Very rarely do you get a 5-8x speedup in anything, but when you do, it's glorious. Also, yes, I worked on this, and co-wrote the blog post too! cockroachlabs.com/blog/bulk-data…

Hype for the new release!! Lot's of big stuff I and my old team worked hard on are now out :D

exciting news: we've released our *free forever* tier of CockroachDB on Cockroach Cloud. a lot of you have been asking about this - now is your chance to sign up and try it out! cockroachlabs.cloud

A couple days ago I gave a talk at the MIT Fast Code Seminar, where I presented our work on disentanglement and memory management for parallel programs. Check out the talk here: youtu.be/XCtIsgByg9w Big thanks to Julian Shun for inviting me to give the talk!

Meet and learn from women engineers & leaders like Stella Han, CEO of Fractional, at our upcoming Women in Engineering seminar series! Apply to attend breakout sessions, get mentorship from YC alumna & eng managers, and join a community of peers: workatastartup.clicksocialcard.top/chlws5

I'll be presenting my recent research at this seminar! Should be a fun time :D

I gave a talk yesterday at the Oxford Tensor Computations seminar about my recent work on compiling tensor programs to run on supercomputers. Check out the talk here: youtube.com/watch?v=P2Tt2y…

Proud of Stella Han and Fractional!

a little late to the game, but: I am on the 2024 job market for tenure-track positions! My research focuses on parallel programming. Specifically: I want to make it simpler and safer to develop parallel software. site: cs.cmu.edu/~swestric/ research: cs.cmu.edu/~swestric/othe…

did you know you've been doing test-time learning this whole time? transformers, SSMs, RNNs, are all test-time regressors but with different design choices we present a unifying framework that derives sequence layers (and higher-order attention👀) from a *single* equation 🧵

It’s been a long time since I’ve read an article as good as ⁦Rohan Yadav⁩’s explanation of warp specialization from first principles. Gist: warp specialization lets us mimic an OOO processors without using up the chip space to implement OOO execution rohany.github.io/blog/warp-spec…