Originally published at: https://developer.nvidia.com/blog/reusable-computational-patterns-for-machine-learning-and-data-analytics-with-rapids-raft/
In many data analytics and machine learning algorithms, computational bottlenecks tend to come from a small subset of steps that dominate the end-to-end performance. Reusable solutions for these steps often require low-level primitives that are non-trivial and time-consuming to write well. NVIDIA made RAPIDS RAFT to address these bottlenecks and maximize reuse when building algorithms…