Jan 31, 2023
Accelerating Python Applications with cuNumeric and Legate
cuNumeric is a library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API that supports all NumPy features, such as...
13 MIN READ
Dec 12, 2022
CUDA Context-Independent Module Loading
Most CUDA developers are familiar with the cuModuleLoad API and its counterparts for loading a module containing device code into a CUDA context. In...
5 MIN READ
Mar 19, 2021
10 Minutes to Data Science: Transitioning Between RAPIDS cuDF and CuPy Libraries
RAPIDS is about creating bridges, connections, and clean handoffs between GPU PyData libraries. Interoperability with functionality is our goal. For example, if...
2 MIN READ
Mar 10, 2021
NVIDIA Tools Extension API: An Annotation Tool for Profiling Code in Python and C/C++
As PyData leverages much of the static language world for speed including CUDA, we need tools which not only profile and measure across languages but also...
9 MIN READ