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The video of the unveil of the Google MLIR compiler infrastructure is now available. It was a lot of fun getting to present with Tatiana, who is the tech lead and manager of the project. The talk showcases the work of many amazing engineers, thank you! 🎉

(1/n) Latest pre-print from lab! Octopi; open configurable high-throughput imaging platform. Led by an incredible graduate student Hongquan Li - we crack puzzle of automated low-cost malaria diagnosis. Remember, malaria still kills ~1/2million people/year biorxiv.org/content/10.110…

Our first bit of work serverless computing, which may appear at OOPSLA 2019 SPLASH Conference arxiv.org/abs/1902.05870

Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code usenix.org/system/files/a…

#UMassCICS PhD students Abhinav Jangda Donald Pinckney & professors Yuriy Brun Arjun Guha have received an ACM SIGPLAN Distinguished Paper Award for “Formal Foundations of Serverless Computing,” presented at SPLASH Conference today! Learn more: bit.ly/2BEbemY #splash19

"Formal foundations of serverless computing" Jangda et al., OOPSLA'19 blog.acolyer.org/2019/11/18/for… #themorningpaper A foundation for reasoning about serverless functions and their composition.

Congratulations to Assistant Professor Marco Serafini and Associate Professor Arjun Guha for receiving Facebook’s Systems for Machine Learning research award for their proposal, "Massively Parallel Graph Sampling on GPUs." #machinelearning #ML bit.ly/2UP9Hno

"Success in science & scientific work come not through the provision of unlimited or big resources, but in the wise and careful selection of problems and objectives. Above all, what is required is hard sustained work and dedication". ~ Lal Bahadur Shastri. Happy birthday

Cant get the picture of Marge and Homer and how they confronted the dragons of GPU communication out my head! Such an amazing keynote talk at PPoPP23 yesterday by Saeed Maleki! Read more about MSCCL at github.com/microsoft/msccl!

LLMs are great at programming tasks... for Python and other very popular PLs. But, they are often unimpressive at artisanal PLs, like OCaml or Racket. We've come up with a way to significantly boost LLM performance of on low-resource languages. If you care about them, read on!

It's research intern application season at MSR. Come work with us at RiSE! jobs.careers.microsoft.com/global/en/job/…

Tensor parallelism is central to all LLM workloads, from pretraining to inference, yet is hard to get right. That is why PyTorch's AsyncTP is amazing. Even more amazing is when reading it, I learn that the idea originates from a paper by my teammate Saeed Maleki. Congrats!

We are hosting the MIT Programming Languages Review on April 25th in person here at MIT! The PLR is a student-run workshop that aims to highlight the best papers from the past year that we believe will have a significant impact on shaping the future direction of PL research.