Package maintainers and Hackage trustees are allowed to edit certain bits
of package metadata after a release, without uploading a new tarball.
Note that the tarball itself is never changed, just the metadata that is
stored separately. For more information about metadata revisions, please
refer to the
Hackage Metadata Revisions FAQ.
| No. |
Time |
User |
SHA256 |
| -r3 (cuda-0.6.5.0-r3) |
2014-10-02T20:38:08Z |
TrevorMcDonell |
4f35dba611b817d0b3aaf49ca7807fe615962b20b773a075be3a1181224eed29
|
|
Changed description
from The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.
<http://developer.nvidia.com/cuda-downloads>
The configure script will look for your CUDA installation in the standard
places, and if the nvcc compiler is found in your PATH, relative to that.
This release is for version 6.5 of the CUDA toolkit.
/NOTE:/
Due to a bug in nvcc, you must use c2hs-0.17.2.
to The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.
<http://developer.nvidia.com/cuda-downloads>
The configure script will look for your CUDA installation in the standard
places, and if the nvcc compiler is found in your PATH, relative to that.
This release is for version 6.5 of the CUDA toolkit.
[/NOTE:/]
Due to a bug in nvcc, you must use c2hs-0.17.2. See tmcdonell/cuda#18.
|
| -r2 (cuda-0.6.5.0-r2) |
2014-10-02T19:47:17Z |
TrevorMcDonell |
678d568ba6ce4151907bb4896b4b05dbbc2c183668a53ce27642510edef1fa75
|
|
Changed description
from The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.
<http://developer.nvidia.com/cuda-downloads>
The configure script will look for your CUDA installation in the standard
places, and if the nvcc compiler is found in your PATH, relative to that.
This release is for version 6.5 of the CUDA toolkit.
to The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.
<http://developer.nvidia.com/cuda-downloads>
The configure script will look for your CUDA installation in the standard
places, and if the nvcc compiler is found in your PATH, relative to that.
This release is for version 6.5 of the CUDA toolkit.
/NOTE:/
Due to a bug in nvcc, you must use c2hs-0.17.2.
|
| -r1 (cuda-0.6.5.0-r1) |
2014-09-08T22:27:43Z |
TrevorMcDonell |
3b59ec1631424096a7ab71fa0b20897e2bf3b34ab05a94fab875627ba218a544
|
|
Changed description
from The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.
<http://developer.nvidia.com/cuda-downloads>
The configure script will look for your CUDA installation in the standard
places, and if the nvcc compiler is found in your PATH, relative to that.
This release is for version 6.0 of the CUDA toolkit.
to The CUDA library provides a direct, general purpose C-like SPMD programming
model for NVIDIA graphics cards (G8x series onwards). This is a collection
of bindings to allow you to call and control, although not write, such
functions from Haskell-land. You will need to install the CUDA driver and
developer toolkit.
<http://developer.nvidia.com/cuda-downloads>
The configure script will look for your CUDA installation in the standard
places, and if the nvcc compiler is found in your PATH, relative to that.
This release is for version 6.5 of the CUDA toolkit.
|
| -r0 (cuda-0.6.5.0-r0) |
2014-09-03T09:29:11Z |
TrevorMcDonell |
7a13c7a8367e879936f69f29374255248acd21ab629442d6fc991692162622ac
|
|
|