Top Tweets for #ParallelComputing
VULKAN API DISCUSSION: PIPELINE VERTEX INPUT STATE | https://t.co/gxPug5VjgV | #vulkan #vulkanapi #gpu #semaphores #semaphore #gpu #programming #synchronization #parallelprocessing #parallelcomputing #nvidia #amd #rtx #intelarc #intelgpu #gpu
CUDA COOPERATIVE GROUPS: https://t.co/lG3lGFFAvz | A brief discussion about CUDA cooperative groups. #nvidia #cuda #cooperativegroups #cudacores #rtx #gtx #hpc #parallelprocessing #gpu #gpuprogramming #cudasm #parallelcomputing #cudac
GPU Programming | One Compute Pass vs. Two Compute Passes | Vulkan API | Computer Graphics https://t.co/lPkJ4iwxJy #computergraphics #vulkan #vulkanapi #gpu #gpus #gpuprogramming #nvidia #intel #amd #hpc #parallelprocessing #parallelcomputing #computepass #cpu #cudaeducation
NSIGHT COMPUTE TUTORIAL NOW AVAILABLE: https://t.co/opiimLU66q | #nvidia #cuda #cudakernel #nsight #nsightcompute #nsightsystems #nsighttutorial #nsighttutorials #nvidiagpu #cudac #parallelprocessing #profiler #applicationprofiler #parallelcomputing #gpuprogramming #rtx
GPU Programming | One Compute Pass vs. Two Compute Passes | Vulkan API | Computer Graphics https://t.co/lPkJ4iwxJy #computergraphics #vulkan #vulkanapi #gpu #gpus #gpuprogramming #nvidia #intel #amd #hpc #parallelprocessing #parallelcomputing #computepass #cpu #cudaeducation
VULKAN API DISCUSSION | New shape via intersection shader https://t.co/8Ocys44h9c #vulkan #vulkanapi #computergraphics #howtoprogram #howtocode #videogames #gpu #hpc #gpuprogramming #parallelcomputing #cudaeducation
VULKAN API DISCUSSION: PIPELINE VERTEX INPUT STATE | https://t.co/gxPug5VjgV | #vulkan #vulkanapi #gpu #semaphores #semaphore #gpu #programming #synchronization #parallelprocessing #parallelcomputing #nvidia #amd #rtx #intelarc #intelgpu #gpu
2 x Raspberry Pi 2 Model B stacked. I was using it for studying parallel computing some years ago, but thinking of reviving it. #raspberrypi2 #cluster #parallelcomputing
Most networks hand one machine a whole job and wait.
Here a single workload is cut into independent sub-tasks that run on many nodes at the same time.
Wall-clock time drops because the work was never serial to begin with.
#ParalleliX #AI #ParallelComputing
CUDA THREADS, BLOCKS, GRIDS EXPLAINED ---> https://t.co/kGeN4FwfT6 | Use your #nvidia #gpu to make your application faster | #cplusplus #csharp #cudac #cuda #parallelprocessing #cudakernel #parallelcomputing #hpc #cudathreads #cudablocks #dataprocessing
A node says it did the work. How do you know?
Every sub-task ships a SHA-256 commitment over its output. The coordinator checks the hash before anything settles on chain.
No proof, no settlement.
#ParalleliX #DePIN #ParallelComputing $PRLX
One screen where you spend PRLX on inference, and that spend pays the nodes serving it.
ParalleliX AI: a chat app on credits, running open-source models on the network's own GPU and CPU operators.
https://t.co/Bx4gbdM0cE
#ParalleliX #DePIN #ParallelComputing $PRLX
Round-robin sends work to whatever node is next in line. Slow.
The coordinator reads each sub-task and routes it to a node that can actually run it, matching hardware tier to the work before dispatch.
Right work, right node.
#ParalleliX #DePIN #ParallelComputing $PRLX
Three companies own most of the world's GPU capacity. That is the ceiling.
ParalleliX aggregates idle machines people already own into one programmable pool. No single owner, no waitlist, no lock-in.
Capacity nobody controls.
#ParalleliX #DePIN #ParallelComputing $PRLX
Most DePIN compute hands one job to one machine. That machine becomes the ceiling.
ParalleliX splits the workload into sub-tasks and runs them across many nodes at once.
One job is not one machine here.
#ParalleliX #DePIN #ParallelComputing $PRLX
An AI agent is only as decentralized as the hardware behind it.
ParalleliX AI runs open-source inference on community-run nodes, GPU and CPU worldwide, settled in PRLX.
The infra is the community. The agent runs on it.
#ParalleliX #DePIN #ParallelComputing $PRLX
Every prompt to ParalleliX AI becomes real compute.
Inference splits into sub-tasks and runs across operator GPU and CPU nodes worldwide, open-source models served on hardware people already own.
Inference, distributed.
#ParalleliX #DePIN #ParallelComputing $PRLX
No spreadsheet, no support ticket.
The operator console is live: connect your wallet and watch every node's uptime and reward weight in one screen.
Stake x tier x uptime, in the open.
https://t.co/xaYXPs68Fq
#ParalleliX #DePIN #ParallelComputing $PRLX
Idle compute earns nothing until something needs it.
ParalleliX AI runs open-source inference on the network's own nodes. Operators get real jobs, not theory.
Demand is the missing piece. We built it in.
#ParalleliX #DePIN #ParallelComputing $PRLX
VULKAN API DISCUSSION | New shape via intersection shader https://t.co/8Ocys44h9c #vulkan #vulkanapi #computergraphics #howtoprogram #howtocode #videogames #gpu #hpc #gpuprogramming #parallelcomputing #cudaeducation
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