📸 Full house at the OpenMP BOF at #ISC25 — over 140 attendees joined us in Hamburg! 🎉
Our session "What to Expect from OpenMP API Version 6.0" covered:
✅ A dive into key features of OpenMP 6.0
✅ A preview of 6.1 and 7.0
✅ Updates from toolchain developers
✅ Lively Q&A to help shape future OpenMP directions
Thanks to everyone who contributed — your feedback is powering the future of parallel programming! 💡
#OpenMP #HPC #ISC2025 #OpenMP6 #ParallelComputing #Supercomputing
We’re excited to welcome NextSilicon to the OpenMP Architecture Review Board! 🎉
Their Intelligent Compute Architecture blends adaptive computing with self-optimizing hardware/software and open frameworks like OpenMP. Together, we’re shaping a future of performant, portable, shared-memory parallelism. 💻🌐
Read the press release:
https://tinyurl.com/yksfbrah
Join us at #ISC25 for the tutorial “Advanced OpenMP: Performance and 6.0 Features” on Friday, June 13, 9:00–13:00 CEST in Hall Y12, 2nd Floor, Hamburg Congress Center.
Learn how to boost OpenMP code performance on NUMA systems and accelerators, and get hands-on insights into vectorization, data locality, and the latest features in OpenMP 6.0.
Ideal for developers who want to go beyond the basics!
🏥 
🚀 Excited to announce that https://hachyderm.io/@mppf and Shreyas from the #ChapelLang project will be at #HPSFCon in Chicago this week! Come find us, talk all things parallel computing, open source, and the future of high-performance software.
🎙️ Don’t miss our presentation on Day 1 — check the full schedule at https://events.linuxfoundation.org/hpsf-conference/program/schedule/
Big thanks to The Linux Foundation and HPSF for hosting!
#ChapelLang #HPC #OpenSource #HPSFCon #LinuxFoundation #ParallelComputing
148 Posts, 14 Following, 27 Followers · My goal: make parallel programming easier for everybody. Compiler developer for the Chapel programming language for productive parallel programming at any scale ( https://chapel-lang.org/ ). Creator of FEMTO sequence indexing and search ( https://github.com/femto-dev/femto ). Both of these are open source! He/him. #hpc #compiler I work at HPE. I post about the Chapel programming language. And cats.
🏆 Hugo Krawczyk – ACM Paris Kanellakis Theory and Practice Award
For pioneering and lasting contributions to the theoretical foundations of cryptographically secure communications, and to the protocols that form the security foundations of the Internet.
🔗 https://bit.ly/4jBJjHX
👏 Congratulations to all the awardees shaping the future of computing!
#ACMTechnicalAwards #Cryptography #ParallelComputing #ComputerScience
Hugo Krawczyk, Senior Principal Scientist, Amazon, receives the ACM Paris Kanellakis Theory and Practice Award for pioneering and lasting contributions to the theoretical foundations of cryptographically secure communications, and to the protocols that form the security foundations of the Internet. The ACM Paris Kanellakis Theory and Practice Award honors specific theoretical accomplishments that have had a significant and demonstrable effect on the practice of computing. This award is accompanied by a prize of $10,000 and is endowed by contributions from the Kanellakis family, with additional financial support provided by ACM’s Special Interest Groups on Algorithms and Computation Theory (SIGACT), Design Automation (SIGDA), Management of Data (SIGMOD), and Programming Languages (SIGPLAN), the ACM SIG Projects Fund, and individual contributions.
I achieved a speedup of 10000 compared to the CPU implementation. I'm quite happy with that. Note that the chart uses a logarithmic scale, otherwise most of the runs would not be visible.
For example, the CPU took a bit more than 30 minutes to solve the biggest input, the parallel (CPU) version took a bit more than 8 minutes. Meanwhile, my best handwritten implementation on the GPU takes less than 200ms for the same problem, and the version using the optimized cuBLAS library takes just 64ms.
Edit: upload chart with white background, the transparent version didn't fare well with my Fediverse clients.
Hi R people! Could you suggest some guides and links on how to set up parallel processing with `foreach` that can work both on Windows and Linux/Mac? I'm searching for guides on the net, but most of them seem to have become obsolete. Thank you!
🚀 Intel Developer Tools v2025.1 is here with new OpenMP 6.0 features!
The Intel® Fortran Compiler enhances #OpenMP 6.0 support with two powerful additions: WORKDISTRIBUTE for efficient thread-level work distribution, and INTERCHANGE to reorder loop nests for improved parallelism and optimization.
A big win for HPC and embedded devs!
https://www.intel.com/content/www/us/en/developer/articles/news/oneapi-news-updates.html#2025.1
OpenMP ARB
Luis Falcon
Mille e Una Avventura
Chapel Programming Language
Assn for Computing Machinery
Miro
pglpm