }); //<1, 3, 6, 10, 15> scatter a reordering function - specify for a certain source index where it should be stored in the result array. An optional conflict function can prevent an exception if two source values are assigned the same position of the result: var source = new ParallelArray([1,2,3,4,5]); var reorder = source.scatter([4,0,3,1,2]); // <2, 4, 5, 3, 1> // if there is a conflict use the max. use 33 as a default value. var reorder = source.scatter([4,0,3,4,2], 33, function max(a, b) {return a>b?a:b; }); //<2, 33, 5, 3, 4> filter // filter out values that are not even var source = new ParallelArray([1,2,3,4,5]); var even = source.filter(function even(iv) { return (this.get(iv) % 2) == 0; }); // <2,4> Flatten used to collapse the outer dimensions of an array into a single dimension. pa = new ParallelArray([ [1,2], [3,4] ]); // <<1,2>,<3,4>> pa.flatten(); // <1,2,3,4> Partition used to restore the original shape of the array. var pa = new ParallelArray([1,2,3,4]); // <1,2,3,4> pa.partition(2); // <<1,2>,<3,4>> Get return value found at the indices or undefined if no such value exists. var pa = new ParallelArray([0,1,2,3,4], [10,11,12,13,14], [20,21,22,23,24]) pa.get([1,1]); // 11 pa.get([1]); // <10,11,12,13,14>

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  • AMD FirePro V8800 2GB

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