5/x by adding a voluntary computational component to distributed clients (think SETI) the federated distributed network could rival the computational capability of the centralized oligoprocessopoly (data centers)
#science #computing #distributedsystems #distributedcomputing #FediFlops

RPC is a mechanism for structuring distributed systems, not a transport protocol. The calling program blocks until the remote procedure returns — reproducing local call semantics across a network to simplify distributed application development.

#RPC #DistributedComputing

Consensus in Distributed Systems: Understanding the Raft Algorithm Raft: Why Simplicity Wins in Distributed Consensus

My latest article exploring Raft algorithm for consensus in distributed computing

open.substack.com/pub/ammarhus...

#Raft #DistributedComputing

SETI@home was a true pioneer, paving the way for modern distributed computing. Its model influenced projects like BOINC and even laid groundwork for concepts now seen in cloud computing, demonstrating the immense power of collective processing for big data. #DistributedComputing 3/6

Enthusiasts used their home computers to search for ET—scientists are homing in on 100 signals they found For 21 years, between 1999 and 2020, millions of people worldwide loaned UC Berkeley scientists their computers to search for signs of advanced civilizations in our galaxy.

I had that running on my home and work computer BITD!

phys.org/news/2026-01-enthusiasts...

#SETI #SETIatHome #DistributedComputing

Pünktlich heute Abend zu #Weihnachten habe ich bei beim #BOINC-Projekt #WUProp die Marke von 400.000 gerechneten Stunden überschritten. ☺️
Die #Statistik erfasst Daten ab 2010. Ich unterstütze aber auch #Projekte ohne #BOINC seit 2001.
#Rechenkraft #DistributedComputing #DC #Forschung #Wissenschaft

Powering Distributed AI/ML at Scale with Azure and Anyscale The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time orchestrating distributed compute than building the intelligence that powers their products. Scaling from a laptop experiment to a production-grade workload still feels like reinventing the wheel. What if scaling AI workloads felt as natural as writing in Python itself? That’s the idea behind Ray, the open-source distributed computing framework born at UC Berkeley’s RISELab, and now, it’s coming to Azure in a whole new way. The post Powering Distributed AI/ML at Scale with Azure and Anyscale appeared first on Microsoft Azure Blog.

Powering Distributed AI/ML at Scale with Azure and Anyscale: The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time… @Azure #AI #MachineLearning #DistributedComputing

Discord's ML Scaling Breakthrough Discord's machine learning systems have evolved significantly, overcoming scaling challenges with distributed computing.

Discord's ML Scaling Breakthrough techlife.blog/posts/how-di...

#DistributedComputing #Ray #KubeRay #XRay #Discord

Predicting the Future: Using Machine Learning to Boost Efficiency in Distributed Computing A variety of vital digital services — including that streaming service with ridiculously large catalogs of video content, or that data service that delivers information about its analytics — leverage...

Predicting the Future: Using Machine Learning to Boost Efficiency in Distributed Computing #Technology #SoftwareEngineering #ArtificialIntelligence #MachineLearning #DistributedComputing #Efficiency

#UCP25 | Where should your AI actually run and why it matters? 🤔

Don’t miss it at Update Conference Prague, 𝐡𝐚𝐩𝐩𝐞𝐧𝐢𝐧𝐠 𝐭𝐡𝐢𝐬 𝐰𝐞𝐞𝐤!🔗 prague.updateconf.net

#UCP25 #AI #DistributedComputing #EdgeComputing #softwaredevelopment #updateconference

Integrating Useful Computation into Blockchain: PNPCoin’s Runtime and Compatibility Framework

The architecture maintains Bitcoin’s consensus integrity while enabling deterministic, peer‑verified scientific computation at scale. #distributedcomputing

"Computer science is no more about computers than astronomy is about telescopes"
- Edsger W. Dijkstra

#ComputationalThinking #DistributedComputing #HPC

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 […]

OGPU Network Continues Decentralized GPU Compute Development

The OGPU Network is advancing its mission to democratize GPU compute power through decentralized infrastructure. The platform enables individuals to... #distributedcomputing

Researchers from CISPA and Saarland University have set a new benchmark for the Lovász local lemma, a key concept in distributed computing. Why could this reshape how we approach complex systems? Share your thoughts! #DistributedComputing #AIResearch #Innovation LINK

Investing in Decentralized Compute & GPU Networks The AI Gold Rush is On. But Who's Selling the Shovels? You’ve seen the headlines. AI is eating the world, and companies like Nvidia are reaping the rewards, with stock…

Investing in Decentralized Compute & GPU Networks #AkashNetwork #AIcryptoprojects #decentralizedGPUnetworks #distributedcomputing #cryptoinvestmentthesis #blockchaincompute #decentralizedcompute #Web3infrastructure #RenderNetwork #GPUrenderingcrypto

New post about #BOINC WSL image installer and other updates: aenbleidd.github.io/2025.10.17.h...

#DistributedComputing #VolunteerComputing #GridComputing #CitizenScience

The BOINC@Heidelberg team logo from around the time the poster was a member 2005-2009

Memories of long ago

I used to do distributed computing projects for BOINC@heidelberg

They made me feel like I belonged, which at that time did not happen often. I sincerely hope they are doing well.
#boinc #boincatheidlberg #distributedcomputing

#BOINC Central boinc.berkeley.edu/central/ on #Grafana: grafana.kiska.pw/d/boinc/boin...

#DistributedComputing #VolunteerComputing #GridComputing #CitizenScience

🚀 Today’s the day!

🪐 Join us at 2 PM ET (UTC -05:00) for IPNSIG’s Virtual Keynote:
“On Interplanetary and Relativistic Distributed Computing”
with Dr. Siddhartha Jayanti (Dartmouth)

🔗 It is your last chance to register now at IPNSIG.org

#IPNSIG #SpaceNetworking #DistributedComputing

CGSim Launches Scalable AI‑Ready Simulation for Distributed Computing

CGSim, built on SimGrid, can simulate hundreds of sites and thousands of jobs, achieving near‑linear scaling and about six‑fold faster performance than single‑site runs. Read more: getnews.me/cgsim-launches-scalable-... #cgsim #distributedcomputing

Privacy vs. Download Rate in Distributed Batch Matrix Multiplication

Researchers quantified the trade‑off between download rate and privacy in matrix multiplication, showing α (0‑1) linearly impacts download size for square matrices. getnews.me/privacy-vs-download-rate... #distributedcomputing #privacy

[New Post]
Unlocking Tomorrow: How Cluster Technology Inc. (4240) and Distributed Computing are Reshaping Our Future

#ClusterTechnology #DistributedComputing #FutureTech #CloudComputing mos-technology-en.blogspot.com/2025/09/unlocking-tomorr...

There is a dearth of @foldingathome.org work units suddenly. Did Trump admin’s (illegal) funding c̶u̶t̶s̶ witholdings impact projects that were using F@H such that they can’t publish new WU?

My new 5070 that I got for $3 (after points) needs work to do, maaaaaaan. #foldingathome #distributedcomputing

Video: New Akka SDK Component: Agent In this video, Akka engineer Eduardo Pinto introduces the Akka Agent, a core component within the Akka SDK. Designed to interact with AI models.

𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝗔𝗸𝗸𝗮 𝗔𝗴𝗲𝗻𝘁 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁!

A new 𝗔𝗸𝗸𝗮 𝗦𝗗𝗞 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 designed to:
  • Interact with #AI models like LLMs
  • Run with or without durable memory
  • Operate autonomously and integrate seamlessly with other Akka components

akka.io/blog/video-n...
#Agents #LLMs #AgenticAI #DistributedComputing

Advertise and call remote flows by makasim · Pull Request #85 · makasim/flowstate Distributed Flow Execution Support This PR introduces the foundation for building distributed computing networks using flowstate. Each node in the network can advertise the flows it owns (see SetFl...

🚀 With this change, you can now build distributed computing networks on top of Flowstate.

The best part? The advertisement logic is powered by Flowstate itself. Nodes commit their state, others subscribe.

PR 👉 github.com/makasim/flow...

#golang #distributedcomputing #workflow

New blog post with some future plans related to #BOINC Central: aenbleidd.github.io/2025.07.11.h...

#DistributedComputing #VolunteerComputing #GridComputing #CitizenScience

Webinar: Creating Certainty in the Age of Agentic AI Learn how to build, run, and evaluate with certainty, scale and resilience.

🚨 Last chance to register! 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗖𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗴𝗲 𝗼𝗳 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜. The agentic era is here, and with it comes new uncertainty from #AI—the enemy of any SLA!

Join us tomorrow: content.akka.io/webinar-crea...

#AgenticAI #Agents #DistributedComputing #Technology

SETI@home just hit a major milestone! 💥

Two new papers have been accepted to The Astronomical Journal: one on data processing & detection, and another on candidate analysis and findings.
setiathome.berkeley.edu/forum_thread...

#BOINC #SETI #VolunteerComputing #DistributedComputing #GridComputing

𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝘁𝗵𝗲 𝗔𝗸𝗸𝗮 𝗦𝗗𝗞 is now live! This 𝗳𝗿𝗲𝗲 course walks you through the core concepts and components of the Akka SDK with short, practical lessons and built-in coding exercises. 𝗡𝗼 𝘀𝗲𝘁𝘂𝗽 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱.

𝗚𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 ➔ akkademy.akka.io/learn/course...
#distributedcomputing #java #engineering #developer