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  2. Shared graphics memory - Wikipedia

    en.wikipedia.org/wiki/Shared_graphics_memory

    Graphics display was facilitated by the use of an expansion card with its own memory plugged into an ISA slot. The first IBM PC to use the SMA was the IBM PCjr, released in 1984. Video memory was shared with the first 128 KiB of RAM. The exact size of the video memory could be reconfigured by software to meet the needs of the current program.

  3. GPU switching - Wikipedia

    en.wikipedia.org/wiki/GPU_switching

    This kind of graphics processors usually have much fewer processing units and share the same memory with the CPU. Intel Core i5 processor with integrated HD Graphics 2000. Sometimes the graphics processors are integrated onto a motherboard. It is commonly known as: on-board graphics.

  4. Thread block (CUDA programming) - Wikipedia

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

    Whenever an SM executes a thread block, all the threads inside the thread block are executed at the same time. Hence to free a memory of a thread block inside the SM, it is critical that the entire set of threads in the block have concluded execution. Each thread block is divided in scheduled units known as a warp.

  5. Single instruction, multiple threads - Wikipedia

    en.wikipedia.org/wiki/Single_instruction...

    SIMT is intended to limit instruction fetching overhead, [4] i.e. the latency that comes with memory access, and is used in modern GPUs (such as those of Nvidia and AMD) in combination with 'latency hiding' to enable high-performance execution despite considerable latency in memory-access operations. This is where the processor is ...

  6. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platfor m ; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.

  7. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    GPU virtualization reduces the number of GPUs needed in a cluster, and in turn, leads to a lower cost configuration – less energy, acquisition, and maintenance. The recommended distributed acceleration architecture is a high performance computing cluster with GPUs attached to only a few of the cluster nodes.

  8. GPU virtualization - Wikipedia

    en.wikipedia.org/wiki/GPU_virtualization

    GPU virtualization refers to technologies that allow the use of a GPU to accelerate graphics or GPGPU applications running on a virtual machine. GPU virtualization is used in various applications such as desktop virtualization , [ 1 ] cloud gaming [ 2 ] and computational science (e.g. hydrodynamics simulations).

  9. Video random-access memory - Wikipedia

    en.wikipedia.org/wiki/Video_random-access_memory

    GDDR5X SDRAM on an NVIDIA GeForce GTX 1080 Ti graphics card. Video random-access memory (VRAM) is dedicated computer memory used to store the pixels and other graphics data as a framebuffer to be rendered on a computer monitor. [1] It often uses a different technology than other computer memory, in order to be read quickly for display on a screen.