PyData

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...

Most CUDA developers are familiar with the cuModuleLoad API and its counterparts for loading a module containing device code into a CUDA context. In...

RAPIDS is about creating bridges, connections, and clean handoffs between GPU PyData libraries. Interoperability with functionality is our goal. For example, if...

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...