#distributedprocessing hasil pencarian

Control Plane for Distributed Proving This part (1/5) isn’t about scheduling or marketplace logic yet (I'll be trying to extend this though) it’s about building visibility first. I tried to built a distributed job coordination dashboard @ziskvm , helps to observe and manage…


Scalability! But at what cost? This paper is an absolute classic because it explores the underappreciated tradeoffs of distributing systems. It asks about the COST of distributed systems--the Configuration that Outscales a Single Thread. The question is, how many cores does a…

petereliaskraft's tweet image. Scalability! But at what cost?

This paper is an absolute classic because it explores the underappreciated tradeoffs of distributing systems.

It asks about the COST of distributed systems--the Configuration that Outscales a Single Thread. The question is, how many cores does a…

“Nobody really teaches distributed systems properly.” Every “system design” course online stops at load balancers and caching layers. At best, they’ll mention Kafka, Redis, or microservices — but never explain why distributed systems behave the way they do. The hard parts —…

AkhilAiri's tweet image. “Nobody really teaches distributed systems properly.”

Every “system design” course online stops at load balancers and caching layers. 
At best, they’ll mention Kafka, Redis, or microservices — but never explain why distributed systems behave the way they do.

The hard parts —…

Text. Image. Audio. All powered by the same distributed network. 🎨

distributeai's tweet image. Text. Image. Audio.
All powered by the same distributed network. 🎨

We've reached a major milestone in fully decentralized training: for the first time, we've demonstrated that a large language model can be split and trained across consumer devices connected over the internet - with no loss in speed or performance.

PluralisHQ's tweet image. We've reached a major milestone in fully decentralized training: for the first time, we've demonstrated that a large language model can be split and trained across consumer devices connected over the internet - with no loss in speed or performance.

Continuous diffusion had a good run—now it’s time for Discrete diffusion! Introducing Anchored Posterior Sampling (APS) APS outperforms discrete and continuous baselines in terms of performance & scaling on inverse problems, stylization, and text-guided editing.


5422 tests are queued 91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

remcomulder's tweet image. 5422 tests are queued  91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

ブロックチェーン × #kamui4d での分散型並列駆動開発やってみた! 現在の状態はブロックチェーンで中央サーバーを設置せずに分散保持、gitはworktree生成と過去アーカイブの役割 マシンリソースを分けてそれぞれで生成 接続はwinとmacをtailscale +…


[Interview: UTOKYO VOICES] Software innovation pushes the limits of distributed computing Kenjiro Taura, Professor, Information & Communication Engineering, Graduate School of Information Science & Technology #DistributedProcessing #Algorithm u-tokyo.ac.jp/focus/en/featu…


Do you want to make your programs easier to parallelise? Yes, you do. Do you enjoy debugging concurrency? I bet you don't. Good news: you can now turn your favourite sequential structures into high-throughput concurrent ones without writing a single line of concurrent code ⇒

ilyasergey's tweet image. Do you want to make your programs easier to parallelise? Yes, you do. 

Do you enjoy debugging concurrency? I bet you don't. 

Good news: you can now turn your favourite sequential structures into high-throughput concurrent ones without writing a single line of concurrent code ⇒

You (probably) don't need Micro-Frontends This is the "Distributed and Decoupled Spectrum" Make sure that you explore all the other options before trying to implement a fully distributed system

Infoxicador's tweet image. You (probably) don't need Micro-Frontends

This is the "Distributed and Decoupled Spectrum" 

Make sure that you explore all the other options before trying to implement a fully distributed system

We just put out a key step for making distributed training work at larger and larger models: Scaling Laws for DiLoCo TL;DR: We can do LLM training across datacenters in a way that scales incredibly well to larger and larger models!

MatharyCharles's tweet image. We just put out a key step for making distributed training work at larger and larger models: Scaling Laws for DiLoCo

TL;DR: We can do LLM training across datacenters in a way that scales incredibly well to larger and larger models!

Wow! RT @remcomulder: 5422 tests are queued 91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

borlip's tweet image. Wow! RT @remcomulder: 5422 tests are queued  91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

Introducing Parallax, the first fully distributed inference and serving engine for large language models. Try it now: chat.gradient.network 🧵


5 Distributed Concepts Every Developer Should Know swequiz.com/blog/5-core-di…

bibryam's tweet image. 5 Distributed Concepts Every Developer Should Know
swequiz.com/blog/5-core-di…

🤖💻 What's US patent US20220147844A1 about? 🧠🔬 It's a method for distributing AI models for parallel processing. #AI #distributedprocessing #patent #patent #patents


Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing

JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing
JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing
JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing
JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing

#ForwardGuidance deleterious. #GroupThink! #DistributedProcessing unbundles away from a few central bankers to include #MarketParticipants? Think for oneself? Less lazy?

Two years ago, when CPI was already above 5%, the Fed was forecasting rate hikes to only 1% by the end of 2023. Even when inflation was staring them right in the face they did not see it coming. Which is why you shouldn't put any weight on their forecasts today or any other day.

charliebilello's tweet image. Two years ago, when CPI was already above 5%, the Fed was forecasting rate hikes to only 1% by the end of 2023. Even when inflation was staring them right in the face they did not see it coming. Which is why you shouldn't put any weight on their forecasts today or any other day.


Powell triggers SPX spike higher: This is not an environment where the FOMC should provide lots of forward guidance. Then says this... I DON'T SEE INFLATION BACK AT 2% UNTIL ABOUT 2025. That's like calling for a stealth pause and raising the inflation goalposts same breath.



Truly believe #Fed would rather #MarketParticipants decide for themselves? #DistributedProcessing more apropos #CentralPlanning?

Fed Vice Chair nominee Phillip Jefferson says, “skipping a rate hike at a coming meeting would allow the Committee to see more data before making decisions about the extent of additional policy firming.” That seems in line with Powell's more neutral view, but at odds with several…



#ChairPowell told #MarketParticipants to make own choices? #DistributedProcessing more desirable #CentralPlanning. #ClevelandFed #StLouisFed swaying those not engaged in #ActiveListening? So be it? #BuyWindow till #IdesOfMarch?

So cute the way the market is spooked by nonvoting members of the fed. I bet most traders don’t even realize that. If you’re nonvoting shhhhhhhhhh please, grownups are trading ;)



"where we need to expand our thinking beyond centralization & cloud, & toward location & #distributedprocessing for #lowlatency & #realtime." Thomas Bittman, 2017, blogs.gartner.com/thomas_bittman…. Today we are achieving low latency and real-time processing > ioecorp.com/services-and-c….

IoECorp's tweet image. "where we need to expand our thinking beyond centralization & cloud, & toward location & #distributedprocessing for #lowlatency & #realtime." Thomas Bittman, 2017, blogs.gartner.com/thomas_bittman…. 

Today we are achieving low latency and real-time processing > ioecorp.com/services-and-c….

Tidak ada hasil untuk "#distributedprocessing"

5422 tests are queued 91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

remcomulder's tweet image. 5422 tests are queued  91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

Now published in its final version: Load (CS) and movement (fCO) signals from the insect leg are distributed into and processed by the same set of antagonistic premotor nonspiking interneurons 🦿🦗 #distributedprocessing #proprioception @JNeurophysiol journals.physiology.org/doi/abs/10.115…

bueschges_lab's tweet image. Now published in its final version: Load (CS) and movement (fCO) signals from the insect leg are distributed into and processed by the same set of antagonistic premotor nonspiking interneurons 🦿🦗 #distributedprocessing #proprioception @JNeurophysiol 
journals.physiology.org/doi/abs/10.115…

Wow! RT @remcomulder: 5422 tests are queued 91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

borlip's tweet image. Wow! RT @remcomulder: 5422 tests are queued  91 test tasks are being processed #ncrunch #v2 #DistributedProcessing

In May, I wrote on Folding@Home, a #distributedprocessing project running #protein dynamics #simulations on #diseases like #Covid19 (foldingathome.org). Just saw a live 3D image of a protein sim I'm working on! Join in, w/ my team: #TeamScott: bit.ly/2RdJkWG! #FAH

tangledscott's tweet image. In May, I wrote on Folding@Home, a #distributedprocessing project running #protein dynamics #simulations on #diseases like #Covid19 (foldingathome.org). Just saw a live 3D image of a protein sim I'm working on! Join in, w/ my team: #TeamScott: bit.ly/2RdJkWG! #FAH

Getting Started to Build Pipelines with Apache Beam by Roland Hewage buff.ly/37Dvof4 #BigData #ApacheBeam #DistributedProcessing #Pipeline #GoProgramming

eon01's tweet image. Getting Started to Build Pipelines with Apache Beam by Roland Hewage buff.ly/37Dvof4

#BigData #ApacheBeam #DistributedProcessing #Pipeline #GoProgramming

Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing

JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing
JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing
JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing
JordanJamesEtem's tweet image. Graph partitioning is the backbone of efficient distributed graph processing. By strategically dividing the graph into manageable segments, it optimizes parallel computing, enabling seamless scalability. #GraphPartitioning #DistributedProcessing

Join Hadoop The most powerful big datatool. Big Data Hadoop architects are among the highest paid professionals in the IT industry. Book a free demo class now. Interesting candidates can contact on 8587922214-16 #opensource #distributedprocessing #scalability #highavailability

apexindia's tweet image. Join Hadoop
The most powerful big datatool.
Big Data Hadoop architects are among the highest paid professionals in the IT industry. Book a free demo class now. Interesting candidates can contact on 8587922214-16
#opensource #distributedprocessing #scalability #highavailability

Distributed processing powers the cloud, blockchain, and much more. Here’s how it’s powering post production ▶️ bit.ly/3FYIEvU #distributedprocessing #postproduction #editing #mediacomposer #editor #avid

Avid's tweet image. Distributed processing powers the cloud, blockchain, and much more. Here’s how it’s powering post production

▶️ bit.ly/3FYIEvU

#distributedprocessing #postproduction #editing #mediacomposer #editor #avid

fyi @nigewillson @sallyeaves Someone should come up with a system - if it isn't there one already(?) - for #AI to parse human responses to solve hard questions. I can imagine a future with #DistributedProcessing, where humans are doing some of that decision processing.

TheOracleM's tweet image. fyi @nigewillson @sallyeaves Someone should come up with a  system - if it isn't there one already(?) - for #AI to parse human responses to solve hard questions.
I can imagine a future with #DistributedProcessing, where humans are doing some of that decision processing.

Getting Started to Build Pipelines with Apache Beam by Roland Hewage buff.ly/37Dvof4 #BigData #ApacheBeam #DistributedProcessing #Pipeline #GoProgramming

eralabsOfficial's tweet image. Getting Started to Build Pipelines with Apache Beam by Roland Hewage buff.ly/37Dvof4

#BigData #ApacheBeam #DistributedProcessing #Pipeline #GoProgramming

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