#gpuprogramming ผลการค้นหา
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"
                                            "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 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
                                            For maximum performance, firms often develop custom CUDA kernels. This involves writing low-level code to directly program the GPU's parallel cores, squeezing out every drop of efficiency for critical tasks. #CUDA #GPUProgramming
#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
                                            
                                            #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
                                            #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
                                            🚀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
                                            $AMD will train 100,000 STEM graduates in open-source GPU programming and grant 100,000 hours of free cloud access to Indian researchers and startups: ibn.fm/o5GJF #OpenSource #GPUProgramming #AIIndia
🚀 Exciting Learning Opportunity! 🚀 For more details and registration: events.eurocc.lu/meluxina-intro… #GPUProgramming #CUDA #Supercomputing #ScientificComputing #MeluXina #Luxembourg
                                            👉 Lockstep ≠ memory sync. That’s why you need __syncwarp() before other lanes consume the data. #CUDA #GPUProgramming #Warps
GPU PROGRAMMING | Callable Shader Binding Table | youtu.be/m1F6QBkgSts #gpu #gpuprogramming #programgpu #hpc #vulkan #vulkanapi #computergraphics #raytracing #nvidia #amd #intel #cudaeducation
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VULKAN API DISCUSSION | Ray Tracing 8.1 | Callable Shader Binding...
⚡ 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
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
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Terrain & Ocean Rendering Using CUDA
Don't just read! Learn CUDA by doing. Get practical experience through projects & code review. Use existing CUDA projects as learning aids. Hands-on application solidifies skills. #GPUProgramming 3/6
GPU PROGRAMMING | Callable Shader Binding Table | youtu.be/m1F6QBkgSts #gpu #gpuprogramming #programgpu #hpc #vulkan #vulkanapi #computergraphics #raytracing #nvidia #amd #intel #cudaeducation
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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
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VULKAN API DISCUSSION | Ray Tracing 4.2 | Shader Binding Table...
GPU PROGRAMMING | Callable Shader Binding Table | youtu.be/m1F6QBkgSts #gpu #gpuprogramming #programgpu #hpc #vulkan #vulkanapi #computergraphics #raytracing #nvidia #amd #intel #cudaeducation
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VULKAN API DISCUSSION | Ray Tracing 8.1 | Callable Shader Binding...
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…
                                                                            
                                                                            
                                                                            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
                                            One thing that can really improve your gposes is to take them in 4k. It makes small details a lot cleaner, and improves ADOF & MXAO/RTGI. You don't need a 4k monitor to do it, just a good enough GPU to handle it! 🧵on how to set this up for Nvidia graphics cards
                                            
                                            for people learning gpu programming and especially triton should check out liger kernel by linkedin it was released last year and built on top of triton to provide pre-optimized, ready-to-use implementations gpu optimization techniques specifically tailored for llm training
                                            Making a renderer go fast takes more than running a tool. It means profiling correctly, interpreting counters, and understanding GPU architecture. We’ve been working with Microsoft to improve PIX, and on Nov 20 we’ll share how to read what PIX is telling you and apply it to…
                                            @nvidia GPU bootcamp in the Claustro of @URosario. @HPCCol growing stronger. #HPC #GPUProgramming #OpenACC
                                            Pixel artists posting with this algorithm :
                                            Image Processing in Python ✅ Face Detection in Python In this post, I will show you how to detect faces in a image using Python. A Thread 🧵 👇
                                            Compilation errors when using OpenACC with g++ 10 stackoverflow.com/questions/6542… #openacc #gpuprogramming #g++ #compilererrors #cpp
                                            Integrated Intel Open Image Denoise into my hobby ray tracer. 😀 Here are the before and after images with 16 spp. For the code, see github.com/biroeniko/rayt…
                                            
                                            Stunning UI visuals in seconds. Cut design exploration time by 80% using new GPT-4o image gen. My secret process revealed: 1 – Choose 2 images references
                                            
                                            
                                            
                                            DirectX 12 light culling technique featured in GPU Pro 7 (+1 for using GENie :) github.com/kevinortegren/…
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