Is there any hardware supporting openCL 2.0? If yes then please tell me company of the hardware,name of the product and if possible specification of that hardware). Thanks in Advance.
As of a few days now, Intel's HD Graphics 5300 in the new Core M processors do support OpenCL 2.0. They also have a CPU driver for all Intel processors, what I believe should also run on AMD processors.
No desktop versions of these processors are available yet, Acer, ASUS, Dell, HP, and Lenovo announced laptops and tablets based on them.
Intel SDK for OpenCL
Specifications of Intel Core M processors
(update October 2014)
We now have conformant OpenCL 2.0 implementations available from both Intel and AMD. The Khronos conformant OpenCL products page shows that AMD has quite a few GPUs that can run OpenCL 2.0. It's not clear exactly which devices Intel support OpenCL 2.0 on at the moment, although their Core M processors are explicitly called out on their OpenCL page.
(original answer May 2014)
At present, there are no conformant implementations of OpenCL 2.0 available.
In terms of hardware support, AMD have stated that some of their latest GPUs have the capabilities for OpenCL 2.0, and I would expect that most (if not all) modern CPUs have too (Xeon Phi likely does as well). NVIDIA's latest GPUs are probably also compliant, since they have CUDA equivalents of nested parallelism and SVM.
So, we are just waiting for the actual implementations (i.e. drivers) to appear. At IWOCL'14 last week it was mentioned that the conformance package for OpenCL 2.0 was only just finalised recently, so we can expect to see these implementations start to appear in the coming months.
In the meantime, AMD have preliminary support for some OpenCL 2.0 already available in their latest beta driver.
Related
I want to use OpenCL 2.0 because it benefit from very nice features like Creating Sub Devices, or Shared Virtual Memory but my OpenCL header files which are coming out with nvidia cuda does not have the opencl 2.0 functions. Is there any way to use OpenCL 2.0 on my nvidia gpus?
In the 378.66 drivers NVIDIA claims limited support of OpenCL 2.0 for evaluation purposes. Look at page 10 of release notes http://us.download.nvidia.com/Windows/378.66/378.66-win10-win8-win7-desktop-release-notes.pdf
Unfortunately not - NVIDIA does not currently support OpenCL 2.0, and they have not yet given any timeframe for doing so.
What is the difference between Intel, AMD and Khronos OpenCLs. I am totally new to OpenCL and want to start with it. I don't know which one is better to install on my operating system.
OpenCL is an "extension" to C and C++ languages that enables parallelization of software on your compute devices: CPU, GPU, etc.
OpenCL is defined by a standard (created by Khronos Group) and implemented by hardware vendors Intel, AMD, nVidia, etc.. So each OpenCL implementation requires a vendor specific OpenCL driver that will enable the usage of the vendor's hardware.
So to conclude, if you have an Intel based system, use the Intel OpenCL because only so you would be able to use all compute devices in your machine. The same goes if you have an AMD system. Also, take note that there is no Khronos OpenCL implementation.
Of course you can have a platform with OpenCL enabled devices from multiple vendors (e.g. Intel CPU+GPU and nVidia discrete card). In this case the OpenCL runtime contains a generic layer (a dynamic loaded library). This layer is an interface which calls the implementations provided in each device driver depending on the selected OpenCL platform.
OpenCL is a standard defined by Kronos. They distribute header files that you have to give to your compiler. They do not distribute binaries to link against. For that, you must get an ICD (Installable Client Driver), on Windows this is in the form of a DLL file. You will get it from installing one or more of...
Nvidia drivers (if you have an Nvidia GPU)
AMD drivers (if you have an AMD GPU or an AMD CPU)
Intel Drivers (if you have an Intel CPU, also some Intel CPU's have built in GPU's).
Do not worry about compiling against one vendor and it not working on another, OpenCL has been carefully designed to work around this. Compile against any version you have, it will work with any other version that is the same or newer, regardless of who made it.
Be Aware, the AMD OpenCL driver will operate as an OpenCL driver for Intel CPU's. If, for example, you have an AMD GPU and an Intel CPU, and have installed the Intel OpenCL driver and the AMD OpenCL driver, the AMD driver will report that it can provide both a GPU device and a CPU device (your CPU), and the Intel driver will report having a CPU device (also your CPU) and most likely also a GPU device (the GPU that is on the Intel CPU die, for example on an i7-3770, this will be a HD4000). If you blindly ask OpenCL for "All CPU's available" you will get the AMD drivers and the Intel drivers offering you the same CPU. Your code will not run very well in this case.
On Windows it is expected that you will download the header files yourself, and then either create a library from the DLL (MSVC), or link directly against the DLL (Mingw & Clang default behavior).
On Linux, you package manager will likely have a library to link against, consult your distributions documentation regarding this. On Ubuntu and Debian this command will work...
sudo apt-get install ocl-icd-opencl-dev
On Mac, there is nothing to install, and trying to install something will likely damage your system. Just install Xcode, and use the framework "OpenCL".
There are other platforms, for example Android. Some FPGA vendors offer OpenCL libraries. Consult your vendors documentation.
Khronos defines OpenCL standard. Each vendor/ open source will implement that standards.
Khronos defines set of conformance tests which need to pass if a vendor claims that his opencl implementation is as per standard.
There is a feature in OpenCL 2.0 that I would like to use.
I dual boot Ubuntu and Mac OS (Graphics: GTX 670 + HD Graphics 4600). Is it possible to install OpenCL 2.0?
This may be a dumb question - from what I have read, it seems like 2.0-compatible drivers may not be written yet? And also possibly my hardware will not support the new spec?
Basically, when will OpenCL 2.0 be easy/available?
You mentioned you have an NVidia GTX 670; you should note that NVidia's drivers only support OpenCL 1.1, not 1.2.
NVidia have(*) refrained over the past several years from updating their drivers to support the newer OpenCL standard, even though the hardware obviously supports it and CUDA has all the relevant functionality... so don't expect 2.0 to happen so soon on your hardware.
(*) - Due to being Evil™.
There are no OpenCL 2.0 drivers yet. The specification just became final yesterday. I don't believe any public statements have been made yet about when drivers will become available, and for what hardware. You'll have to wait for whatever fun new feature you wanted. Better yet, let your favorite vendors know that you'd like them to support OpenCL 2.0!
There is some support for OpenCL in Clang 3.0 and from the LLVM organisation.
See the CLang 3.0 release notes
http://llvm.org/releases/3.0/docs/ClangReleaseNotes.html
Here's an LLVM presentation on OpenCL
http://llvm.org/devmtg/2009-10/OpenCLWithLLVM.pdf
Here's another Stackoveflow answer on Clang 3.0 for OpenCL
How to use clang to compile OpenCL to ptx code?
So there are some good folks working on an open source version of OpenCL that compiles to PTX for NVida cards. Not having used it and not being familiar with these efforts, I can't say if there are plans or when when they can get to the OpenCL 2.0 spec.
If I write a desktop application that requires OpenGL and OpenCL (and communication between the two--rendering based on opencl calculations), what are the situations where users will not be able to use it? Are we at the point where OpenCL is pretty much available on all desktops and laptops in the last 3 years?
All recent discrete GPUs support OpenCL, as do AMD APUs and CPUs. All Intel CPUs can be supported using the AMD APP SDK. Intel's OpenCL SDK has some limits on which CPUs and which Intel GPUs it supports. Therefore, your application will always be able to fall back to using the CPU if no supported GPUs are available. I have yet to meet a desktop without OpenGL. If everything is installed properly then you shouldn't have any problems.
Your biggest problems will come from driver bugs in both OpenCL and OpenGL implementations - my friends and I have seen a lot of this over the years.
I have seen that AMD APP SDK samples work on a machine having only Intel CPU.
How can this happen? How does the compiler target a different machine architecture?
Do I not need Intel's set of compilers for running the code on the intel CPU?
I think if we have to run an OpenCL application on a specific hardware, I have to (re)compile it using device's vendor specifics compiler.
Where is my understanding wrong?
Firstly, OpenCL is built to work on CPU's and GPU's. You can compile and run the same source code on either type of device. However, its very likely that CPU code will be sub-optimal for a GPU and vice-versa.
AMD H/W is 7% - 14% of total x86/x64 CPU's. So AMD must develop compilers for both AMD and Intel chips to be relevant. AMD have history developing compilers for both sets of chips. Conversely, Intel have developed compilers that either don't work on AMD chips or don't work that well. That's no surprise.
With OpenCL, the AMD APP SDK is the most flexible it will work well on AMD and Intel CPU's and AMD GPUs. Intel's OpenCL SDK doesn't even install on AMD x86 H/W.
If you compile an OpenCL program to binary, you can save and reuse it as long as it matches the OpenCL Platform and Device that created it. So, if you compile for one device and use on another you are very likely to get an error.
The power of OpenCL is abstracting the underlaying hardware and offer massive, parallel and heterogeneous computing power.
Some SDKs and platforms offers some specific features to "optimize" the code, i honestly think that such features are just marketing and they introduce boilerplate code making the application less portable.
There are also some pseudo-new technologies that are just wrappers to OpenCL or they are really similar in the concept like the Intel quick sync.
About Intel i should say that at the first place they were supporting all the iCore generation and even some C2D, now the new SDK only support the 3rd iCore generation, i don't get their strategy honestly, probably Intel is the last option if you want to adopt OpenCL and targeting the biggest possible audience, also their SDK doesn't seems to be really good at all .
Stick with the standard and you will avoid both possible legal and performance issues and your code will also be more portable.
The bottom line is that the AMD SDK includes a compiler for targeting x86 CPUs for OpenCL. That means that even though you are running an Intel CPU the generated code will run on it. It's the same concept as compiling a C program to run on an x86 CPU: it works on Intel and AMD CPUs (or any that implement the x86 instruction set).
The vendor's compiler might have specific optimizations, like user827992 mentions, but in my experience the performance of AMD's CPU compiler isn't that bad when running on an Intel CPU. I haven't tried Intel's OpenCL implementation.
It is true that for some (maybe most in the future) hardware, only the vendor's compiler will support it. AMD's SDK won't build code that will run on an NVIDIA card, and vice-versa. CPUs happen to be a bit of a special case in that the basic instruction set is so widely deployed that the CPU compiler will work on most machines you're likely to come in contact with.