paul taylor

open-source multi-lang GPGPU eng. @nvidia. @rapidsai, @apachearrow, @reactivex.

[paul taylor @inlineptx]

"An Observable is a function that, when invoked, returns zero to infinity values between now and the end of time." #async #dark #sorcery

[Mark Harris @harrism]

Excited to be (virtually) back at #GTC23! Join me for a deep dive into concurrent #CUDA code with stream-ordered allocation. Learn how to avoid common pitfalls and achieve safe, lightning-fast performance. C++ examples included! Register now: https://t.co/P28nCOGT30

[Colaboratory @GoogleColab]

Everyone knows GPUs speed up ML training but did you know they can also turbocharge your analytics workflow? Our friends from @nvidia explain how to get started with @RAPIDSai cuDF.
https://t.co/hixDWh44Lp

[paul taylor @inlineptx]

@cwharris @BartleyR https://t.co/620jtNEVel

[RAPIDS AI @RAPIDSai]

RAPIDS available via pip on an experimental basis. Send tweet. https://t.co/LPLMNc29UW

[paul taylor @inlineptx]

@ibesora @bolosig @CARTO @nvidia I just pushed some updates to download the datasets + instructions for running the demos (needs Ubuntu20.04+ and an NVIDIA GPU)

[paul taylor @inlineptx]

@bolosig @ibesora @CARTO @nvidia I put the code up on GitHub here: https://t.co/brvitkec9O, and will post links to data sources when I get a chance (on vacation now)

[Terrible Maps @TerribleMaps]

Map of Roman Air Bases in 2nd Century AD

[CARTO @CARTO]

Kicking off part 2 of #openvizsummit22 we have @inlineptx giving us a great live demo of GPU-accelerated Geospatial Analytics with @nvidia RAPIDS, working with less common #geospatial formats like CSVs, parquet and torque 🤩

[Ismael Ghalimi @ghalimi]

1B Uint32 values loaded from CPU RAM to GPU RAM in 235ms (17GB/s) while sharing my PCIe 4.0 bus (64GB/s) with three other VMs. Nice! Many thanks to @inlineptx for his help. @NVIDIA rocks!

[Ismael Ghalimi @ghalimi]

Apache Arrow is awesome! IPC all the way...

[Allan @exactlyAllan]

I had to pleasure of having @coding_matt intern with us on the @RAPIDSai Viz team this last year. Check out his blog post detailing one of neat things he helped us with for @nodejs + RAPIDS - https://t.co/Iqpb9Q6uwb

[paul taylor @inlineptx]

@Symbo1ics @nodename I'm sure the scientists at ANL would love to hear how they didn't factor in mining and manufacturing costs in their analysis where they explicitly did just that.

[paul taylor @inlineptx]

@Symbo1ics @nodename oh come on, this is entry-level-googling easy to refute https://t.co/eBLXPhEzWG

[paul taylor @inlineptx]

@sxaTech @exactlyAllan The libraries do run on Jetson, but I haven't built the containers from the jetpack base images in the last few months. Possible a few x86-only dependencies slipped in w/ addition of NVENC WebRTC and SQL libs.

[Allan @exactlyAllan]

I'll be speaking today about GPU accelerated Data Science with Node.js at https://t.co/IzfPAyqhWZ Come check it out, its free!

[RAPIDS AI @RAPIDSai]

Take time to check out the talk @exactlyAllan will give today!! Did you know we have RAPIDS Node.js? If you did, do you want to know great ways to put it to use? The talk is free! And check out his blog post https://t.co/PyNuK2fkvg

[paul taylor @inlineptx]

@joelhooks https://t.co/bfm79jRdaC

[paul taylor @inlineptx]

@Kitware is CMake's apt repo updating? getting 403's on https://t.co/FAc1d7JIOa

[paul taylor @inlineptx]

seriously considering maintaining a chromium fork with the "tab hover cards" and "tab search" commits reverted

[RAPIDS AI @RAPIDSai]

Here it is - node-RAPIDS - an #OpenSource, technical preview of modular @RAPIDSai bindings in @nodejs built to enable high-performance, server-side #visualizations and #Analytics. https://t.co/PyNuK2wVmO