GPGPU

GPGPU stands for General-Purpose Computing on Graphics Processing Units. It refers to the use of a GPU (Graphics Processing Unit) to perform computation that is typically handled by a CPU (Central Processing Unit). The primary advantage of GPGPU is that GPUs are designed to handle parallel processing very efficiently, making them particularly well-suited for tasks that can be divided into many smaller, simultaneous operations.

Table of contents 2k 33
- GPGPU libraries GPGPU 66
- GPGPU supercomputers GPGPU 57
- AMD FireStream GPGPU 61
- AMD Instinct GPGPU 64
- Acceleware GPGPU 75
- Advanced Simulation Library GPGPU 78
- ArrayFire GPGPU 43
- BrookGPU GPGPU 78
- CUDA GPGPU 67
- Celsius (microarchitecture) GPGPU 56
- Codeplay GPGPU 48
- Compute kernel GPGPU 56
- Curie (microarchitecture) GPGPU 48
- GPU cluster GPGPU 55
- General-purpose computing on graphics processing units GPGPU 52
- Graphics Core Next GPGPU 56
- Graphics processing unit GPGPU 55
- IWOCL GPGPU 78
- Intel Xe GPGPU 42
- Lib Sh GPGPU 72
- Molecular modeling on GPUs GPGPU 54
- Nvidia DGX GPGPU 78
- Nvidia Tesla GPGPU 59
- OpenCL GPGPU 62
- RCUDA GPGPU 62
- ROCm GPGPU 48
- Radeon HD 8000 series GPGPU 56
- Rankine (microarchitecture) GPGPU 66
- RapidMind GPGPU 61
- SYCL GPGPU 49
- Single instruction, multiple threads GPGPU 72
- TeraScale (microarchitecture) GPGPU 75
- Tesla (microarchitecture) GPGPU 64

GPGPU

 Ancestors (5)