CUDA Toolkit and SDK 2.3 released
[b]IMPORTANT NOTE[/b]

Because of the new support for cross-compilation, the library locations on Linux have changed. 32-bit libraries are located by default at /usr/local/cuda/lib and 64-bit libraries are located by default at /usr/local/cuda/lib64. This is a change from 2.2 and will necessitate changing /etc/ld.so.conf or LD_LIBRARY_PATH.

The CUDA Toolkit and SDK v2.3 are now released and available to all developers.

A brief overview of features--there are a lot:

[list]
[*] The CUFFT Library now supports double-precision transforms and includes significant performance improvements for single-precision transforms as well. See the CUDA Toolkit release notes for details.

[*] The CUDA-GDB hardware debugger and CUDA Visual Profiler are now included in the CUDA Toolkit installer, and the CUDA-GDB debugger is now available for all supported Linux distros. (see below)

[*] Each GPU in an SLI group is now enumerated individually, so compute applications can now take advantage of multi-GPU performance even when SLI is enabled for graphics.

[*] The 64-bit versions of the CUDA Toolkit now support compiling 32-bit applications. Please note that the installation location of the libraries has changed, so developers on 64-bit Linux must update their LD_LIBRARY_PATH to contain either /usr/local/cuda/lib or /usr/local/cuda/lib64.

[*] New support for fp16 <-> fp32 conversion intrinsics allows storage of data in fp16 format with computation in fp32. Use of fp16 format is ideal for applications that require higher numerical range than 16-bit integer but less precision than fp32 and reduces memory space and bandwidth consumption.

[*] The CUDA SDK has been updated to include:
[list]
[*] A new pitchLinearTexure code sample that shows how to efficiently texture from pitch linear memory.

[*] A new PTXJIT code sample illustrating how to use cuModuleLoadDataEx() to load PTX source from memory instead of loading a file.

[*] Two new code samples for Windows, showing how to use the NVCUVID library to decode MPEG-2, VC-1, and H.264 content and pass frames to OpenGL or Direct3D for display.

[*] Updated code samples showing how to properly align CUDA kernel function parameters so the same code works on both x32 and x64 systems.
[/list]

[*] The Visual Profiler includes several enhancements:
[list]
[*] All memory transfer API calls are now reported

[*] Support for profiling multiple contexts per GPU

[*] Synchronized clocks for requested start time on the CPU and start/end times on the GPU for all kernel launches and memory transfers

[*] Global memory load and store efficiency metrics for GPUs with compute capability 1.2 and higher
[/list]

[*] The CUDA Driver for MacOS is now packaged separately from the CUDA Toolkit.

[*] Support for major Linux distros, MacOS X, and Windows:
[list]
[*]MacOS X 10.5.6 and later (32-bit)

[*]Windows XP/Vista/7 with Visual Studio 8 (VC2005 SP1) and 9 (VC2008)

[*]Fedora 10, RHEL 4.7 & 5.3, SLED 10.2 & 11.0, OpenSUSE 11.1, and Ubuntu 8.10 & 9.04
[/list]
[/list][b]Notes for MacOS developers[/b]
[list]
[*] The cudadriver_2.3.1_macos.pkg driver is for use with Quadro FX 4800 and GeForce GTX 285.
[*] The cudadriver_2.3.1_macos.pkg driver may also be used with any NVIDIA GPU on SnowLeopard.
[*] Use the cudadriver_2.3.0_macos.pkg driver for MacOS X 10.5.6 and later (pre-SnowLeoard) with all other GPUs.
[/list]
[b]Download Links[/b]
Mac developers: use the packages in [url="http://forums.nvidia.com/index.php?showtopic=106394"]this post.[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/docs/CUDA_Getting_Started_2.3_Linux.pdf"]Getting Started on Linux[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/docs/CUDA_Getting_Started_2.3_MacOS.pdf"]Getting Started on OS X[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/docs/CUDA_Getting_Started_2.3_Windows.pdf"]Getting Started on Windows[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winxp_32_190.38_general.exe"]190.38 for WinXP32[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winxp_64_190.38_general.exe"]190.38 for WinXP64[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winvista_32_190.38_general.exe"]190.38 for Vista32[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winvista_64_190.38_general.exe"]190.38 for Vista64[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_linux_32_190.18.run"]190.18 for Linux 32[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_linux_64_190.18.run"]190.18 for Linux 64[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudaprof_1.3_macos.dmg"]CUDA Visual Profiler 1.3 for OS X[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_fedora10.run"]CUDA Toolkit 2.3 for Fedora 10 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_rhel4.7.run"]CUDA Toolkit 2.3 for RHEL 4.7 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_rhel5.3.run"]CUDA Toolkit 2.3 for RHEL 5.3 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_sled10.2.run"]CUDA Toolkit 2.3 for SLED 10.2 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_sled11.0.run"]CUDA Toolkit 2.3 for SLED 11.0 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_suse11.1.run"]CUDA Toolkit 2.3 for SuSE 11.1 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_ubuntu8.10.run"]CUDA Toolkit 2.3 for Ubuntu 8.10 - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_32_ubuntu9.04.run"]CUDA Toolkit 2.3 for Ubuntu 9.04 - 32-bit[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_fedora10.run"]CUDA Toolkit 2.3 for Fedora 10 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_rhel4.7.run"]CUDA Toolkit 2.3 for RHEL 4.7 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_rhel5.3.run"]CUDA Toolkit 2.3 for RHEL 5.3 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_sled10.2.run"]CUDA Toolkit 2.3 for SLED 10.2 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_sled11.0.run"]CUDA Toolkit 2.3 for SLED 11.0 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_suse11.1.run"]CUDA Toolkit 2.3 for SuSE 11.1 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_ubuntu8.10.run"]CUDA Toolkit 2.3 for Ubuntu 8.10 - 64-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_linux_64_ubuntu9.04.run"]CUDA Toolkit 2.3 for Ubuntu 9.04 - 64-bit[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_win_32.exe"]CUDA Toolkit 2.3 for Windows - 32-bit[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/cudatoolkit_2.3_win_64.exe"]CUDA Toolkit 2.3 for Windows - 64-bit[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/CUDA_GDB_README.txt"]CUDA GDB Readme[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/CUDA_GDB_User_Manual_2.3beta.pdf"]CUDA GDB 2.3 User Manual[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/CUDA_Reference_Manual_2.3.pdf"]CUDA C 2.3 Reference Manual[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/cudaprof_2.3_readme.txt"]CUDA Visual Profiler 2.3 Readme[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/cudaprof_1.3_release_notes_macos.txt"]CUDA Visual Profiler for OS X 1.3[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/cudatoolkit_eula.txt"]CUDA Toolkit 2.3 EULA[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/cudatoolkit_release_notes_linux.txt"]CUDA Toolkit 2.3 Release Notes for Linux[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/cudatoolkit_release_notes_macos.txt"]CUDA Toolkit 2.3 Release Notes for OS X[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/cudatoolkit_release_notes_windows.txt"]CUDA Toolkit 2.3 Release Notes for Windows[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/NVIDIA_CUDA_ProgrammingGuide_2.3.pdf"]CUDA C Programming Guide 2.3[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/NVIDIA_CUDA_BestPracticesGuide_2.3.pdf"]CUDA C Best Practices Guide 2.3[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/toolkit/docs/online/"]CUDA C Online Documentation[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/cudasdk_2.3_linux.run"]CUDA SDK 2.3 for Linux[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/cudasdk_2.3_win_32.exe"]CUDA SDK 2.3 for Win32[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/cudasdk_2.3_win_64.exe"]CUDA SDK 2.3 for Win64[/url]

[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/docs/cudasdk_eula.pdf"]CUDA SDK 2.3 EULA[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/docs/cudasdk_release_notes_linux.txt"]CUDA SDK 2.3 Release Notes for Linux[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/docs/cudasdk_release_notes_macos.txt"]CUDA SDK 2.3 Release Notes for OS X[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/sdk/docs/cudasdk_release_notes_windows.txt"]CUDA SDK 2.3 Release Notes for Windows[/url]
IMPORTANT NOTE



Because of the new support for cross-compilation, the library locations on Linux have changed. 32-bit libraries are located by default at /usr/local/cuda/lib and 64-bit libraries are located by default at /usr/local/cuda/lib64. This is a change from 2.2 and will necessitate changing /etc/ld.so.conf or LD_LIBRARY_PATH.



The CUDA Toolkit and SDK v2.3 are now released and available to all developers.



A brief overview of features--there are a lot:




  • The CUFFT Library now supports double-precision transforms and includes significant performance improvements for single-precision transforms as well. See the CUDA Toolkit release notes for details.

  • The CUDA-GDB hardware debugger and CUDA Visual Profiler are now included in the CUDA Toolkit installer, and the CUDA-GDB debugger is now available for all supported Linux distros. (see below)

  • Each GPU in an SLI group is now enumerated individually, so compute applications can now take advantage of multi-GPU performance even when SLI is enabled for graphics.

  • The 64-bit versions of the CUDA Toolkit now support compiling 32-bit applications. Please note that the installation location of the libraries has changed, so developers on 64-bit Linux must update their LD_LIBRARY_PATH to contain either /usr/local/cuda/lib or /usr/local/cuda/lib64.

  • New support for fp16 <-> fp32 conversion intrinsics allows storage of data in fp16 format with computation in fp32. Use of fp16 format is ideal for applications that require higher numerical range than 16-bit integer but less precision than fp32 and reduces memory space and bandwidth consumption.

  • The CUDA SDK has been updated to include:

    • A new pitchLinearTexure code sample that shows how to efficiently texture from pitch linear memory.


    • A new PTXJIT code sample illustrating how to use cuModuleLoadDataEx() to load PTX source from memory instead of loading a file.


    • Two new code samples for Windows, showing how to use the NVCUVID library to decode MPEG-2, VC-1, and H.264 content and pass frames to OpenGL or Direct3D for display.


    • Updated code samples showing how to properly align CUDA kernel function parameters so the same code works on both x32 and x64 systems.




  • The Visual Profiler includes several enhancements:

    • All memory transfer API calls are now reported


    • Support for profiling multiple contexts per GPU


    • Synchronized clocks for requested start time on the CPU and start/end times on the GPU for all kernel launches and memory transfers


    • Global memory load and store efficiency metrics for GPUs with compute capability 1.2 and higher




  • The CUDA Driver for MacOS is now packaged separately from the CUDA Toolkit.

  • Support for major Linux distros, MacOS X, and Windows:

    • MacOS X 10.5.6 and later (32-bit)


    • Windows XP/Vista/7 with Visual Studio 8 (VC2005 SP1) and 9 (VC2008)


    • Fedora 10, RHEL 4.7 & 5.3, SLED 10.2 & 11.0, OpenSUSE 11.1, and Ubuntu 8.10 & 9.04


Notes for MacOS developers


  • The cudadriver_2.3.1_macos.pkg driver is for use with Quadro FX 4800 and GeForce GTX 285.
  • The cudadriver_2.3.1_macos.pkg driver may also be used with any NVIDIA GPU on SnowLeopard.
  • Use the cudadriver_2.3.0_macos.pkg driver for MacOS X 10.5.6 and later (pre-SnowLeoard) with all other GPUs.


Download Links

Mac developers: use the packages in this post.



Getting Started on Linux

Getting Started on OS X

Getting Started on Windows



190.38 for WinXP32

190.38 for WinXP64

190.38 for Vista32

190.38 for Vista64

190.18 for Linux 32

190.18 for Linux 64



CUDA Visual Profiler 1.3 for OS X



CUDA Toolkit 2.3 for Fedora 10 - 32-bit

CUDA Toolkit 2.3 for RHEL 4.7 - 32-bit

CUDA Toolkit 2.3 for RHEL 5.3 - 32-bit

CUDA Toolkit 2.3 for SLED 10.2 - 32-bit

CUDA Toolkit 2.3 for SLED 11.0 - 32-bit

CUDA Toolkit 2.3 for SuSE 11.1 - 32-bit

CUDA Toolkit 2.3 for Ubuntu 8.10 - 32-bit

CUDA Toolkit 2.3 for Ubuntu 9.04 - 32-bit



CUDA Toolkit 2.3 for Fedora 10 - 64-bit

CUDA Toolkit 2.3 for RHEL 4.7 - 64-bit

CUDA Toolkit 2.3 for RHEL 5.3 - 64-bit

CUDA Toolkit 2.3 for SLED 10.2 - 64-bit

CUDA Toolkit 2.3 for SLED 11.0 - 64-bit

CUDA Toolkit 2.3 for SuSE 11.1 - 64-bit

CUDA Toolkit 2.3 for Ubuntu 8.10 - 64-bit

CUDA Toolkit 2.3 for Ubuntu 9.04 - 64-bit



CUDA Toolkit 2.3 for Windows - 32-bit

CUDA Toolkit 2.3 for Windows - 64-bit



CUDA GDB Readme

CUDA GDB 2.3 User Manual

CUDA C 2.3 Reference Manual

CUDA Visual Profiler 2.3 Readme

CUDA Visual Profiler for OS X 1.3

CUDA Toolkit 2.3 EULA



CUDA Toolkit 2.3 Release Notes for Linux

CUDA Toolkit 2.3 Release Notes for OS X

CUDA Toolkit 2.3 Release Notes for Windows

CUDA C Programming Guide 2.3

CUDA C Best Practices Guide 2.3

CUDA C Online Documentation



CUDA SDK 2.3 for Linux

CUDA SDK 2.3 for Win32

CUDA SDK 2.3 for Win64



CUDA SDK 2.3 EULA

CUDA SDK 2.3 Release Notes for Linux

CUDA SDK 2.3 Release Notes for OS X

CUDA SDK 2.3 Release Notes for Windows

#1
Posted 07/21/2009 07:11 PM   
This space reserved for other important things. Like unsupported/undocumented stream support that should work fine in CUFFT 2.3 :)

Notebook drivers:

[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winxp_32_190.38-beta_notebook.exe"]XP32 190.38[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winxp_64_190.38-beta_notebook.exe"]XP64 190.38[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winvista_32_190.38-beta_notebook.exe"]Vista32 190.38[/url]
[url="http://developer.download.nvidia.com/compute/cuda/2_3/drivers/cudadriver_2.3_winvista_64_190.38-beta_notebook.exe"]Vista64 190.38[/url]
This space reserved for other important things. Like unsupported/undocumented stream support that should work fine in CUFFT 2.3 :)



Notebook drivers:



XP32 190.38

XP64 190.38

Vista32 190.38

Vista64 190.38

#2
Posted 07/21/2009 07:24 PM   
Cool. I'm downloading it and installing now.
Cool. I'm downloading it and installing now.

GPU.NET: Write your GPU code in 100% pure C#.

Learn more at tidepowerd.com, and download a free 30-day trial of GPU.NET. Follow @tidepowerd for release updates.



GPU.NET example projects

#3
Posted 07/21/2009 07:56 PM   
I'm looking forward to trying 2.3 out.
I'm looking forward to trying 2.3 out.

#4
Posted 07/21/2009 08:05 PM   
[quote name='tmurray' post='568185' date='Jul 21 2009, 03:24 PM']This space reserved for other important things. Like unsupported/undocumented stream support that should work fine in CUFFT 2.3 :)[/quote]

I have a previous version installed in Linux. Do I have to uninstall that before installing 2.3? I have checked the installation instructions in the Release Notes, but they do not mention this.
[quote name='tmurray' post='568185' date='Jul 21 2009, 03:24 PM']This space reserved for other important things. Like unsupported/undocumented stream support that should work fine in CUFFT 2.3 :)



I have a previous version installed in Linux. Do I have to uninstall that before installing 2.3? I have checked the installation instructions in the Release Notes, but they do not mention this.

#5
Posted 07/21/2009 08:38 PM   
/w00t.gif' class='bbc_emoticon' alt=':w00t:' />
[code]# define NumThreads infinite
for(int i=0;i<NumThreads;i++)
PRINTF(\n"Thank u VERY MUCH for this CUDA 2.3 and supporting 9.04 Linux ((64bit) " );[/code]

:)

Installing it now..
/w00t.gif' class='bbc_emoticon' alt=':w00t:' />

# define NumThreads infinite

for(int i=0;i<NumThreads;i++)

PRINTF(\n"Thank u VERY MUCH for this CUDA 2.3 and supporting 9.04 Linux ((64bit) " );




:)



Installing it now..

Lead.. the world will follow..!

#6
Posted 07/21/2009 08:58 PM   
Thank you, you just have ruined the rest of this summer for me :)
It's ok, it's raining all the time.
Thank you, you just have ruined the rest of this summer for me :)

It's ok, it's raining all the time.

#7
Posted 07/21/2009 09:52 PM   
On my system (openSuSE 11.1) ./cudasdk_2.3_linux.run hangs indefinitely, when trying to run it. I use tcsh as my login shell. The same happened before with 2.3 beta. Running it with --noexec --keep and then installing on foot works ok. Has anyone had a similar experience?
On my system (openSuSE 11.1) ./cudasdk_2.3_linux.run hangs indefinitely, when trying to run it. I use tcsh as my login shell. The same happened before with 2.3 beta. Running it with --noexec --keep and then installing on foot works ok. Has anyone had a similar experience?

#8
Posted 07/21/2009 10:29 PM   
All installed. All compiled. All working very fast. I have to check if it is faster than 2.2
It looks like the compilation is faster.

Question: How can I get 135 GFLOPS with 12 processors @1.35Ghz sm1.1 running nbody simulation?

Linux x86_64 slackware.
All installed. All compiled. All working very fast. I have to check if it is faster than 2.2

It looks like the compilation is faster.



Question: How can I get 135 GFLOPS with 12 processors @1.35Ghz sm1.1 running nbody simulation?



Linux x86_64 slackware.

#9
Posted 07/21/2009 10:35 PM   
[quote name='apaehler' post='568245' date='Jul 21 2009, 03:29 PM']On my system (openSuSE 11.1) ./cudasdk_2.3_linux.run hangs indefinitely, when trying to run it. I use tcsh as my login shell. The same happened before with 2.3 beta. Running it with --noexec --keep and then installing on foot works ok. Has anyone had a similar experience?[/quote]
There's some weird thing with SuSE where it doesn't flush output where everything else on the planet flushes. Hit enter, and it will then magically show output and work. Don't ask me, but I've seen it on every SuSE machine I've ever used.
[quote name='apaehler' post='568245' date='Jul 21 2009, 03:29 PM']On my system (openSuSE 11.1) ./cudasdk_2.3_linux.run hangs indefinitely, when trying to run it. I use tcsh as my login shell. The same happened before with 2.3 beta. Running it with --noexec --keep and then installing on foot works ok. Has anyone had a similar experience?

There's some weird thing with SuSE where it doesn't flush output where everything else on the planet flushes. Hit enter, and it will then magically show output and work. Don't ask me, but I've seen it on every SuSE machine I've ever used.

#10
Posted 07/21/2009 10:51 PM   
The link to the 2.3 Reference Manual above goes to a PDF with only 3 pages. Maybe it's a bad copy? Or my PDF reader is borked again?
The link to the 2.3 Reference Manual above goes to a PDF with only 3 pages. Maybe it's a bad copy? Or my PDF reader is borked again?

GPU.NET: Write your GPU code in 100% pure C#.

Learn more at tidepowerd.com, and download a free 30-day trial of GPU.NET. Follow @tidepowerd for release updates.



GPU.NET example projects

#11
Posted 07/21/2009 11:13 PM   
[quote name='profquail' post='568263' date='Jul 21 2009, 04:13 PM']The link to the 2.3 Reference Manual above goes to a PDF with only 3 pages. Maybe it's a bad copy? Or my PDF reader is borked again?[/quote]
you're right, it's a bad copy. I'll get that fixed ASAP.
[quote name='profquail' post='568263' date='Jul 21 2009, 04:13 PM']The link to the 2.3 Reference Manual above goes to a PDF with only 3 pages. Maybe it's a bad copy? Or my PDF reader is borked again?

you're right, it's a bad copy. I'll get that fixed ASAP.

#12
Posted 07/21/2009 11:18 PM   
[quote name='tmurray' post='568254' date='Jul 21 2009, 02:51 PM']There's some weird thing with SuSE where it doesn't flush output where everything else on the planet flushes. Hit enter, and it will then magically show output and work. Don't ask me, but I've seen it on every SuSE machine I've ever used.[/quote]
not necessarily a good idea, I've seen it defaulting to ~/NVIDIA_CUDA_SDK after just hitting enter. Not really a show-stopper, I just let the SDK install whereever it wants to and move the whole directory tree afterwards.

Curious if the SDK now actually compiles on suse11.1 32bit. Previous releases all died on some of the driver API examples. Not a show-stopper either (which is why I never complained) because I just build cutil and then every example that I really need (deviceQuery mostly to check if new machines installed properly)
[quote name='tmurray' post='568254' date='Jul 21 2009, 02:51 PM']There's some weird thing with SuSE where it doesn't flush output where everything else on the planet flushes. Hit enter, and it will then magically show output and work. Don't ask me, but I've seen it on every SuSE machine I've ever used.

not necessarily a good idea, I've seen it defaulting to ~/NVIDIA_CUDA_SDK after just hitting enter. Not really a show-stopper, I just let the SDK install whereever it wants to and move the whole directory tree afterwards.



Curious if the SDK now actually compiles on suse11.1 32bit. Previous releases all died on some of the driver API examples. Not a show-stopper either (which is why I never complained) because I just build cutil and then every example that I really need (deviceQuery mostly to check if new machines installed properly)

#13
Posted 07/22/2009 12:01 AM   
Great news!! Thanks! /thumbup.gif' class='bbc_emoticon' alt=':thumbup:' />

Looking forward to try out but unfortunatly it seems that the links to the 64bits windows drivers are broken...

Cheers,

Greg
Great news!! Thanks! /thumbup.gif' class='bbc_emoticon' alt=':thumbup:' />



Looking forward to try out but unfortunatly it seems that the links to the 64bits windows drivers are broken...



Cheers,



Greg

#14
Posted 07/22/2009 12:19 AM   
checking on it...
checking on it...

#15
Posted 07/22/2009 12:22 AM   
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