Statements (245)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:user_interface
gptkb:servers gptkb:software_framework |
| gptkbp:allows |
parallel processing
memory management kernel execution parallel execution of threads |
| gptkbp:api |
gptkb:user_interface
|
| gptkbp:can_be_used_for |
gptkb:simulation
data analysis financial modeling real-time rendering |
| gptkbp:competes_with |
gptkb:Open_CL
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:enables |
GPU acceleration
high-performance computing real-time rendering accelerated computing GPU computing |
| gptkbp:enhances |
performance of applications
|
| gptkbp:facilitates |
data parallelism
|
| gptkbp:first_released |
gptkb:2006
|
| gptkbp:has |
gptkb:CUDA_Fortran
community support parallel threads CUDA cores memory management features CUDA C CUDA libraries parallel execution model GPU-accelerated libraries CUDA Python proprietary standard CUDA C++ CUDA R CUDA C, CUDA C++, CUDA Fortran |
| gptkbp:has_features |
kernel execution
memory hierarchy streaming multiprocessors thread hierarchy |
| https://www.w3.org/2000/01/rdf-schema#label |
CUDA
|
| gptkbp:includes |
gptkb:CUDA_Driver
gptkb:CUDA_Runtime gptkb:CUDA_Toolkit CUDA Libraries CUDA Driver API CUDA Runtime API |
| gptkbp:is |
cross-platform
widely adopted open standard used in medical imaging used in gaming used in robotics used in cloud computing used in scientific computing used in supercomputers used in gaming consoles used in bioinformatics used in data mining used in image processing used in machine vision used in natural language processing used in neural networks used in seismic analysis used in simulations used in research institutions used in universities open to developers used in data centers used in augmented reality used in virtual reality used in big data analytics used in edge computing used in computational fluid dynamics used in smart cities used in autonomous vehicles used in weather modeling used in signal processing used in graphics rendering used in speech recognition used in Io T applications used in video encoding widely used in deep learning used in autonomous drones used in deep reinforcement learning used in facial recognition used in generative adversarial networks used in high-performance clusters used in image recognition used in industry applications used in inference tasks used in training models used in video encoding/decoding |
| gptkbp:is_compatible_with |
gptkb:NVIDIA_GPUs
|
| gptkbp:is_documented_in |
CUDA Programming Guide
CUDA C Best Practices Guide CUDA Toolkit Documentation |
| gptkbp:is_integrated_with |
gptkb:Tensor_Flow
gptkb:Houdini gptkb:MATLAB gptkb:Unreal_Engine gptkb:Unity gptkb:Open_CV gptkb:Py_Torch gptkb:Blender |
| gptkbp:is_optimized_for |
parallel algorithms
NVIDIA hardware |
| gptkbp:is_part_of |
NVIDIA ecosystem
NVIDIA software stack NVIDIA Developer Program NVIDIA developer tools NVIDIA GPU architecture |
| gptkbp:is_related_to |
gptkb:Tensor_Flow
gptkb:NVIDIA_Nsight gptkb:Direct_Compute gptkb:cu_BLAS gptkb:cu_DNN gptkb:cu_FFT gptkb:Open_ACC gptkb:Py_Torch gptkb:Open_CL Thrust |
| gptkbp:is_supported_by |
gptkb:Linux
gptkb:mac_OS gptkb:Windows community forums third-party libraries NVIDIA documentation |
| gptkbp:is_used_by |
gptkb:NVIDIA_RTX
gptkb:Tensor_Flow gptkb:Adobe_Premiere_Pro gptkb:NVIDIA_Ge_Force gptkb:NVIDIA_Phys_X gptkb:NVIDIA_DALI gptkb:developers gptkb:game_developers gptkb:MATLAB gptkb:NVIDIA_Deep_Stream gptkb:NVIDIA_Tensor_RT gptkb:NVIDIA_cu_DNN gptkb:ANSYS gptkb:Autodesk_Maya gptkb:NVIDIA_Nsight gptkb:NVIDIA_Game_Works gptkb:NVIDIA_RAPIDS gptkb:NVIDIA_Tesla gptkb:NVIDIA_Thrust gptkb:NVIDIA_cu_BLAS gptkb:NVIDIA_cu_FFT gptkb:Py_Torch gptkb:NVIDIA_A100 gptkb:NVIDIA_Clara gptkb:NVIDIA_Jetson gptkb:NVIDIA_K80 gptkb:NVIDIA_Omniverse gptkb:NVIDIA_P100 gptkb:NVIDIA_T4 gptkb:NVIDIA_V100 gptkb:COMSOL_Multiphysics gptkb:NVIDIA_Quadro gptkb:Blender universities data scientists research institutions software companies NVIDIA SDKs NVIDIA Opti X NVIDIA AI frameworks |
| gptkbp:is_used_for |
gptkb:crypt
gptkb:simulation data analysis computer vision financial modeling natural language processing rendering bioinformatics |
| gptkbp:is_used_in |
gptkb:crypt
gptkb:Artificial_Intelligence gptkb:Graphics_Processing_Unit gptkb:machine_learning gptkb:simulation gptkb:robotics image processing data analysis computer vision deep learning financial modeling scientific computing bioinformatics computational fluid dynamics signal processing numerical simulations real-time rendering video encoding physics simulations machine vision |
| gptkbp:language |
C-based
|
| gptkbp:latest_version |
11.0
|
| gptkbp:platform |
gptkb:NVIDIA_GPUs
|
| gptkbp:provides |
gptkb:API
API for developers GPU acceleration debugging tools parallel execution memory management CUDA C API kernel execution profiling tools thread management performance optimization tools parallel execution model API for C/ C++ API for GPU programming CUDA Fortran API streaming multiprocessors API for C, C++, Fortran |
| gptkbp:released |
gptkb:2006
|
| gptkbp:released_in |
gptkb:2006
|
| gptkbp:supports |
gptkb:C_programming_language
gptkb:C gptkb:C++ gptkb:Fortran gptkb:Python gptkb:Tensor_Cores gptkb:Open_ACC gptkb:Open_CL C++ programming language parallel computing shared memory streaming Unified Memory C, C++, Fortran multi-threading Fortran programming language Multi-GPU configurations Open CL interoperability |
| gptkbp:used_for |
GPU computing
general purpose computing on GPUs |
| gptkbp:used_in |
gptkb:machine_learning
image processing deep learning scientific computing video processing |
| gptkbp:bfsParent |
gptkb:user_interface
|
| gptkbp:bfsLayer |
3
|