David Wendt

David Wendt is a senior systems software engineer at NVIDIA developing C++/CUDA code for RAPIDS. David holds a master's degree in electrical engineering from Johns Hopkins University.
David Wendt

Posts by David Wendt

Data Science

Efficient Transforms in cuDF Using JIT Compilation

RAPIDS cuDF offers a broad set of ETL algorithms for processing data with GPUs. For pandas users, cuDF accelerated algorithms are available with the zero code... 9 MIN READ
Data Science

Scaling Up to One Billion Rows of Data in pandas using RAPIDS cuDF

The One Billion Row Challenge is a fun benchmark to showcase basic data processing operations. It was originally launched as a pure-Java competition, and has... 11 MIN READ
Data Science

Mastering String Transformations in RAPIDS libcudf

Efficient processing of string data is vital for many data science applications. To extract valuable information from string data, RAPIDS libcudf provides... 17 MIN READ