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  2. Mesa (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Mesa_(computer_graphics)

    Mesa Software Driver VIRGL starts Vulkan Development in 2018 with GSOC projects for support of Virtual machines. [108] Lavapipe is a CPU-based Software Vulkan driver and the brother of LLVMpipe. Mesa Version 21.1 supports Vulkan 1.1+. [109] Google introduces Venus Vulkan Driver for virtual machines in Mesa 21.1 with full support for Vulkan 1.2 ...

  3. Thread block (CUDA programming) - Wikipedia

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

    Several warps constitute a thread block. Several thread blocks are assigned to a Streaming Multiprocessor (SM). Several SM constitute the whole GPU unit (which executes the whole Kernel Grid). [citation needed] A pictorial correlation of a programmer's perspective versus a hardware perspective of a thread block in GPU [7]

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [5] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

  5. Intel Advisor - Wikipedia

    en.wikipedia.org/wiki/Intel_Advisor

    Intel Advisor (also known as "Advisor XE", "Vectorization Advisor" or "Threading Advisor") is a design assistance and analysis tool for SIMD vectorization, threading, memory use, and GPU offload optimization. The tool supports C, C++, Data Parallel C++ (DPC++), Fortran and Python languages.

  6. Kepler (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Kepler_(microarchitecture)

    [2] [3] The efficiency aim was achieved through the use of a unified GPU clock, simplified static scheduling of instruction and higher emphasis on performance per watt. [4] By abandoning the shader clock found in their previous GPU designs, efficiency is increased, even though it requires additional cores to achieve higher levels of performance.

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    Implementations of: the GPU Tabu Search algorithm solving the Resource Constrained Project Scheduling problem is freely available on GitHub; [71] the GPU algorithm solving the Nurse scheduling problem is freely available on GitHub. [72] Neural networks; Database operations [73] Computational Fluid Dynamics especially using Lattice Boltzmann methods

  8. GeForce 600 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_600_series

    With software scheduling, warps scheduling was moved to Nvidia's compiler and as the GPU math pipeline now has a fixed latency, it now include the utilization of instruction-level parallelism and superscalar execution in addition to thread-level parallelism. As instructions are statically scheduled, scheduling inside a warp becomes redundant ...

  9. Fermi (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Fermi_(microarchitecture)

    Fermi is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia, first released to retail in April 2010, as the successor to the Tesla microarchitecture. It was the primary microarchitecture used in the GeForce 400 series and 500 series .