GPU-Accelerate Algorithmic Trading Simulations by over 100x with Numba
Quantitative developers need to run back-testing simulations to see how financial algorithms perform from a profit and loss (P&L) standpoint. Statistical...
Bridging the CUDA C++ Ecosystem and Python Developers with Numbast
By enabling CUDA kernels to be written in Python similar to how they can be implemented within C++, Numba bridges the gap between the Python ecosystem and the...
Writing Ray Tracing Applications in Python Using the Numba Extension for PyOptiX
Ray tracing is a rendering algorithm that can generate photorealistic images by simulating how light transmits and interacts with different materials. Today, it...
Accelerated Portfolio Construction with Numba and Dask in Python
Python is no stranger to data scientists. It ranks as the most popular computer language and is widely used for all kinds of tasks. Though Python is notoriously...
Accelerating Sequential Python User-Defined Functions with RAPIDS on GPUs for 100X Speedups
Motivation Custom “row-by-row” processing logic (sometimes called sequential User-Defined Functions) is prevalent in ETL workflows. The sequential nature of...
To say it with the words of Eamonn Keogh: “Time series is a ubiquitous and increasingly prevalent type of data […]”. Virtually any incrementally measured...
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...
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...
CUDACasts Episode #12: Programming GPUs using CUDA Python
So far in the CUDA Python mini-series on CUDACasts, I introduced you to using the @vectorize decorator and CUDA libraries, two different methods for...
CUDACasts Episode #11: GPU Libraries for CUDA Python
In the previous episode of CUDACasts I introduced you to NumbaPro, the high-performance Python compiler from Continuum Analytics, and demonstrated how to...
This week's CUDACast continues the Parallel Forall Python theme kicked off in last week's post by Mark Harris, demonstrating exciting new support for CUDA...
