Explore the latest OpenMP 6.0 webinar by POP!

Learn about the strategic roadmap, enhanced base language support (C23, C++23, FORTRAN), innovative tasking (free-agent threads, taskgraphs, iteration concepts), advanced loop transformations (user-defined inductions), threadsets, transparent tasks, and new device offloading features.

Watch here: https://youtu.be/YTbPPhOjO58
Slides: https://bit.ly/3OpnMP6

Call for Papers – IWOMP 2025

The premier OpenMP workshop invites unpublished research on all aspects of parallel programming.

Submission deadline: May 16, 2025 (AoE)
Oct 1–3 | UNC Charlotte, USA | Co-located with #EuroMPI2025

2025 Theme: Balancing Productivity and Performance Portability

Accepted papers will be published in Springer LNCS.

https://www.iwomp.org/call-for-papers/

My brain is absolutely fried.
Today is the last day of coursework submissions for this semester. What a hectic month.
DNN with PyTorch, Brain model parallelisation with MPI, SYCL and OpenMP offloading of percolation models,hand optimizing serial codes for performance.
Two submissions due today. Submitted one and finalising my report for the second one.
Definitely having a pint after this

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

#CUDA #HIP #OpenMP #HPC #Package

https://hgpu.org/?p=29849

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

#SYCL #ROCm #CUDA #PTX #OpenMP #MPI #Astrophysics #Physics #Package

https://hgpu.org/?p=29827

Ready to test the limits of performance?

Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

Bring your code, ideas, and curiosity.
Optimize, accelerate, and innovate with us.
Let’s see what you can build!

https://www.archer2.ac.uk/training/courses/250527-amd-hackathon/

Missed the HPC training course of EuroCC Greece? The full recording is now online and available in Greek!

Learn the basics of #OpenMP & #MPI
Discover how to access #EuroHPC_JU supercomputers and the Greek HPC infrastructure

Ideal for students, researchers, and anyone curious about parallel programming and high-performance computing.

Watch here: https://www.youtube.com/playlist?list=PLDXx3HYfIJMoK5vAmoMn-m0cDp4PSIi_g

Which language/technology did you use when developing your first parallel program?

#OpenMP? #MPI? #CUDA? #pthreads? #Coarrays? #UPC? Something else?

Interested in #MPI and #OpenMP parallel programming to speed up your scientific applications written in #C, #Cpp, #Fortran or #Python (with #numpy)?

Attend our course in #Mainz at the Johannes Gutenberg University (#JGU) for a 4-day course from 1. April to 4. April 2025! We still have plenty of space available!

See our announcement page for further details and to register: https://indico.zdv.uni-mainz.de/event/34/

Note, it is an on-site course.

@unimainz_events

Interested in #MPI and #OpenMP parallel programming to speed up your scientific applications written in #C, #Cpp, #Fortran or #Python (with #numpy)?

Attend our course in #Mainz at the Johannes Gutenberg University (#JGU) for a 4-day course from 1. April to 4. April 2025!

See our announcement page for further details and to register: https://indico.zdv.uni-mainz.de/event/34/

Note, it is an on-site course.

Any #OpenMP lawyers?

Is this not legal?
nvfortran complains that nloop is not shared or private. Do loop trip-counts really need to be?
And for reduction variables (loopsum) too?

program test_omp_private
implicit none
integer :: iloop, nloop
integer :: loopsum

nloop = 10000
loopsum = 0

!$omp parallel do default(none) firstprivate(loopsum) reduction(+:loopsum)
do iloop = 1,nloop
loopsum = loopsum + iloop
end do
!$omp end parallel do

end program

@berkeleylab and NERSC are proud to have hosted the OpenMP ARB Language Committee for a productive face-to-face meeting, working toward the future of the portable OpenMP API beyond the recent release of OpenMP 6.0. The committee put their heads together to discuss a range of topics in the areas of accelerators, C/C++, Fortran, tasking, examples, and more. It's been a great chance to connect, innovate, and plan!

Big news from IIT Madras India!

Introducing IMOP, the IIT Madras OpenMP Compiler Framework—a source-to-source transformation and analysis framework for OpenMP shared memory programs in ANSI C.

Researchers: Use it to build optimization tools
Programmers: Debug, profile, and understand OpenMP programs

Learn more: https://www.cse.iitm.ac.in/~amannoug/imop/index.php
Get it now: https://github.com/amannougrahiya/imop-compiler

Unleashing Matrix Multiplication: A Deep Dive into Optimizing C Code for Performance

In a groundbreaking update, a new implementation of matrix multiplication in C has emerged, outpacing established libraries like OpenBLAS. This article explores the intricate steps taken to enhance pe...

https://news.lavx.hu/article/unleashing-matrix-multiplication-a-deep-dive-into-optimizing-c-code-for-performance

We're used to leaning on children's books in Computer Science - with Gulliver's big-endian vs little-endian. Back at Supercomputing hashtag#SC24, I spoke at the hashtag#Intel booth all about open standards, performance portability, and the journey up the Yellow Brick Road to see the Wizard of Oz. Check out the video of the talk on YouTube:
https://youtu.be/xO8FGAOScpo?si=_BnVilvTBa0Ns6dX
#performanceportability #OpenMP #SYCL

Exciting news for HPC

Michael Klemm sat down with Doug Eadline of HPCwire to explore OpenMP 6.0!

This release introduces features that simplify parallel programming and drive co-processor-agnostic acceleration for unmatched portable performance. Whether scaling or optimizing, OpenMP 6.0 delivers.

Watch now: https://www.hpcwire.com/livewire-interviews/

#HPC #OpenMP #ParallelComputing #OpenMP60 @dontknow

@EricCarroll this is btop - i prefer it in the higher end servers (I use atop in the smaller #arm64 and htop in the mid range Arms). I think the scroll bar of the process subwindow was not fully scrolled to the bottom (should have shown a few #Rstats processes with very high PIDs, each of which was slaving away with #openmp tasks).
This is a simulation for a software adaptation of methods for large-scale survival analysis in electronic health records in shared memory threaded environments

I run a tight ship , and no one gets to slack off with my #openmp tasks

I run a tight ship , and no one gets to slack off with my #openmp tasks