#parallelcomputing
#ParallelComputing: not what it's cracked up to be
February 18, 2025 at 7:21 PM
GPUArrays.jl v11 now runs on KernelAbstractions.jl, making #GPU #programming in Julia more flexible & powerful. Learn more: juliagpu.org/post/2025-01... #JuliaLang #ParallelComputing #HighPerformanceComputing
February 17, 2025 at 7:06 PM
Inside the GPU: How CUDA Code Maps to Silicon (SMs, Warps & Memory Limits) youtu.be/XAX_z5zZJ7s?... via @YouTube

#GPUArchitecture #CUDA #AIInfrastructure #ParallelComputing #NVIDIA #DeepLearning #DataCenter #sdntechforum
Inside the GPU: How CUDA Code Maps to Silicon (SMs, Warps & Memory Limits)
YouTube video by SDN TechForum
youtu.be
September 22, 2026 at 5:15 PM
Big update for OpenCL.jl! Version 0.10 brings native Julia kernels, a revamped API & better integration with the Julia #GPU ecosystem. Ready to level up your OpenCL workflows? Try it now! juliagpu.org/post/2025-01... #JuliaLang #HighPerformanceComputing #ParallelComputing
February 5, 2025 at 7:32 PM
👏 Congratulations to all the awardees shaping the future of computing!

#ACMTechnicalAwards #Cryptography #ParallelComputing #ComputerScience
May 1, 2025 at 5:21 PM
Parallel processing in Julia made simple! Explore ParametricProcesses.jl, a powerful tool for managing multi-threading with ease. Boost performance & scalability effortlessly. Learn more! medium.com/chifi-media/... #JuliaLang #ParallelComputing #Multithreading #HPC
Incredibly Easy Parallel Processing In Julia
How to use the high-level ParametricProcesses process manager in Julia.
medium.com
February 4, 2025 at 5:32 PM
Congratulations to Sascha Maibach on completing his BSc thesis: Verification and Validation of the OpenMP Standard Functionality with Focus on Scheduling Clauses! Shedding light on the challenges of testing OpenMP scheduling and how to validate its functionalities.

#HPC #OpenMP #ParallelComputing
February 3, 2025 at 6:45 AM
Gymnasium #Bäumlihof pupil Oleh Chekhovych explored how #Python can speed up the Mandelbrot set computations using #parallelcomputing with #PyOMP during his Profilwochen conducted in our @dmi-hpc.bsky.social.
Great work, Oleh!
#HPC #Coding #STEM
March 4, 2025 at 11:52 AM
The future of computing is built through collaboration
...and sometimes over pasta in Piedmont.
#DeepTech #Semiconductors #ParallelComputing #StartupLife #TeamWork #FlowComputing
We recently gathered in Italy for a F2F week of technical collabs, planning, discussions, & more. As a fast-growing #DeepTech team, these weeks are important to align on priorities, exchange ideas, solve problems,& build momentum. We also explored nearby cities & enjoyed each others company.
May 18, 2026 at 4:04 PM
The results are in. Our performance results page is live.
Access benchmark results, speedup data & how #FlowPPU approaches scalable parallel performance alongside the #CPU.
Review the data: flow-computing.com/performance/

#Semiconductor #ParallelComputing #HPC #DeepTech #FlowComputing #AI
September 15, 2026 at 3:03 PM
Learn how to write efficient, vendor-neutral #GPU #code in Julia. In this recorded webinar, Tim Besard shows how KernelAbstractions.jl enables high-performance kernels across architectures. juliahub.com/company/reso...
#JuliaLang #GPUProgramming #HPC #ParallelComputing #OpenSource
Vendor-Neutral GPU Programming in Julia
Learn vendor-neutral GPU programming in Julia using KernelAbstractions.jl and array abstractions for efficient, portable, and flexible GPU code.
juliahub.com
July 10, 2025 at 4:07 PM
September 17, 2026 at 9:20 AM
I’m thrilled and honored to receive this year’s IEEE #TCHPC Early Career Award. A super thank you to everyone in the ALPS Lab, as well as to my mentors and collaborators!

#HPC
#SparseLinearAlgebra
#IEEE
#ParallelComputing
#BiomedicalResearch
Guidi selected for 2026 IEEE TCHPC Early Career Award
In recognition of her efforts to advance techniques that expand large-scale computation capabilities for data analysis and the life sciences, Giulia Guidi, assistant professor of computer science in t...
www.cs.cornell.edu
September 16, 2026 at 12:13 PM
We had a very productive F2F meeting last week at the Argonne Leadership Computing Facility, with many thanks to our great hosts at the Argonne National Lab. The main objective was to feature-freeze OpenMP API version 6.1 and we accomplished that mission!

#OpenMP #ParallelComputing #HPC
May 13, 2026 at 4:11 PM
With KernelAbstractions.jl, Julia enables portable #GPU kernels that work across #NVIDIA, #AMD, and #Intel GPUs—no more rewriting code for each architecture. This unlocks flexibility in #AI, scientific #simulations, and #HPC workloads.
juliahub.com/blog/vendor-...
#JuliaLang #ParallelComputing
Vendor-Neutral GPU Programming in Julia: Unlocking Portability with KernelAbstractions.jl
Learn how Julia enables vendor-neutral GPU programming using KernelAbstractions.jl. Write portable, high-performance GPU code across vendors.
juliahub.com
February 20, 2025 at 7:21 PM
While setting up yet another large #simulationstudy in which some replications result in an error, the total runtime is not completely predictable for an #HPC #parallelcomputing job, etc., I drafted an #rstats package for wrangling such simulations: github.com/krivit/piece... . Feedback appreciated!
GitHub - krivit/piecemeal: An R package for wrangling large simulations
An R package for wrangling large simulations. Contribute to krivit/piecemeal development by creating an account on GitHub.
github.com
April 14, 2025 at 4:55 AM
An execution pathway is:
• the actual path your code takes at runtime
• shaped by input data
• responsible for time, memory, and energy

Not theoretical. Observable. Controllable.

#SelfAwareCompute #ParallelComputing #SoftwareEngineering
April 28, 2026 at 4:44 PM
You can’t trust everyone.
You can trust the architecture.
Flow PPU → scalable parallel performance
The science behind it → flow-computing.com/SCIENCE/

#ComputerArchitecture #ParallelComputing #FlowPPU #DeepTech #CPU #HPC #Semiconductor
February 10, 2026 at 9:09 AM
At the #LangeNachtderForschung on 24 April in Vienna, a robotic arm will paint your portrait using #VSCrunchy – a mini‑supercomputer built from 16 Raspberry Pis. See it at the #AI Factory Autria stand on Maria‑Theresien‑Platz between the Natural History and Art History Museums.

#ParallelComputing
April 15, 2026 at 7:12 AM
🚀 New Article Alert! 🚀
"Using Multi-Devices with OpenMP" by Roger Ferrer & Xavier Teruel @BSC_CNS
🎓 Learn how to harness the power of multi-device programming with OpenMP for faster, more efficient computing.
🔗 riser-project.eu/using-multi-...
#OpenMP #HCP #ParallelComputing
March 10, 2025 at 11:44 AM