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#parallelalgorithms risultati di ricerca

Kangwook_Lee's profile picture. UW Madison / KRAFTON AI
Kangwook Lee
@Kangwook_Lee
16 ott

DLLMs seem promising... but parallel generation is not always possible Diffusion-based LLMs can generate many tokens at different positions at once, while most autoregressive LLMs generate tokens one by one. This makes diffusion-based LLMs highly attractive when we need fast…

Kangwook_Lee's tweet image. DLLMs seem promising... but parallel generation is not always possible Diffusion-based LLMs can generate many tokens at different positions at once, while most autoregressive LLMs generate tokens one by one. This makes diffusion-based LLMs highly attractive when we need fast…
Kangwook_Lee's tweet image. DLLMs seem promising... but parallel generation is not always possible Diffusion-based LLMs can generate many tokens at different positions at once, while most autoregressive LLMs generate tokens one by one. This makes diffusion-based LLMs highly attractive when we need fast…
Kangwook_Lee's tweet image. DLLMs seem promising... but parallel generation is not always possible Diffusion-based LLMs can generate many tokens at different positions at once, while most autoregressive LLMs generate tokens one by one. This makes diffusion-based LLMs highly attractive when we need fast…
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thinkymachines's profile picture. Thinking, beeping, and booping.
Thinking Machines
@thinkymachines
26 set

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

thinkymachines's tweet image. Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…
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Gradient_HQ's profile picture. Building open intelligence — assembling, scaling, and evolving intelligence collectively.
Gradient
 @Gradient_HQ
2 ago

Intelligence has been locked in walled gardens. Today, we’re opening the gates. Parallax now runs in Hybrid mode, with Macs and GPUs serving large models together in a truly distributed framework.

Gradient_HQ's tweet image. Intelligence has been locked in walled gardens. Today, we’re opening the gates. Parallax now runs in Hybrid mode, with Macs and GPUs serving large models together in a truly distributed framework.
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aoTheComputer's profile picture. The hyper parallel computer is here.
ao
@aoTheComputer
2 mag 2024

In computer science, there are two general ways to achieve parallel execution: shared memory and message passing. While most blockchains opt for shared memory, ao takes an innovative approach by passing messages. How does it work? 👇

aoTheComputer's tweet image. In computer science, there are two general ways to achieve parallel execution: shared memory and message passing. While most blockchains opt for shared memory, ao takes an innovative approach by passing messages. How does it work? 👇
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01Camron's profile picture. @Eagles @Dodgers @okcthunder
👎🏾
 @01Camron
23 h

Dijkstra's Algorithm Using Priority Queue It finds shortest paths from a source to all nodes in positive weighted graphs using a min heap. It processes nodes by shortest distance, updating neighbors when shorter paths are found

01Camron's tweet image. Dijkstra's Algorithm Using Priority Queue It finds shortest paths from a source to all nodes in positive weighted graphs using a min heap. It processes nodes by shortest distance, updating neighbors when shorter paths are found
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p1rallels's profile picture. going in circles #GG33 / all of #D33P / programming / AI / ML
p1rallels
 @p1rallels
18 h

workflow i really like: 1. plan a todo 2. assess for parallel development 3. parallel.md 4. @AmpCode read and todo.md, spin up as many agents as needed and go ahead

p1rallels's tweet image. workflow i really like: 1. plan a todo 2. assess for parallel development 3. parallel.md 4. @AmpCode read and todo.md, spin up as many agents as needed and go ahead
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Basith_AI's profile picture. CEO of ParallelAI
Basith #ParallelAI
 @Basith_AI
24 h

This seems like a solid idea, kind of a meta transformer approach for LLMs to increase the efficency of fine tuning @Basith_AI @ParallelAIx $PAI arxiv.org/html/2501.0625…

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ofrastsenre's profile picture. that appears…untrue!
dr doom
 @ofrastsenre
17 ott

implemented mapreduce based on google's 2004 paper built 3 execution modes: - sequential - parallel - distributed benchmarked on a text file with 1 million lines - sequential => 20.8s - parallel => 15.8s - distributed => 26.3s (2 workers)

ofrastsenre's tweet image. implemented mapreduce based on google's 2004 paper built 3 execution modes: - sequential - parallel - distributed benchmarked on a text file with 1 million lines - sequential => 20.8s - parallel => 15.8s - distributed => 26.3s (2 workers)
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Pi_Squared_Pi2's profile picture. Beyond Blockchain. An infinitely scalable network. Powering the future of instant payments.
Pi Squared
@Pi_Squared_Pi2
9 h

Blockchains make every transaction wait its turn. FastSet settles them all in parallel. The result: infinite scalability Learn more ↓ pi2.network/papers/fastset

Pi_Squared_Pi2's tweet image. Blockchains make every transaction wait its turn. FastSet settles them all in parallel. The result: infinite scalability Learn more ↓ pi2.network/papers/fastset
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ryanchenkie's profile picture. ✌️ Devrel @prisma and teaching web dev @holodeck_run
Ryan Chenkie
@ryanchenkie
21 mag 2019

If you're using async await, you might be running async calls sequentially that can actually be done in parallel. Here's one way you can run them in parallel to speed things up 👌

ryanchenkie's tweet image. If you're using async await, you might be running async calls sequentially that can actually be done in parallel. Here's one way you can run them in parallel to speed things up 👌
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karpathy's profile picture. Building @EurekaLabsAI. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets.
Andrej Karpathy
@karpathy
4 h

Nice, short post illustrating how simple text (discrete) diffusion can be. Diffusion (i.e. parallel, iterated denoising, top) is the pervasive generative paradigm in image/video, but autoregression (i.e. go left to right bottom) is the dominant paradigm in text. For audio I've…

nathanbarrydev's profile picture. Man in the Arena Allocator. Prev @Apple, CS + Math @UTAustin, @zfellows
Nathan Barry
@nathanbarrydev
6 h

BERT is just a Single Text Diffusion Step! (1/n) When I first read about language diffusion models, I was surprised to find that their training objective was just a generalization of masked language modeling (MLM), something we’ve been doing since BERT from 2018. The first…

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paraga's profile picture. founder/ceo https://t.co/KLxULH5Io7, device following @vintweeta
Parag Agrawal
@paraga
26 set

Added the parallel search api to the chart for completeness.

paraga's tweet image. Added the parallel search api to the chart for completeness.
perplexity_ai's profile picture. Curiosity changes everything. Download our free app on iOS, Mac, Windows, and Android: https://t.co/BBZ1kG0TVG
Perplexity
@perplexity_ai
25 set

Perplexity Search API achieves leading quality across single-step and deep research benchmarks, consistently outperforming competitors.

perplexity_ai's tweet image. Perplexity Search API achieves leading quality across single-step and deep research benchmarks, consistently outperforming competitors.
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Prathkum's profile picture. I talk about web, AI, API, and social • DevRel @APILayer • Prev @Rapid_API @HyperspaceAI
Pratham
@Prathkum
21 mar 2022

I found this great website. Learn algorithms through visualization. 🚀 🔗 algorithm-visualizer.org

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mrsiipa's profile picture. ml perf @fal - learning deeply about life one gradient step at a time - personal blog: https://t.co/TYdFfUBImf
maharshi
@mrsiipa
19 dic

i have implemented data parallelism in around 100 lines of code in smolgrad that lets you train models in a distributed manner across the CPU cores/processes.

mrsiipa's tweet image. i have implemented data parallelism in around 100 lines of code in smolgrad that lets you train models in a distributed manner across the CPU cores/processes.
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myainotez's profile picture. Entropy Preservation Officer Bs CS&EE , AI/ML Engineer in Automotive
Sinatras
@myainotez
18 ott

PMPP-Eval is live, together with pmpp env and dataset, Releasing "Programming Massively Parallel Processors" book turned into environment that lets your LLM practice over QA/Coding exercises. Touched the whole process of going from a book to a optimized CUDA env over on blog.

myainotez's tweet image. PMPP-Eval is live, together with pmpp env and dataset, Releasing "Programming Massively Parallel Processors" book turned into environment that lets your LLM practice over QA/Coding exercises. Touched the whole process of going from a book to a optimized CUDA env over on blog.
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JOTBConf's profile picture. An international rendezvous that brings developers, DevOps, and Data Scientists together around Big Data On The Beach! 14-16 May 2025 at Shorlin, Malaga city!
J On The Beach
@JOTBConf
24 mag 2018

@zlehoczky explains what your can use FPGAs for, a fundamental part of the Hastlayer project 😉 #JOTB2018 #ParallelAlgorithms

JOTBConf's tweet image. @zlehoczky explains what your can use FPGAs for, a fundamental part of the Hastlayer project 😉 #JOTB2018 #ParallelAlgorithms
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AndrewYNg's profile picture. Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
Andrew Ng
@AndrewYNg
28 ago

Parallel agents are emerging as an important new direction for scaling up AI. AI capabilities have scaled with more training data, training-time compute, and test-time compute. Having multiple agents run in parallel is growing as a technique to further scale and improve…

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syaq96382486's profile picture. Gradient @ AI Ambassador #EdgeComputing @Gradient_HQ @gradientintern Parallax: https://t.co/rrnwDXVbVW Lattica: https://t.co/wB4jzMMRk9
B'Youn ./
 @syaq96382486
13 h

🧩 Introducing Parallax – the first truly distributed inference engine. It stitches together heterogeneous hardware (GPU, CPU, edge) via P2P to run LLMs as a single, seamless service. Try it now chat.gradient.network @Gradient_HQ #Inference #EdgeAI

syaq96382486's tweet image. 🧩 Introducing Parallax – the first truly distributed inference engine. It stitches together heterogeneous hardware (GPU, CPU, edge) via P2P to run LLMs as a single, seamless service. Try it now chat.gradient.network @Gradient_HQ #Inference #EdgeAI
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Defi_Rocketeer's profile picture. OG Investor $BTC $ETH | Web3 Writer | KOL Manager | Partner of @ton_blockchain | PM: https://t.co/WUoExkO67g Work at: https://t.co/oIC5o67qU9
Defi Rocketeer
@Defi_Rocketeer
11 h

🔝 Block-STM: The performance heart of Aptos I’ve always been curious about how @Aptos can process thousands of transactions per second while still maintaining absolute accuracy. → The secret lies in Block-STM: the parallelization technology that makes Aptos stand out among…

Defi_Rocketeer's tweet image. 🔝 Block-STM: The performance heart of Aptos I’ve always been curious about how @Aptos can process thousands of transactions per second while still maintaining absolute accuracy. → The secret lies in Block-STM: the parallelization technology that makes Aptos stand out among…
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quantumpage's profile picture. Quantum Page is one of the most prestigious publishers of Engineering Books located in Sahibabad, U.P incorporated in 2005.
Quantum Series
 @quantumpage
24 dic 2015

#ParallelAlgorithms #books are available with unique #syllabus for #UPTU #students of branch CS & IT.

quantumpage's tweet image. #ParallelAlgorithms #books are available with unique #syllabus for #UPTU #students of branch CS & IT.
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Algorithms_MDPI's profile picture. An #OpenAccess journal on #algorithms and applications | published by @MDPIOpenAccess | indexed in #ESCI, #Ei | Editor-in-Chief: Prof. Dr. Frank Werner
Algorithms MDPI
 @Algorithms_MDPI
28 feb

#Daily_Share Welcome to read and share the newly published paper "A Massively Parallel SMC Sampler for Decision Trees". Read via: mdpi.com/1999-4893/18/1… #parallelalgorithms #machinelearning #Bayesiandecisiontrees #sequentialMonteCarlosamplers #MarkovChainMonteCarlo

Algorithms_MDPI's tweet image. #Daily_Share Welcome to read and share the newly published paper "A Massively Parallel SMC Sampler for Decision Trees". Read via: mdpi.com/1999-4893/18/1… #parallelalgorithms #machinelearning #Bayesiandecisiontrees #sequentialMonteCarlosamplers #MarkovChainMonteCarlo
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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
7 lug 2024

🔀 Explore the power of parallelism in algorithm design. Split tasks, conquer problems faster. #ParallelAlgorithms #Coding

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
21 giu 2024

🔀 Explore parallelism. Some problems can be solved faster by breaking them into parallel tasks and leveraging multiple processors. #ParallelAlgorithms #Efficiency

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
19 giu 2024

🔀 Explore parallelism in algorithm design. Some problems can be solved faster by breaking them into parallel tasks and leveraging multiple processors. #ParallelAlgorithms #Coding

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
29 mag 2024

🔀 Explore the power of parallelism in algorithm design. Split tasks, conquer problems faster. #ParallelAlgorithms #Coding

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
5 mag 2024

🔀 Explore the power of parallelism in algorithm design. Split tasks, conquer problems faster. #ParallelAlgorithms #Coding

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gastronomy's profile picture. addict to vibe coding and experimenting with various LLMs.
Tanat Tonguthaisri
@gastronomy
2 mag 2024

Discover the benefits of asynchronous many-task runtimes for parallel algorithms in our new blog post. Learn from our multidimensional FFT case study and understand how to optimize performance. Read more at: bit.ly/3WqTshI #parallelalgorithms #asynchronousruntimes #FFTw

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
25 mar 2024

🔀 Explore the power of parallelism in algorithm design. Split tasks, conquer problems faster. #ParallelAlgorithms #Coding

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
21 mar 2024

🔀 Explore the power of parallelism in algorithm design. Split tasks, conquer problems faster. #ParallelAlgorithms #Coding

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worldscientific's profile picture. World Scientific is a leading independent publisher of academic and professional books and journals.
World Scientific
@worldscientific
4 mar 2024

This book introduces #parallelalgorithms and the underpinning techniques to realize #parallelization. The emphasis is on designing algorithms within a high-level #programming language's timeless and abstract context. Quote WSTWTR35 to enjoy a 35% off this title today!

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ToadCoder's profile picture. Software Engineer | Writes about tech jobs, interviews, programming | Hit follow button to be the best coder in town
CoderToad
 @ToadCoder
18 feb 2024

🔀 Explore parallelism. Some problems can be solved faster by breaking them into parallel tasks and leveraging multiple processors. #ParallelAlgorithms #Efficiency

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Nessun risultato per "#parallelalgorithms"
quantumpage's profile picture. Quantum Page is one of the most prestigious publishers of Engineering Books located in Sahibabad, U.P incorporated in 2005.
Quantum Series
 @quantumpage
24 dic 2015

#ParallelAlgorithms #books are available with unique #syllabus for #UPTU #students of branch CS & IT.

quantumpage's tweet image. #ParallelAlgorithms #books are available with unique #syllabus for #UPTU #students of branch CS & IT.
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JOTBConf's profile picture. An international rendezvous that brings developers, DevOps, and Data Scientists together around Big Data On The Beach! 14-16 May 2025 at Shorlin, Malaga city!
J On The Beach
@JOTBConf
24 mag 2018

@zlehoczky explains what your can use FPGAs for, a fundamental part of the Hastlayer project 😉 #JOTB2018 #ParallelAlgorithms

JOTBConf's tweet image. @zlehoczky explains what your can use FPGAs for, a fundamental part of the Hastlayer project 😉 #JOTB2018 #ParallelAlgorithms
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IT4Innovations's profile picture. Official Twitter profile of IT4Innovations National Supercomputing Center
IT4Innovations
 @IT4Innovations
21 mar 2023

Today at 4:30 pm ➡️ Parallel Session 01 - Paving the Path for #DigitalTwins in #HPC - Drottningporten, with our colleague Tomas Karasek, the Head of our #ParallelAlgorithms #ResearchLab & the coordinator of @EuroCC_Czechia #EuroHPCSummit2023

IT4Innovations's tweet image. Today at 4:30 pm ➡️ Parallel Session 01 - Paving the Path for #DigitalTwins in #HPC - Drottningporten, with our colleague Tomas Karasek, the Head of our #ParallelAlgorithms #ResearchLab & the coordinator of @EuroCC_Czechia #EuroHPCSummit2023
IT4Innovations's tweet image. Today at 4:30 pm ➡️ Parallel Session 01 - Paving the Path for #DigitalTwins in #HPC - Drottningporten, with our colleague Tomas Karasek, the Head of our #ParallelAlgorithms #ResearchLab & the coordinator of @EuroCC_Czechia #EuroHPCSummit2023
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IT4Innovations's profile picture. Official Twitter profile of IT4Innovations National Supercomputing Center
IT4Innovations
 @IT4Innovations
30 mar 2017

Czech MolDyn (molecular dynamics) team members. #math #physics #parallelalgorithms.More info about their research at moldyn.vsb.cz

IT4Innovations's tweet image. Czech MolDyn (molecular dynamics) team members. #math #physics #parallelalgorithms.More info about their research at moldyn.vsb.cz
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UIowaCS's profile picture. Department of Computer Science The University of Iowa https://t.co/cO00Bc3kvd
UIowa Computer Science
 @UIowaCS
10 apr 2020

📣Jeff Hajewski, advised by Prof. Suely Oliveira, will be defending his #DoctoralThesis Monday 4/13 11:30 CST: "New #ParallelAlgorithms for #SupportVectorMachines & #NeuralArchitectureSearch." Abstract @ bit.ly/hajewski_final… @UIGradCollege @DaretoDiscover #ML #UIowaGrad20 #PhD

UIowaCS's tweet image. 📣Jeff Hajewski, advised by Prof. Suely Oliveira, will be defending his #DoctoralThesis Monday 4/13 11:30 CST: "New #ParallelAlgorithms for #SupportVectorMachines & #NeuralArchitectureSearch." Abstract @ bit.ly/hajewski_final… @UIGradCollege @DaretoDiscover #ML #UIowaGrad20 #PhD
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Algorithms_MDPI's profile picture. An #OpenAccess journal on #algorithms and applications | published by @MDPIOpenAccess | indexed in #ESCI, #Ei | Editor-in-Chief: Prof. Dr. Frank Werner
Algorithms MDPI
 @Algorithms_MDPI
28 feb

#Daily_Share Welcome to read and share the newly published paper "A Massively Parallel SMC Sampler for Decision Trees". Read via: mdpi.com/1999-4893/18/1… #parallelalgorithms #machinelearning #Bayesiandecisiontrees #sequentialMonteCarlosamplers #MarkovChainMonteCarlo

Algorithms_MDPI's tweet image. #Daily_Share Welcome to read and share the newly published paper "A Massively Parallel SMC Sampler for Decision Trees". Read via: mdpi.com/1999-4893/18/1… #parallelalgorithms #machinelearning #Bayesiandecisiontrees #sequentialMonteCarlosamplers #MarkovChainMonteCarlo
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