#gpuprogramming نتائج البحث
Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-architectu… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize…



This has to be one of the best GPU programming resources I've found - the GPU Glossary from Modal breaks down complex concepts with clear visuals and explanations, from CUDA architecture to Tensor Cores to CTAs. modal.com/gpu-glossary




Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-architectu… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize…



> this is how you map out a 2x GPU PCIe layout > every builder needs to know this cold > Buy a GPU is almost here > and it’s lane-checking all your builds —Buy a GPU, The Movement

NEWS: Introducing NVIDIA Rubin CPX — a new class of GPU purpose-built to handle million-token coding and generative video applications with groundbreaking speed and efficiency. Read more ➡️ nvda.ws/4pcjYau #AIInfraSummit #NVIDIARubin

Some resources about GPUs I found good as a noob in GPU programming, 1. jax-ml.github.io/scaling-book/g… 2. modal.com/gpu-glossary/p… 3. multimodalai.substack.com/p/the-mlai-eng… 4. bytesofintelligence.substack.com/p/maximizing-g… 5. youtube.com/playlist?list=…
We improved @cline, a popular open-source coding agent, by +15% accuracy on SWE-Bench — without retraining LLMs, changing tools, or modifying Cline's architecture. We achieved this simply through optimizing its ruleset, in ./clinerules — a user defined section for developers to…

📝 New Blog Post 📝 I spent the summer diving into TSL and WebGPU, porting over my favorite shader work along the way This article compiles all my learnings, alongside many Compute Shader applications and practical TSL shader patterns blog.maximeheckel.com/posts/field-gu…

Starting competitive programming again. This time programming GPUs to make em brr by shaping my code around big-O:

GPU computing before CUDA was *weird*. Memory primitives were graphics shaped, not computer science shaped. Want to do math on an array? Store it as an RGBA texture. Fragment Shader for processing. *Paint* the result in a big rectangle.


BREAKING: NVIDIA just announced Rubin CPX, a new class of GPU purpose-built for massive-context processing. Rubin CPX works hand in hand with NVIDIA Vera CPUs and Rubin GPUs inside the new NVIDIA Vera Rubin NVL144 CPX platform. This enables AI systems to handle million-token…

came across a gem of a channel for learning gpu programming, covers > kernel basics > code simple neural network by just using cuda > cuda memory > performance factors in GPU wonder why these type channels and videos are so underappreciated

I started writing this programming guide a little more than 1y ago and I am still convinced that #WebGPU is a great choice for learning #graphics programming even for #Desktop use! Reasons follow 🧵⤵️ (The guide: eliemichel.github.io/LearnWebGPU )

4 strategies for Multi-GPU training, visually explained:
AMD announced a new ray-tracing gaming GPU core. AMD claims its next-gen Radeon GPU will adopt a "brand-new rendering approach" for ray tracing and path tracing in games, using a dedicated hardware block.

⚡ Built my own graphics engine: Asthrarisine Sounds fun? Reality = invisible meshes, memory bugs & shader headaches. But here’s what made it work: #OpenGL #GraphicsEngine #GPUProgramming #GLTF #GameDev #ShaderProgramming
GPU programming: DAY 0 inspired by @sadernoheart and @elliotarledge I’m joining the gang of sharing daily progress and things that may be helpful GOAL: get extremely good at GPU programming REASON: want + can so weekend + today (let's include head start):


GPU PROGRAMMING | Callable Shader Binding Table | youtu.be/m1F6QBkgSts #gpu #gpuprogramming #programgpu #hpc #vulkan #vulkanapi #computergraphics #raytracing #nvidia #amd #intel #cudaeducation
youtube.com
YouTube
VULKAN API DISCUSSION | Ray Tracing 8.1 | Callable Shader Binding...
RAY TRACING PROGRAMMING | Shader Binding Table | youtu.be/LtJBt84tn6Y #computergraphics #gpuprogramming #vulkan #vulkanapi #hpc #raytracing #graphics #visualarts #photoshop #shaderbindingtable #rtx #nvidia #amd #intel #cudaeducation
youtube.com
YouTube
VULKAN API DISCUSSION | Ray Tracing 4.2 | Shader Binding Table...
CPU rendering vs. GPU rendering youtu.be/FFQQNvSaIFI?si… #gpu #gpuprogramming #nvidia #intel #amd #parallelprocessing #cuda #computergraphics #graphics #dataviz #compute #hpc #rendering #cpu #render #cudaeducation
youtube.com
YouTube
Terrain & Ocean Rendering Using CUDA
RAY TRACING PROGRAMMING | Shader Binding Table | youtu.be/LtJBt84tn6Y #computergraphics #gpuprogramming #vulkan #vulkanapi #hpc #raytracing #graphics #visualarts #photoshop #shaderbindingtable #rtx #nvidia #amd #intel #cudaeducation
youtube.com
YouTube
VULKAN API DISCUSSION | Ray Tracing 4.2 | Shader Binding Table...
@nvidia GPU bootcamp in the Claustro of @URosario. @HPCCol growing stronger. #HPC #GPUProgramming #OpenACC

Each common operation is implemented as its own .cu file—modular. intriguing. #CUDA #NVIDIA #GPUProgramming #libcudf

"Need better CUDA textbooks. 'Programming Massively Parallel Processors' is a good intro. I've created C/CUDA C implementations for first 3 chapters. Check book & my GitHub repo for details. #CUDA #GPUprogramming"

Compilation errors when using OpenACC with g++ 10 stackoverflow.com/questions/6542… #openacc #gpuprogramming #g++ #compilererrors #cpp

#GPUProgramming - Day 07: 🔧 #CPU Hazards 101 🚧: Ever heard of #Register Renaming & Out-of-Order Execution? They tackle structural hazards, ensuring smooth sailing for instructions. Watch out for Data Hazards (#RAW, #WAR, #WAW) in #MIPS, but fear not! #COA #LearnInPublic



#GPUProgramming - Day 02: 🔄 Exploring CPU architectures! #RISC, like #ARM & #Power, opts for efficiency with many registers. #CISC, exemplified by #Intel 8086, prioritizes simplicity, offering diverse, complex instructions. RISC excels in energy efficiency. #COA #LearnInPublic


#GPUProgramming - Day 03: 🧠 CPUs: Processors adapt with DISA. #CPU's core duo - Control Unit & Datapath. Datapath: Registers, ALU, Buses, Multiplexers – a data symphony! 🔄 Follow the Instruction Execution Cycle: Fetch ➡️Decode➡️Execute➡️Store➡️ Update PC. 🕹️ #LearnInPublic


#GPUProgramming - Day 01: 🚀 Exploring RISC architecture: Simplified, optimized instructions in one clock cycle. 🔄 Bye, CISC complexity! 🏎️ Registers rule, boosting speed. 🤖💡 Compiler-friendly design, slick pipelining for simultaneous processing! 🕵️♂️ #COA #RISC #LearnInPublic

NSIGHT GRAPHICS TUTORIAL: amzn.to/2Qffvpl | Vulkan, OpenGL, Direct 3D profiling and debugging | #graphicsprogramming #gpuprogramming #gpgpu #howtoprogram #howtocode #computerprogramming #howtowriteaprogram #siliconvalley #nsightgraphicstutorial #videowalkthrough

#GPUProgramming - Day 08: 🚀 Explored #computerarchitecture today! 🖥️ Control Hazards tackle branch prediction, #Pentium FDIV bug a classic example. 💡 Memory #Hierarchy is key—#RAM, #cache levels (L1, L2, L3), and storage devices play crucial roles. 🔄🌐 #Memory #LearnInPublic


"10 days into CUDA, and I’ve earned my first badge of honor! 🚀 From simple kernels to profiling, every day is a step closer to mastering GPU computing. Onward to 100! #CUDA #GPUProgramming #100DaysOfCUDA"

#GPUProgramming - Day 04: 🕰️ Dive into processor architectures! 🧠 Single-cycle execution, one clock cycle per instruction, demands a versatile datapath. 🔄 Multi-cycle instructions break it down for a more intricate dance with time. ⏳ #ComputerArchitecture #LearnInPublic 🚀


#GPUProgramming - Day 05: 🚀 Pipelining in computer architecture boosts performance by dividing instruction execution into stages. Techniques like forwarding, branch prediction, and superscalar processors enhance parallelism.💻🌐 #ComputerArchitecture #Pipelining #LearnInPublic

#GPUProgramming - Day 06: 🔍 Diving into computer architecture! 🖥️ Structural hazards arise when hardware resources are in high demand, causing contention among instructions. Data hazards? RAW, WAR, WAW – the battle for data paths and registers! 💡 #COA #LearnInPublic

And this was day 3 of the DL & #GPUprogramming course @LRZ_DE @HLRS_HPC @Uni_Stuttgart @NVIDIAAI DLI, with the grande finale: we learnt how to employ distributed stoch. gradient descent w/ multi-GPU, @TensorFlow & #Horovod @UberAILabs @LFAIDataFdn🎉😍highly recommended course!

VULKAN VALIDATION LAYERS TUTORIAL: amzn.to/38I5uY6 | the most efficient way to learn about vulkan validation layers on the internet. | video walkthrough (133 min) | #computergraphicsapi #opengl #gpuprogramming #framerate #graphicsrendering #dataviz #computersimulation

🚀 Exciting Learning Opportunity! 🚀 For more details and registration: events.eurocc.lu/meluxina-intro… #GPUProgramming #CUDA #Supercomputing #ScientificComputing #MeluXina #Luxembourg

New to GPU programming? Want to boost your NVIDIA CUDA efficiency? Check out this must-read blog post for essential techniques and expert tips! Get ready to unleash the full power of NVIDIA GPUs. #GPUprogramming #NVIDIA #CUDAefficiency ift.tt/6eYjOno

🚀Struggling to set up Nvidia's OpenCL on Linux? This step-by-step guide covers it all: ✅What is ICD Loader? ✅Installing Nvidia’s OpenCL & headers ✅Installing clinfo for validation 🎥Watch now: youtu.be/BIQOz5dfyoY #OpenCL #Linux #GPUProgramming #Nvidia #TheWolfAround

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