amd app sdk installer download Where to get OpenCL SDK? I just wanted to start learning OpenCL and decided to download OpenCL SDK. But no way. I have an AMD GPU so I searched on Google for AMD SDK but all the links from google and some tutorials are broken and there is no possibility to find the sdk through AMD developpers site. Well I tried then Intel OpenCL SDK . but there is no direct link. I tried to register and apply for the sdk but I don't see any download links in my mail box :( Is it that difficult to get hands on OpenCL SDKs? Something I am missing? Thanks for your help. UPDATE: Finally as for OpenGL SDK is only needed for headers and libs. And tools . Looks like the SDK is deprecated and we should just use OpenCL SDK Lite that only contains headers and library files: https://github.com/GPUOpen-LibrariesAndSDKs/OCL-SDK/releases Pretty disappointing. There are still tools related to ROCm for linux but not much for Windows. CodeXL should work on windows thow. For Intel SDK I finally received a confirmation mail and could download it. It took a couple of days. AMD APP OpenCL SDK on Intel. 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? 3 Answers 3. 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. Tools & SDKs. AMD Optimizing C/C++ Compiler — The AOCC compiler system is a high performance, production quality code generation tool. The AOCC environment provides the developer the essential choices when building and optimizing C, C++, and Fortran applications targeting 32-bit and 64- bit Linux® platforms. AMD μProf —AMD μProf is a suite of powerful tools that help developers optimize software for performance or power. AMD μProf ’s CPU profiler helps to identify and analyze performance hotspots within an application, library, driver or kernel module. It’s Power profiler provides valuable information on energy characteristics of the application or process, library, kernel module running on CPU, APU or discrete-GPU. Spack — Spack is an open source project that offers a package management framework and tool for installing complex scientific software. AMD supports the AMD Optimized CPU Compilers and Libraries (AOCC and AOCL ) with Spack packages. AMD also supports Spack packages for commonly used HPC benchmarks and a growing catalogue of scientific, open-source applications with recommended command-line directives using AOCC and AOCL. SimNow™ Simulator — SimNow™ Simulator is an AMD64 technology-compatible x86 platform simulator for AMD’s family of processors. It is designed to provide an accurate model of a computer system from the program, OS, and programmer’s point of view. SimNow requires AMD Athlon™ 64 or Opteron™. AMD Open64 SDK — A set of tools, libraries, documentation and headers that developers can use to create high performing applications that run on Linux® operating systems. x86 Open64 Compiler System — A high performance, production quality code generation tool designed for high performance parallel computing workloads. Tools for DMTF DASH — DASH (Desktop and mobile Architecture for System Hardware) is a client management standard released by the DMTF (Distributed Management Task Force). DASH is a web services based standard for secure out-of-band and remote management of desktops and mobile systems. Client systems that support out-of-band management help IT administrators perform tasks independent of the power state of the machine or the state of the operating system. AMD Ryzen™ Master Monitoring SDK — The AMD Ryzen TM Master Monitoring SDK is a public distribution that allows software developers to add processor and memory functions to their own utility in conjunction with AMD AM4 Ryzen TM processor products. This SDK is the gold standard for reliable and relevant AMD Ryzen TM processor metrics. 2nd gen EPYC I/O Power Management Utility – Utility for systems based on 2nd generation EPYC processors to disable I/O power management. EPYC TM system management software (E-SMS)—EPYC™ system management software (E-SMS) stack comprises of kernel modules, user space libraries and tools to manage power, performance aspects via In-band and Out-of-band of the EPYC™ line of server CPUs from AMD. Libraries. AMD Optimizing CPU Libraries (AOCL) — AOCL are a set of numerical libraries tuned specifically for AMD EPYC™ processor family. They have simple interfaces to take advantage of latest hardware innovations. The tuned implementations of industry standard math libraries enable fast development of scientific and high-performance computing projects. ZenDNN (Zen Deep Neural Network) – ZenDNN (Zen Deep Neural Network) Library accelerates deep learning inference applications on AMD CPUs. This library, which includes APIs for basic neural network building blocks optimized for AMD CPUs, targets deep learning application and framework developers with the goal of improving inference performance on AMD CPUs. AMD Technologies. AMD Secure Encrypted Virtualization (SEV) — AMD Secure Encrypted Virtualization is a technology that allows cryptographic isolation of virtual machines and the hypervisor. Archives Discussions. I wanted to get into OpenCl, but i have trouble installing the SDK on my PC. As soon as I run the Installer downloaded from AMD, it says goodbye with an unhandled exception and a crash (see screenshot). I have already tried re-downloading and restarting pc. Checksum is OK. The 2.9.1 version of the APP SDK installs fine, but does not find my graphics card. I'm using win10 pro 64 bit. Any ideas? All topics Previous Next. Mark as New Bookmark Subscribe Email to a Friend. Thanks for reporting the issue. The SDK installer supports Windows 10. So, I don't see any particular reason not to work on your setup. Could you please share more information (also about your setup) so that we can trace the issue? The 2.9.1 version of the APP SDK installs fine, but does not find my graphics card. In order to access the graphics card, you need to install compatible graphics driver for your card. You can download the required driver from here: Download Drivers. APP SDK only contains CPU runtime. So, after installing the SDK, you can access you CPU device only but not the GPU device unless compatible gpu driver is there.