Please support my work on Patreon by adopting a pet Neanderthal function in your name! I'll intive you to a dedicated Discord discussion server. Can't afford to donate? Ask for a free invite. Parallel computations with OpenCL 2.0 in Clojure High Performance Computing and GPGPU in Clojure: access the supercomputer on your desktop Slides and video of the presentation at EuroClojure 2016 Please suppo
Welcome to PyOpenCL’s documentation!¶ PyOpenCL gives you easy, Pythonic access to the OpenCL parallel computation API. What makes PyOpenCL special? Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. Every obscure
"Used by 10,000s of developers, ArrayFire is easy-to-use and blazingly fast." ArrayFire supports hundreds of accelerated tensor computing functions, in the following areas: Array handling Computer vision Image processing Linear algebra Machine learning Standard math Signal Processing Statistics Vector algorithms Data structures in ArrayFire are smartly managed to avoid costly memory transfers and
Our Services and ProductsWe are a software house that writes extremely fast code for the world's most demanding companies. Software Development – From architecture to delivery, making fast softwareDevelop Fast SoftwareMaking the release version of prototype codeMaking CUDA-code work on AMD hardware (HIP)Porting CUDA to OpenCLTraining – From crash-course to full in-house trainings1-day Crash Course
IWOCL 2025 marks the 13th anniversary of the annual gathering of the international community of OpenCL and SYCL developers, researchers, implementers, scientists and Khronos Working Group members to share best practice, and to advance the use and evolution of these Khronos open compute languages for programming heterogeneous platforms. This pioneering workshop has been attracting an international
I will start my blog series with a subseries on technology that I know and come to love best - OpenCL from the Khronos Group. OpenCL aims to provide functional portability across computer systems comprised of general-purpose processors (e.g. CPUs) and special-purpose accelerators (e.g. GPUs), to which I will now and then refer to as accelerated systems. OpenCL is often criticised for presenting a
ViennaCL is a free open-source linear algebra library for computations on many-core architectures (GPUs, MIC) and multi-core CPUs. The library is written in C++ and supports CUDA, OpenCL, and OpenMP (including switches at runtime). The highlights of the latest 1.7.x release family are: Fast sparse matrix-matrix multiplications, outperforming CUBLAS and MKL.Fine-grained parallel algebraic multigrid
Beignet Beignet is an open source implementation of the OpenCL specification - a generic compute oriented API. This code base contains the code to run OpenCL programs on Intel GPUs which basically defines and implements the OpenCL host functions required to initialize the device, create the command queues, the kernels and the programs and run them on the GPU. The code base also contains the compil
node-webclを入れると出来る Unix系なOSだと割と楽にインストールできる Linux、OSXはnpm install node-webclで行けるかも 手元のMarvericksなMacBook Proでは /usr/local/includeや/usr/local/lib配下をコンパイルやリンク時に見てくれないので、 CXXFLAGS=-I/usr/local/include LDFLAGS=-L/usr/local/lib npm install node-webcl で、npm付属ではなく、最新のnode-gypでビルドしないと駄目。 node-webclが依存するDLL等の用意 node-webclのReadMe.mdの通り、依存するライブラリを準備しておく。 GLFWは2.7系を入れると良い気がする。 64ビット node-webclのdevice.ccで動的に配列を
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