On 4/4/2015 2:59 PM, ponce wrote:
Sure, the licensing of Derelict probably allows it, and deimos and Derelict are
complimentary anyway.
Thanks. I think I'll give it a try and see what it takes to get a simple example
working.
On Saturday, 4 April 2015 at 17:21:45 UTC, Walter Bright wrote:
On 4/4/2015 3:45 AM, weaselcat wrote:
I really think you're barking up the wrong tree here - cuda is
a closed
proprietary solution only implemented by one vendor
effectively cutting off
anyone that doesn't work with nvidia hardwar
On Saturday, 4 April 2015 at 17:16:19 UTC, Walter Bright wrote:
On 4/4/2015 4:29 AM, ponce wrote:
On Saturday, 4 April 2015 at 09:50:09 UTC, Walter Bright wrote:
* the example shown is useless
The problem with example is that someone have to maintain them.
For DerelictBgfx we removed all tra
On 4/4/2015 3:45 AM, weaselcat wrote:
I really think you're barking up the wrong tree here - cuda is a closed
proprietary solution only implemented by one vendor effectively cutting off
anyone that doesn't work with nvidia hardware.
That's right. On the other hand,
1. Nvidia hardware is pervas
On 4/4/2015 4:29 AM, ponce wrote:
On Saturday, 4 April 2015 at 09:50:09 UTC, Walter Bright wrote:
* the example shown is useless
The problem with example is that someone have to maintain them.
For DerelictBgfx we removed all translated examples.
So the Derelict policy is to remove example to
On 4/4/2015 4:16 AM, ponce wrote:
Also consider costs: NVIDIA will artificially limit the speed of pinned memory
transferts to push you to buy expensive $3000 discrete GPUs. They have segmented
the market to make the most of people performance-starved. It goes to the point
that you are left with
On 4/4/2015 3:58 AM, John Colvin wrote:
On Saturday, 4 April 2015 at 10:07:16 UTC, Walter Bright wrote:
On 4/4/2015 2:16 AM, John Colvin wrote:
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
http://code.dlang.org/packages/derel
On Saturday, 4 April 2015 at 09:50:09 UTC, Walter Bright wrote:
* the example shown is useless
The problem with example is that someone have to maintain them.
For DerelictBgfx we removed all translated examples.
So the Derelict policy is to remove example to avoid them
becoming out of date.
On Saturday, 4 April 2015 at 10:26:27 UTC, Walter Bright wrote:
On 4/4/2015 3:04 AM, weaselcat wrote:
PR?
Exactly!
The idea is that GPUs can greatly accelerate code (2x to
1000x), and if D wants to appeal to high performance computing
programmers, we need to have a workable way to program t
Also consider costs: NVIDIA will artificially limit the speed of
pinned memory transferts to push you to buy expensive $3000
discrete GPUs. They have segmented the market to make the most of
people performance-starved. It goes to the point that you are
left with $3000 GPUs that are slower than
On Saturday, 4 April 2015 at 10:03:56 UTC, Walter Bright wrote:
On 4/4/2015 2:35 AM, ponce wrote:
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
I wrote the Driver and Runtime API bindings for
https://github.com/DerelictOrg/Dere
On Saturday, 4 April 2015 at 10:07:16 UTC, Walter Bright wrote:
On 4/4/2015 2:16 AM, John Colvin wrote:
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
http://code.dlang.org/packages/derelict-cuda
I know you have interest in CU
On Saturday, 4 April 2015 at 10:26:27 UTC, Walter Bright wrote:
On 4/4/2015 3:04 AM, weaselcat wrote:
PR?
Exactly!
The idea is that GPUs can greatly accelerate code (2x to
1000x), and if D wants to appeal to high performance computing
programmers, we need to have a workable way to program t
On Saturday, 4 April 2015 at 09:50:09 UTC, Walter Bright wrote:
* there are no examples of actually running code on a GPU
I can contribute at least three examples running code on a GPU
(the domains are neural networks, bioinformatics, and grid
traversal -- these are my ports to D/OpenCL of Ro
On 4/04/2015 11:26 p.m., Walter Bright wrote:
On 4/4/2015 3:04 AM, weaselcat wrote:
PR?
Exactly!
The idea is that GPUs can greatly accelerate code (2x to 1000x), and if
D wants to appeal to high performance computing programmers, we need to
have a workable way to program the GPU.
At this poi
On 4/4/2015 3:04 AM, weaselcat wrote:
PR?
Exactly!
The idea is that GPUs can greatly accelerate code (2x to 1000x), and if D wants
to appeal to high performance computing programmers, we need to have a workable
way to program the GPU.
At this point, it doesn't have to be slick or great, bu
On Saturday, 4 April 2015 at 10:03:56 UTC, Walter Bright wrote:
It's slower:
However, it's an open standard, will improve, and will be
available on devices of any vendor interested in implementing the
compiler and the runtime API, which is essentially every vendor
of compute devices (CPU, G
On 4/4/2015 2:16 AM, John Colvin wrote:
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
http://code.dlang.org/packages/derelict-cuda
I know you have interest in CUDA, have you gotten any D code to work with it?
On Saturday, 4 April 2015 at 09:50:09 UTC, Walter Bright wrote:
On 4/4/2015 2:34 AM, weaselcat wrote:
On Saturday, 4 April 2015 at 09:24:07 UTC, Walter Bright wrote:
If the latter is obsolete, it should perhaps be updated to
point to the newer
one. The svn one is the first google hit for Derel
On 4/4/2015 2:35 AM, ponce wrote:
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
I wrote the Driver and Runtime API bindings for
https://github.com/DerelictOrg/DerelictCUDA
And the one thing I've done with them is loading the fu
On 4/4/2015 2:34 AM, weaselcat wrote:
On Saturday, 4 April 2015 at 09:24:07 UTC, Walter Bright wrote:
If the latter is obsolete, it should perhaps be updated to point to the newer
one. The svn one is the first google hit for Derelict.
Top 3 results for me for `dlang derelict` are all his githu
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
I wrote the Driver and Runtime API bindings for
https://github.com/DerelictOrg/DerelictCUDA
And the one thing I've done with them is loading the functions,
create a context and de
On Saturday, 4 April 2015 at 09:24:07 UTC, Walter Bright wrote:
If the latter is obsolete, it should perhaps be updated to
point to the newer one. The svn one is the first google hit for
Derelict.
Top 3 results for me for `dlang derelict` are all his github
page/projects, did you just google
On 4/3/2015 11:12 PM, weaselcat wrote:
On Saturday, 4 April 2015 at 02:59:46 UTC, Rikki Cattermole wrote:
On 4/04/2015 3:49 p.m., Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
Honestly, I don't think anyone has even tried to create bindings. Let alone
use it.
Although
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
http://code.dlang.org/packages/derelict-cuda
The programmer describes the computations to be done on a device,
invokes the clop compiler via mixin expression passing the string
describing the computations in an OpenCL-like syntax. The compiler
returns D code that includes the generated OpenCL kernel and all the
boiler plate code. The computat
On Saturday, 4 April 2015 at 06:36:49 UTC, Dmitri Makarov wrote:
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
No, but I'm building an embedded dsl that will allow to generate
opencl kernels and supporting boilerplate opencl api
On Saturday, 4 April 2015 at 02:49:16 UTC, Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
No, but I'm building an embedded dsl that will allow to generate
opencl kernels and supporting boilerplate opencl api calls at
compile-time. it's called clop (openCL OPtimizer). It us
On Saturday, 4 April 2015 at 02:59:46 UTC, Rikki Cattermole wrote:
On 4/04/2015 3:49 p.m., Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
Honestly, I don't think anyone has even tried to create
bindings. Let alone use it.
Although I think there are OpenCL bindings floa
On 4/04/2015 3:49 p.m., Walter Bright wrote:
http://www.nvidia.com/object/cuda_home_new.html
Honestly, I don't think anyone has even tried to create bindings. Let
alone use it.
Although I think there are OpenCL bindings floating around which has a
similar purpose.
http://www.nvidia.com/object/cuda_home_new.html
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