At NVIDIA GTC 2024, it was announced that RAPIDS cuDF can now bring GPU acceleration to 9.5M million pandas users without requiring them to change their code. Update: RAPIDS cuDF now instantly accelerates pandas with zero code changes in Google Colab. Try out the tutorial in a Colab notebook today. pandas, a flexible and powerful data analysis and manipulation library for Python…
]]>The C++ standard library contains a rich collection of containers, iterators, and algorithms that can be composed to produce elegant solutions to complex problems. Most importantly, they are fast, making C++ an attractive choice for writing highly performant code. NVIDIA recently introduced stdpar: a way to automatically accelerate the execution of C++ standard library algorithms on GPUs…
]]>