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CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI.
MDT (Microstructure Diffusion Toolbox): MRI analysis in Python and OpenCL [93] MOT (Multi-threaded Optimization Toolbox): OpenCL accelerated non-linear optimization and MCMC sampling [94] OCCA; Octopus [95] OpenMM: Part of Omnia Suite, biomolecular simulations [96] [97] PARALUTION [98] pyFAI, [99] Fast Azimuthal Integration in Python
WebGPU enables 3D graphics within an HTML canvas.It also has robust support for general-purpose GPU computations. [3]WebGPU uses its own shading language called WGSL that was designed to be trivially translatable to SPIR-V, until complaints caused redirection into a more traditional design, similar to other shading languages.
CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms, NVIDIA Video Decoder was deprecated in CUDA 9.2; it is now available in NVIDIA Video Codec SDK; CUDA 10 comes with these other components: nvJPEG – Hybrid (CPU and GPU) JPEG processing; CUDA 11.0–11.8 comes with these other components: [19 ...
WebGL 2.0 is supported on Android as of Chrome 114. [44] Chrome is used for the Android system webview as of Android 5. [44] BlackBerry 10 – WebGL 1.0 is available for BlackBerry devices since OS version 10.00 [45] BlackBerry PlayBook – WebGL 1.0 is available via WebWorks and browser in PlayBook OS 2.00 [46]
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
Available now, version 2.2.26 GPU-HMMER: Parallelized local and global search with profile hidden Markov models: Parallel local and global search of hidden Markov models: 60–100x: T 2075, 2090, K10, K20, K20X: Yes: Available now, version 2.3.2 mCUDA-MEME: Ultrafast scalable motif discovery algorithm based on MEME: Scalable motif discovery ...
OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.