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  2. Thread block (CUDA programming) - Wikipedia

    en.wikipedia.org/wiki/Thread_block_(CUDA...

    CUDA is a parallel computing platform and programming model that higher level languages can use to exploit parallelism. In CUDA, the kernel is executed with the aid of threads. The thread is an abstract entity that represents the execution of the kernel. A kernel is a function that compiles to run on a special device. Multi threaded ...

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    C++ run-time type information (RTTI) and C++-style exception handling are only supported in host code, not in device code. In single-precision on first generation CUDA compute capability 1.x devices, denormal numbers are unsupported and are instead flushed to zero, and the precision of both the division and square root operations are slightly ...

  4. Input–output memory management unit - Wikipedia

    en.wikipedia.org/wiki/Input–output_memory...

    The memory protection is based on the fact that OS running on the CPU (see figure) exclusively controls both the MMU and the IOMMU. The devices are physically unable to circumvent or corrupt configured memory management tables. In virtualization, guest operating systems can use hardware that is not specifically made for virtualization. Higher ...

  5. Did AMD Just Say "Checkmate" to Nvidia? - AOL

    www.aol.com/finance/did-amd-just-checkmate...

    For Nvidia, the answer resides in its compute unified device architecture (CUDA), a software platform that layers on top of its GPUs. Although the company's chips can technically run on other ...

  6. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    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.

  7. After DeepSeek, It Seems Apple May Have Had the Best AI ... - AOL

    www.aol.com/deepseek-seems-apple-may-had...

    By using open-source software that can run on non-Nvidia chips for the base model, including Apple's own proprietary data center chips, then using proprietary algorithms at the filtering and ...

  8. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface , it allows the allocation of one or more CUDA-enabled GPUs to a single application. Each GPU can be part of a cluster or running inside of a virtual machine. The ...

  9. Hidden-surface determination - Wikipedia

    en.wikipedia.org/wiki/Hidden-surface_determination

    In 3D computer graphics, hidden-surface determination (also known as shown-surface determination, hidden-surface removal (HSR), occlusion culling (OC) or visible-surface determination (VSD)) is the process of identifying what surfaces and parts of surfaces can be seen from a particular viewing angle.