Andy Terrel
Employers on the program
- 2024–2025University of Texas and Texas Advanced Computing Center2 talks
- 2023NVIDIA1 talk
- 2019Rex1 talk
Appearances by year
- PyData
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 7, 2025 | PyData Seattle 2025 | PyData | speaker | Building Inference Workflows with Tile Languages The world of generative AI is expanding. New models are hitting the market daily. | Video |
| Nov 7, 2025 | PyData Seattle 2025 | PyData | tutorial | GPU Accelerated PythonAccelerating Python using the GPU is much easier than you might think. We will explore the powerful CUDA-enabled Python ecosystem in this tutorial through…Show lessAccelerating Python using the GPU is much easier than you might think. We will explore the powerful CUDA-enabled Python ecosystem in this tutorial through hands-on examples using some of the most popular accelerated scientific computing libraries. | |
| Jun 6, 2025 | PyData London 2025 | PyData | talk | CUDA in Python: A New Era for GPU Acceleration as University of Texas and Texas Advanced Computing Center We discuss bringing Python natively to the CUDA ecosystem. From low level bindings to domain specific applications, CUDA is supporting Python standards and…Show lessWe discuss bringing Python natively to the CUDA ecosystem. From low level bindings to domain specific applications, CUDA is supporting Python standards and ecosystem. | |
| Nov 6, 2024 | PyData NYC 2024 | PyData | speaker | Accelerating GPU Algorithms in pure PythonGPU programming can be scary but doesn’t need to be. With the CUDA Core Libraries and CUDA Python object model, you have a friendly interface to get you started…Show lessGPU programming can be scary but doesn’t need to be. With the CUDA Core Libraries and CUDA Python object model, you have a friendly interface to get you started with GPU acceleration. | Video |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | bof | Accelerated Python (Python on GPU)If you have interest in NumPy, SciPy, Signal Processing, Simulation, DataFrames, or Graph Analysis, we'd love to hear what performance you're seeing and how…Show lessIf you have interest in NumPy, SciPy, Signal Processing, Simulation, DataFrames, or Graph Analysis, we'd love to hear what performance you're seeing and how you're measuring. We've been working to accelerate your favorite packages on GPUs | |
| Jun 14, 2024 | PyData London 2024 | PyData | tutorial | GPU Development in Python 101 as University of Texas and Texas Advanced Computing Center Since joining NVIDIA I’ve gotten to grips with the fundamentals of writing accelerated code in Python. I was amazed to discover that I didn’t need to learn C++…Show lessSince joining NVIDIA I’ve gotten to grips with the fundamentals of writing accelerated code in Python. I was amazed to discover that I didn’t need to learn C++ and I didn’t need new development tools. | |
| Nov 1, 2023 | PyData NYC 2023 | PyData | speaker | The Beauty and the Beast: Python on GPUS as NVIDIA Python promises productivity, GPUs promise performance, but if you ever try to fire up a program on a GPU you will find that it is often slower than a CPU. | Video |
| Dec 7, 2019 | PyData Austin 2019 | PyData | keynote | Becoming a Data Head, a reflection on the trade offs and decision points in build a data team as Rex Keynote by Andy Terrel | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Katrina Riehl | 4 | 1 | 2025 |
| Dharhas Pothina | 4 | — | 2024 |
| James Powell | 4 | — | 2024 |
| Jacob Tomlinson | 3 | 1 | 2025 |
| Chi Wang | 3 | — | 2025 |
| Chris Fonnesbeck | 3 | — | 2025 |
| Ines Montani | 3 | — | 2025 |
| Jim Dowling | 3 | — | 2025 |
| John Carney | 3 | — | 2025 |
| Dhavide Aruliah | 3 | — | 2024 |
| Gil Forsyth | 3 | — | 2024 |
| Hajime Takeda | 3 | — | 2024 |
| Thomas J. Fan | 3 | — | 2024 |
| Jeremy Tanner | 2 | 1 | 2025 |
| Adam Hill | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.