
Professional interests: Python, CUDA, @numba_jit. Personal interests: RISC-V, PSXDev, OSHW, 日本語. Fun: family, cycling, running. Also @gmarkall@mastodon.social
Lincoln, UK
Joined May 2010
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- Following604
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Graham Markall retweeted
Do more on GPUs with less code - check out @gmarkall's new blog on the @numba_jit high-level API medium.com/rapids-ai/extendi…
Graham Markall retweeted
Public service announcement: Yes, the Numba team is aware of the Python 3.11 release. 💥 Yes, we are working on it. 💪Please refrain from opening additional Issues on our tracker and subscribe instead to github.com/numba/llvmlite/pu… and github.com/numba/numba/issue… 🙏🙏🙏
Graham Markall retweeted
Do you use the GPU in Python? If so, for what, and what library do you use? 🤔
Graham Markall retweeted
Replying to @gmarkall
Oh, no doubt it is helping science! I'm always porting some code here at the Allen Telescope Array to make use of it. I also ported Breakthough Listen's de-doppler kernel of TurboSETI from Cython to Numba two years ago. It saw huge performance gains. drive.google.com/file/d/1wEB…
Graham Markall retweeted
Devito 4.7.x is released!
github.com/devitocodes/devit…
Lots of new features, examples/tutorials, optimisations and container overhauls to help you GSD faster and better than ever :-) Massive credit to everyone involved!
Graham Markall retweeted
Yesterday morning, 24 incredible cyclists took on the @Lincsc2c2c in support of St Barnabas 🚴
Thanks to the incredible fundraising, our cyclists have so far raised a huge £8,176, which will be able to fund just over 9 days of specialist inpatient care for one of our patients.
Graham Markall retweeted
One day to go until my ODSC Europe 2022 workshop on GPU development in Python 🚀
I'll be showing folks how to use open-source Python libraries like @numba_jit, @CuPy_Team, @RAPIDSai and more.
These awesome libraries empower you to write GPU accelerated code in pure Python.
Graham Markall retweeted
I'll be giving a talk at GTC on Warp at 6pm PST: nvidia.com/gtc/session-catal…
Graham Markall retweeted
Very happy to announce the public source release of NVIDIA Warp at #GTC22. Warp is a Python framework that makes it easy to write differentiable GPU simulation and graphics code. Code is here: github.com/NVIDIA/warp.
Graham Markall retweeted
Replying to @gmarkall @numba_jit
Thanks for the shoutout! @charlesbluca and Brandon Miller are also presenting in the Dask-SQL talk =)
Graham Markall retweeted
1/12 We - Russia - want to be a nation of peace. Alas, few people would call us that now.
Graham Markall retweeted
It's really important that the United Kingdom makes an immediate open, welcoming & warm hearted commitment of sanctuary to those who wish to leave Ukraine. Rip up the usual bureaucracy & let's just say they are welcome & we will make it as easy as possible to be here
Graham Markall retweeted
List of ways to donate if you've the resources and inclination, including a way to give money directly to the Ukrainian armed forces.
ukrainianinstitute.org.uk/ru…
Graham Markall retweeted
Replying to @RAPIDSai
@RAPIDSai cuDF now supports 128-bit decimal fixed-point. @code_report has worked long and hard on this functionality and on an awesome new @nvidia devblog post published today. developer.nvidia.com/blog/im… #cuda #cpp #apachespark #DataScience
Graham Markall retweeted
Yet another amazing way to do streaming in #python! @stumpy_dev is an amazing time series library and has first class @nvidia #GPU support. towardsdatascience.com/matri… great work @seanmylaw!
Graham Markall retweeted
We're happy to announce our next online meetup!
On February 15th (21:00 MSK - UTC+3), @gmarkall will talk about writing CUDA kernels in Python with Numba: meetup.com/CUDA-Community-Me…
Graham Markall retweeted
Dear Lazyweb: our @Azure based CI for OSX is kaputt --- needs a fix --- but we are out of ideas: numba/numba#7639 --- anyone know a solution, or maybe know someone else that might?






















