Technical Blog
Tag: Numba
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Technical Walkthrough
Jun 01, 2022
Writing Ray Tracing Applications in Python Using the Numba Extension for PyOptiX
Using Numba and PyOptiX, NVIIDA enables you to configure ray tracing pipeline and write kernels in Python compatible with the OptiX pipeline.
13 MIN READ
Technical Walkthrough
Oct 21, 2021
Accelerated Portfolio Construction with Numba and Dask in Python
Learn the power of Numba and Dask in Python for high performance portfolio construction.
8 MIN READ
Technical Walkthrough
Jun 07, 2021
Accelerating Sequential Python User-Defined Functions with RAPIDS on GPUs for 100X Speedups
Custom “row-by-row” processing logic (sometimes called sequential User-Defined Functions) is prevalent in ETL workflows. The sequential nature of UDFs makes…
3 MIN READ
Technical Walkthrough
Apr 29, 2021
Aligning Time Series at the Speed of Light
In this blog, we introduce rapidAligner – a CUDA-accelerated library to align a short time series snippet (query) in an exceedingly long stream of time series (subject).
10 MIN READ
Technical Walkthrough
Jul 09, 2020
Running Python UDFs in Native NVIDIA CUDA Kernels with the RAPIDS cuDF
In this post, I introduce a design and implementation of a framework within RAPIDS cuDF that enables compiling Python user-defined functions (UDF) and inlining…
12 MIN READ
Technical Walkthrough
Oct 02, 2017
Seven Things You Might Not Know about Numba
One of my favorite things is getting to talk to people about GPU computing and Python. The productivity and interactivity of Python combined with the high…
17 MIN READ