#gpuprogramming ผลการค้นหา
⚡ 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
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"
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
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...
"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
#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
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 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
$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
opensourceforu.com
AMD Expands Open Source GPU Programming In India With 100,000 Graduate Training And Free Cloud...
AMD will train 100,000 graduates in open source GPU programming and offer 100,000 hours of free cloud access in India, aiming to democratise AI development
🚀 Exciting Learning Opportunity! 🚀 For more details and registration: events.eurocc.lu/meluxina-intro… #GPUProgramming #CUDA #Supercomputing #ScientificComputing #MeluXina #Luxembourg
📣 Save the date. Join Dr. Wen-mei Hwu & Dr. Izzat El Hajj on May 28, 2025, at 10:00 AM PDT for a 1-hour webinar on teaching and accelerating #CUDA. Get insider tips, book updates, and expert advice. Register now ➡️ #CUDA #GPUProgramming #TechWebinar bit.ly/3YRAhOI
#NewBooks Gerassimos Barlas #Multicore and #GPUprogramming: An Integrated Approach 2nd Edition Morgan Kaufmann (August 2022) Blurb: "offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. >
#DataParallel #GPUProgramming and revolutionize the way you code! 💪 Want to learn more? Check out this book! 👉 [Amazon link] Hey @elonmusk, have you explored the potential of GPU programming in your space endeavors? 🚀🪐 Curious to hear your thoughts! #tech #innovation Hey…
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
Compilation errors when using OpenACC with g++ 10 stackoverflow.com/questions/6542… #openacc #gpuprogramming #g++ #compilererrors #cpp
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"
#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
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!
#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
Hello! I present you my work entitled "GPU-Acceleration of force decomposition in molecular dynamics" at @icstcf2020 #ICSTCF20Poster #GPUprogramming #NvidiaCUDA #UAMI Please visit wormius.github.io/poster-icstcf2… to see an animated version.
#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 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
Working on one of my last projects before graduating: a position based dynamics cloth simulator plugin for Unity parallelized on the GPU using compute shaders. Hoping to put it on the Asset store for free! @AssetStore @pjcozzi @shehzanm #Unity #AssetStore #GPUProgramming
We're happy to announce our first EuroCC@Turkey Computhon event! The problem for the first computhon will be on graph computations. Check details👇 compute.sabanciuniv.edu/index.php/comp… Registration Deadline 📅 July 8,2021 #hpc #gpuprogramming @sabanciu @METU_ODTU @TrubaUlakbim @TubitakUlakbim
was getting bored ... So I made custom CUDA kernels for vector addition with 6 levels of optimization from naive implementation to shared , tiling till vectorized ops here is the link github.com/AmanSwar/Kerne… #CUDA #GPUProgramming #AI
Something went wrong.
Something went wrong.
United States Trends
- 1. Rickey 2,325 posts
- 2. Waddle 3,455 posts
- 3. Big Balls 22.8K posts
- 4. Argentina 498K posts
- 5. #BeyondTheGates 5,528 posts
- 6. $HIMS 3,961 posts
- 7. Kings 157K posts
- 8. Olave 2,986 posts
- 9. Russell Westbrook 13.6K posts
- 10. Voting Rights Act 26.1K posts
- 11. Maybe in California N/A
- 12. Justice Jackson 18.5K posts
- 13. #ClockTower1Year N/A
- 14. #TrumpsShutdownDragsOn 5,997 posts
- 15. Hayley 5,198 posts
- 16. Aphrodite 4,444 posts
- 17. Veo 3.1 5,792 posts
- 18. Meyers 2,366 posts
- 19. annabeth 2,387 posts
- 20. Capitol Police 26.5K posts