🚨 Deadline Extended – Euro-Par 2026 🚨
New deadlines for submissions:
📝 Abstract: 6 March 2026 (AoE)
📄 Paper: 13 March 2026 (AoE, firm)
📍 Pisa, 24–28 Aug 2026
Submit your latest work in parallel & distributed computing!
More info at: 2026.euro-par.org
#EuroPar2026 #HPC #ParallelComputing
🎉 We are delighted to confirm two keynote speakers for Euro-Par 2026:
• Luca Benini
• Michela Taufer
📌 Submission deadlines (AoE):
- Abstract: 27 February 2026
- Paper: 6 March 2026
More info: 2026.euro-par.org
#EuroPar2026 #HPC #ParallelComputing #DistributedSystems
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
Gu et al. advocate for software-hardware synergy in large-scale transportation governance concretized through a model tensorization and parallel computing co-empowered framework.
doi.org/10.1016/j.xi...
#tensorization #parallelcomputing #SmartTransportation
Euro-Par, the leading European conference on parallel and distributed computing, will take place in Pisa, Italy, from 24 to 28 August 2026.
Conference website: 2026.euro-par.org
Call for Papers and tracks: lnkd.in/dcdjczH7
#EuroPar2026 #EuroPar #CallForPapers #HPC #ParallelComputing
Frances Elizabeth Allen: The Woman Who Made Code Run Fast - And Was Forgotten Because It Worked
voxmeditantis.com/2025/12/13/f...
#WomenInSTEM #STEM #CompilerOptimisation #ProgramAnalysis #ParallelComputing
The GPU Revolution: From Pixels to Predictions
Inside NVIDIA's Architecture: What Makes Their AI Hardware Tick? #aichips #AIhardware #artificialintelligence #DeepLearning #GPU #MachineLearning #NVIDIA #ParallelComputing
aitrendio.com/ai-hardware-...
Squire: A General-Purpose Accelerator to Exploit Fine-Grain Parallelism
on Dependency-Bound Kernels
Adrià Armejach, Jesús Alastruey-Benedé et al.
Paper
Details
#ParallelComputing #GPUAcceleration #KernelOptimization
Explore how GPU-driven stroke expansion and Euler spirals redefine vector graphics rendering with speed, precision, and scalability. #parallelcomputing
GPU compute shaders achieve 14× faster stroke rendering than CPUs, with optimized arc handling and cross-device scalability. #parallelcomputing
Efficient GPU algorithm converts Bézier paths into renderable geometry, enabling real-time, cross-platform vector graphics rendering. #parallelcomputing
Efficiently convert cubic Bézier curves to Euler spirals for smoother GPU rendering and accurate parallel curve computations. #parallelcomputing
Today I introduced a much-needed feature to #GPUSPH.
Our code supports multi-GPU and even multi-node, so in general if you have a large simulation you'll want to distribute it over all your GPUs using our internal support for it.
However, in some cases, you need to run a battery of simulations […]
A simple, efficient error metric for approximating curves with arc segments—delivering smoother renders and fewer subdivisions. #parallelcomputing
Discover how Euler spirals simplify curve flattening, offsetting, and rendering—offering smoother, more accurate geometry than Bézier curves. #parallelcomputing
Efficiently flatten curves with Bézier and Euler spiral approximations using invertible error metrics for precision in geometric modeling. #parallelcomputing
Efficient, parallel GPU algorithm for accurate vector stroke rendering using Euler spirals and error-bounded curve approximation. #parallelcomputing
Join us at SC25!
Talk to us about OpenMP API version 6.0, OpenMP with Python, and more! We have a full line-up of activities planned.
Learn more about what we have planned: www.openmp.org/events/sc25/
#HPC #SC25 #OpenMP #parallelcomputing #pyomp #gpu
Graphic announcing Flow Computing’s participation at Slush 2025. The image features a black-and-white portrait of Timo Valtonen, CEO & Co-Founder of Flow Computing, alongside the Slush logo. Text reads: “Timo Valtonen will pitch at the VTT LaunchPad stand (Booth 7B5), introducing Flow’s Parallel Processing Unit (PPU). The PPU integrates directly into CPUs as a turbocharger for scalable high-throughput performance.” Additional text: “Nov 19-20, 2025, flow-computing.com/slush-2025.”
In Nov, our CEO & Co-Founder's pitching @ VTTLaunchPad's stand, 7B5, @ #Slush. We're from @vtt.fi, building on our #parallelcomputing research. We're scaling that foundation into a commercial solution: the #PPU, a parallel co-processor that integrates into #CPUs delivering significant performance.
Our Head of Compiler & Software Engineering, Gábor Márton, Ph.D., will also be attending. If you’re at the event, don’t hesitate to say hello (or Szia!).👋🇭🇺Visit our Events page to see where we’ll be next: flow-computing.com/events/ #FlowComputing #PPU #C++ #ParallelComputing #CPU #Semiconductor
Black-and-white promotional graphic introducing Richárd Szalay, Ph.D., Senior Compiler Engineer at Flow Computing. On the right is a portrait of Richárd looking slightly upward. On the left, bold white text on a black box reads “Meet Richárd.” Below, smaller text lists his name and title. To the right, event details say “C++ Meetup, Budapest. Presenting: The Strangely Familiar Practice of Programming in a Parallel-First World.” At the bottom, text reads “Ericsson House, Budapest | October 8, 2025.”
Our Senior Compiler Engineer, Richárd Szalay, PhD, will speak at the Hungarian C++ Meetup on 8.10 at #EricssonHouse, Budapest. His talk looks at why scaling by “just adding more cores” has reached its limits + how our #PPU opens the door to a truly parallel-first era of computing. #ParallelComputing
Comprehensive Lecture Notes Introduce Parallel Computing Foundations
Lecture notes on parallel computing fundamentals, covering OpenMP, MPI, pthread, were revised in Oct 2025 and include a C‑style guide with a DOI 10.48550/arXiv.2407.18795. Read more: getnews.me/comprehensive-lecture-no... #parallelcomputing #openmp
Parallel Approaches Boost One‑Sided Crossing Minimization Speed
Parallel OSCM algorithms on a 16‑core workstation (32 threads) achieved a near‑19‑fold speedup, nearing linear scaling despite synchronization overhead. Read more: getnews.me/parallel-approaches-boos... #graphdrawing #parallelcomputing
Deep Learning Detects Parallelizable Code Loops
Researchers trained a DNN and a CNN on synthetic code loops, running 30 independent trials each; the CNN showed a modest edge in average accuracy. The work was submitted on September 5 2025. getnews.me/deep-learning-detects-pa... #deeplearning #parallelcomputing
Graph Local Complementation Proven Inherently Sequential
Researchers show local graph equivalence can be decided in O(log² n) time with polynomial processors (NC), but the Local Complementation Problem is P‑complete, likely staying sequential. getnews.me/graph-local-complementat... #graphtheory #parallelcomputing
This is the Parallel Processing Unit (PPU).
And it changes how we think about general-purpose computation.
Just published the explainer.
👇
flow-computing.com/news/what-is...
#ParallelComputing #FlowComputing #CPU #PPU #HPC #Semiconductors
A graphic with a speech bubble containing the text: "WHAT IS THE PPU?" "A licensable IP block that works alongside your CPU to accelerate parallel workloads at scale." In the top left of the bubble is a small icon of a glowing green-blue lightbulb. Below the bubble, smaller text reads: "Curious how it works? Read: What is the PPU?" In the bottom right corner is the Flow logo.
Thread contention. Cache chaos. Performance plateaus.
If you work with parallel workloads, you know the pain.
Here’s our solution: A licensable IP block that works with your #CPU to deliver scalable, high-throughput parallel performance w/o the #SMP bottlenecks.
#Semiconductor #ParallelComputing
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
Heading to the #LLVM / #MLIR Meetup in #Bristol on July 2?
Connect with our Senior Compiler Engineer, Kavan Bickerstaff, & learn more about what we’re building.
👉 flow-computing.com
#Compilers #ParallelComputing #FlowComputing #PPU #CPU #HPC #DeepTech #ParallelProcessing #SoftwareInfrastructure
