LLVM-HPC workshop featured various interesting papers again. Two of my collaborators presented our works: Shilei Tian and Rafael A. Herrera Guaitero. If OpenMP ARB and GPU computing is interesting to you, these papers probably will be as well.

We spy 👀 one of our booth speakers in this ASCR Discovery Newsletter: ascr-discovery.org/2022/11/compil… Check out Johannes Doerfert 's booth talk with Sunita Chandrasekaran 1pm CST Tuesday, 11/15 at the DOE Booth (1600) at SC25

Tuesday 1 pm at the #SC22 DOE's SC Booth booth, hear from @sunitachandra29 Univ. of Delaware Brookhaven Lab and Johannes Doerfert LLNL Computing about ECPSOLLVE, a project that's extending OpenMP to the exascale. scdoe.info/featured-talks/ DOE Office of Science See🧵for more context (1/3)

We actually won the best student paper award this time around!! 🤩🤩🥳🥳 #SC22 Massachusetts Institute of Technology (MIT) Argonne National Lab TU München

Honored to win Best Student Paper SC25 for our paper "Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation" with a great team from MIT CSAIL Argonne National Lab and TU München #SC22

ALCF Argonne National Lab Massachusetts Institute of Technology (MIT) TU München Congrats to all! A special shout out to one of our newest members of technical staff, Johannes Doerfert You have truly hit the ground running here at Lawrence Livermore National Laboratory and it's no surprise to us that this paper won. computer.org/csdl/proceedin…

The llvm.org Developer Meeting videos are up! Check out our panel discussion about moving Clang C++ compiler to MLIR + opportunities and tradeoffs that entails. Thx to Ivan for initiating, Johannes as protagonist🧐 and Bruno/Alex/Mehdi for a great chat. youtube.com/watch?v=ElxPbI…

Congrats to the 2023 BSSw Fellowship Class! Making #scientificsoftware & #developerproductivity better! bssw.io/blog_posts/int… #somycodewillseethefuture Exascale Computing Project 🐘 @[email protected] William Hart Johannes Doerfert Myra Cohen

The first dedicated work on Enzyme (enzyme.mit.edu) in Boulder from February 23-25 is finally shaping up. No matter if you are already using Enzyme, or are only thinking of using Enzyme in the future, we want to hear from you! pretalx.enzyme.csail.mit.edu/enzymecon-2023…

New blog post: LLVM: The middle-end optimization pipeline npopov.com/2023/04/07/LLV…

We are looking for people to work with us on #compilers for #hpc: llnl.gov/join-our-team/… There are also other opportunities, reach out (via email) and spread the word!

Super happy to be able to finally announce the first iteration or our new code data "ComPile", a 182B tokens/2.4TB textual IR dataset of compiled production sources. In collaboration with aidengrossman Konstantinos Parasyris Tal Ben-Nun Billy Moses José M Monsalve Diaz Mircea Trofin & Johannes Doerfert

I guess I'm officially doing HPC now ;)

For portability, it’s crucial to analyze the reliability of various compilers’ #OpenACC implementations across system architectures. Join our webinar 12/7 to explore the OpenACC Validation and Verification Testsuite and its underlying infrastructure. bit.ly/openacc_vvs

ICYMI Lawrence Livermore National Laboratory received a few awards at #SC23: ✔️ Johannes Doerfert: IEEE-CS Technical Community on #HPC Early Career Researchers Award ✔️ SCREAM team: Gordon Bell #climate modeling ✔️ Spack: HPCwire’s Editor's Choice for Best HPC Programming Tool or Technology

Quick reminder that the last day to submit your presentation is January 25th, 2024

A quick update on our large dataset of LLVM intermediate representation - we have published the full dataset on HuggingFace datasets by now (huggingface.co/datasets/llvm-…) with more work to come in the near future :) We've also revised the preprint: arxiv.org/abs/2309.15432

👉 If you are at #ISC24 in Hamburg, consider joining the #OpenMP BoF on Tuesday from 16h45 to 17h45. 👉 The theme this year is "What to Expect from OpenMP API Version 6.0"! 👉 Speakers include Christian Terboven, Simon McIntosh-Smith and Johannes Doerfert #HPC #Embedded

'ComPile: A Large IR Dataset from Production Sources' by Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose M Monsalve Diaz, Mircea Trofin, Johannes Doerfert Action Editor: Sebastian Schelter data.mlr.press/assets/pdf/v01… #Code