Dr T
aterrel.bsky.social
Dr T
@aterrel.bsky.social
Python loving, tech executive
#SciPy2025 Announcing the launch of CCCL Python, a missing building block of heterogeneous programming in Python

developer.nvidia.com/blog/deliver...
Delivering the Missing Building Blocks for NVIDIA CUDA Kernel Fusion in Python | NVIDIA Technical Blog
C++ libraries like CUB and Thrust provide high-level building blocks that enable NVIDIA CUDA application and library developers to write speed-of-light code that is portable across architectures.
developer.nvidia.com
July 9, 2025 at 7:38 PM
Woot! Video of #PyConUS 2025 Accelerated Python talk with Jeremy up on YouTube. Check it out:

youtu.be/6IcvKPfNXUw?...
Accelerated Python: The Community and Ecosystem (Sponsor: NVIDIA)
YouTube video by PyCon US
youtu.be
May 24, 2025 at 6:47 PM
Come see the CUDA Python team at PyCon!!!
April 4, 2025 at 2:35 PM
Reposted by Dr T
We are excited to be here on @bsky.app and excited to announce the release of Bokeh version 3.7! Some great new features like windowed auto-ranging, support for more DataFame types, and new UI components—read all about it on our latest blog post

discourse.bokeh.org/t/bokeh-3-7-...
Bokeh 3.7 is released!
Check out the details in the blog post! For full details about this release, you can check out the release notes here: Releases — Bokeh 3.7.0 Documentation
discourse.bokeh.org
March 12, 2025 at 9:24 PM
🚀 Calling all CUDA developers! Whether you're a GPU programming newbie or a seasoned CUDA ninja, join our Meet Up!

📅 Jan 30, 5:30 PM PST

📍 Q Bay Center, 160 E Tasman Dr, San Jose, CA

🤝 Connect with the community and shape the future of CUDA.

www.aicamp.ai/event/eventd...
CUDA Developer Meet Up with NVIDIA (Silicon Valley)
AICamp: Learn and practice AI/ML from anywhere any time with webinars, workshops and courses.
www.aicamp.ai
January 14, 2025 at 4:13 PM
Excited to announce my new role on the Admin Board of NumFOCUS! Recently, I posted about our initial meeting on my personal blog. Check it out here: andy.terrel.us/blog/2025/01...
Codematician
andy.terrel.us
January 10, 2025 at 12:33 PM
Obligatory new year post:

andy.terrel.us/blog/2025/01...
Codematician
andy.terrel.us
January 4, 2025 at 12:55 PM
Reposted by Dr T
Blessed is the techie who does not walk in the counsel of the vaporware evangelist, nor stand in the way of the deadline manipulator, nor sit in the company of the review nitpicker.
December 30, 2024 at 12:22 PM
wow this is great! GPU glossary is a great resource for anyone interested in accelerated computing.

modal.com/gpu-glossary
GPU Glossary
A glossary of terms related to GPUs.
modal.com
December 14, 2024 at 2:44 PM
Reposted by Dr T
We are very exited to share with you PEP 768 🐍, which proposes a safe external debugger interface to Python. We think this is a really exciting change that would allow debuggers and tools to safely attach to running Python processes without stopping or restarting them. 🔨🐛

peps.python.org/pep-0768/
PEP 768 – Safe external debugger interface for CPython | peps.python.org
This PEP proposes adding a zero-overhead debugging interface to CPython that allows debuggers and profilers to safely attach to running Python processes. The interface provides safe execution points f...
peps.python.org
December 12, 2024 at 1:31 PM
A peek into what we are building in CUDA Python! A full featured CUDA from our beloved Python. See Bryce Lelbach talk about NVIDIA pushing the boundary of Python performance. See the code in action at github.com/aterrel/llm....

www.youtube.com/watch?v=86nM...
Bryce Lelbach & Andy Terrel - Accelerating GPU Algorithms in pure Python | PyData NYC 2024
YouTube video by PyData
www.youtube.com
December 12, 2024 at 4:13 PM
What is your favorite way to write a*x + y?

Looking at a fully better Python object model with the new experimental beta of cuda-python's cuda.core module:

github.com/NVIDIA/cuda-...
cuda-python/cuda_core/examples/saxpy.py at cuda-core-v0.1.0 · NVIDIA/cuda-python
CUDA Python Low-level Bindings. Contribute to NVIDIA/cuda-python development by creating an account on GitHub.
github.com
November 13, 2024 at 10:31 PM
Hope to see all my old HPC friends at SC'24 in Atlanta next week.

Will be presenting Monday, Nov 18 at the Workshop on Python.

Come see as I outline the NVIDIA efforts to bring the entire CUDA Platform to the Python Ecosystem.

hppss.github.io/SC24/schedul...
Workshop Schedule — SC24 Workshop: High Performance Python for Science at Scale documentation
hppss.github.io
November 13, 2024 at 2:17 PM
How does this thing work?
May 3, 2023 at 11:15 PM
Oh cosine similarity, you make my heart sing,
With your elegant formula and mathematical swing,
You measure the similarity between vectors with grace,
And help us find patterns in data without a trace.
April 27, 2023 at 12:05 PM
Hello world!
April 26, 2023 at 12:16 PM