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  2. Bullet (software) - Wikipedia

    en.wikipedia.org/wiki/Bullet_(software)

    Bullet is a physics engine which simulates collision detection as well as soft and rigid body dynamics.It has been used in video games and for visual effects in movies. Erwin Coumans, its main author, won a Scientific and Technical Academy Award [4] for his work on Bullet.

  3. General-purpose computing on graphics processing units

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

    Thus, GPUs can process far more pictures and graphical data per second than a traditional CPU. Migrating data into graphical form and then using the GPU to scan and analyze it can create a large speedup. GPGPU pipelines were developed at the beginning of the 21st century for graphics processing (e.g. for better shaders).

  4. PhysX - Wikipedia

    en.wikipedia.org/wiki/PhysX

    The article suggested that a PhysX rewrite using SSE instructions may substantially lessen the performance discrepancy between CPU PhysX and GPU PhysX. In response to the Real World Technologies analysis, Mike Skolones, product manager of PhysX, said [ 32 ] that SSE support had been left behind because most games are developed for consoles ...

  5. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  6. Multidimensional DSP with GPU acceleration - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_DSP_with...

    The following figure illustrates the execution flow of launching an OpenCL program on a GPU device. The CPU first detects OpenCL devices (GPU in this case) and then invokes a just-in-time compiler to translate the OpenCL source code into target binary. CPU then sends data to GPU to perform computations.

  7. Thread-local storage - Wikipedia

    en.wikipedia.org/wiki/Thread-local_storage

    In computer programming, thread-local storage (TLS) is a memory management method that uses static or global memory local to a thread. The concept allows storage of data that appears to be global in a system with separate threads. Many systems impose restrictions on the size of the thread-local memory block, in fact often rather tight limits.

  8. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.

  9. Lustre (file system) - Wikipedia

    en.wikipedia.org/wiki/Lustre_(file_system)

    For applications using the NVIDIA GPU Direct Storage interface (GDS), the Lustre client can do zero-copy RDMA read and write from the storage server directly into the GPU memory to avoid an extra data copy from CPU memory and extra processing overhead. [80]