Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
gptkb:Web |
| gptkbp:aims_to |
improve data analytics
enhance machine learning accelerate scientific computing |
| gptkbp:designed_for |
high-performance computing
|
| gptkbp:developed_by |
gptkb:AMD
|
| gptkbp:enables |
deep learning frameworks
|
| gptkbp:features |
gptkb:Performance_Monitoring
|
| gptkbp:has |
community support
|
| gptkbp:has_version |
gptkb:2.0
gptkb:3.0 1.0 5.0 4.0 |
| https://www.w3.org/2000/01/rdf-schema#label |
ROCm
|
| gptkbp:includes |
gptkb:HIP
|
| gptkbp:integrates_with |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:is |
cross-platform
flexible open-source scalable modular used in computational chemistry performance-oriented used in financial modeling used in robotics used in cloud computing used in bioinformatics used in machine vision used in simulations used in research institutions used in universities used in high-performance applications used in data centers used in edge computing used in smart cities used in autonomous vehicles used in gaming development used in Io T applications used in AI research used in rendering GPU-accelerated part of AMD's software ecosystem designed for AMD GPUs |
| gptkbp:is_compatible_with |
gptkb:AMD_GPUs
gptkb:Linux |
| gptkbp:offers |
multi-GPU support
|
| gptkbp:provides |
open-source tools
GPU drivers tools for developers libraries for machine learning libraries for FFT libraries for linear algebra libraries for random number generation |
| gptkbp:released |
gptkb:2016
|
| gptkbp:supports |
gptkb:C++
gptkb:Python gptkb:CUDA gptkb:Open_MP gptkb:Open_CL gptkb:HIP GPU computing |
| gptkbp:used_for |
GPU computing
|
| gptkbp:utilizes |
Heterogeneous Computing
|
| gptkbp:bfsParent |
gptkb:Roc_SPARSE
gptkb:AMD_Radeon_Instinct_MI25 |
| gptkbp:bfsLayer |
6
|