RAFT
E890465
RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RAFT canonical | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
GPU-accelerated library
ⓘ
NVIDIA RAPIDS library ⓘ open-source software library ⓘ |
| developer | NVIDIA NERFINISHED ⓘ |
| domain |
data science
ⓘ
high-performance computing ⓘ machine learning ⓘ |
| ecosystem | RAPIDS AI NERFINISHED ⓘ |
| feature |
distributed computing support
ⓘ
high-level algorithmic building blocks ⓘ low-level GPU primitives ⓘ multi-GPU support ⓘ performance-optimized implementations ⓘ |
| focusesOn |
composability of algorithms
ⓘ
reusability of GPU components ⓘ |
| goal |
enable reusable GPU-accelerated components
ⓘ
simplify development of GPU-accelerated ML algorithms ⓘ |
| integration |
C++ APIs
ⓘ
Python bindings via RAPIDS ⓘ |
| license | Apache License 2.0 ⓘ |
| optimizedFor |
high throughput
ⓘ
low latency ⓘ |
| partOf | RAPIDS NERFINISHED ⓘ |
| programmingLanguage |
C++
ⓘ
CUDA NERFINISHED ⓘ Python ⓘ |
| provides |
GPU-accelerated algorithms
ⓘ
GPU-accelerated primitives ⓘ building blocks for data science workflows ⓘ building blocks for machine learning workflows ⓘ |
| repository | https://github.com/rapidsai/raft ⓘ |
| supports |
clustering primitives
ⓘ
dense linear algebra operations ⓘ distance and similarity computations ⓘ graph analytics primitives ⓘ multi-node workloads ⓘ random number generation ⓘ single-GPU workloads ⓘ sparse linear algebra operations ⓘ statistics primitives ⓘ |
| supportsHardware | NVIDIA GPUs NERFINISHED ⓘ |
| supportsPlatform | CUDA-enabled systems ⓘ |
| targetUser |
HPC developers
ⓘ
data scientists ⓘ machine learning engineers ⓘ |
| usedBy |
cuGraph
NERFINISHED
ⓘ
cuML NERFINISHED ⓘ other RAPIDS libraries ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.