#gpuprogramming zoekresultaten
Day 8 of GPU Programming -Count 2D Array Element -todays potd easy peasy again. #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney
@nvidia GPU bootcamp in the Claustro of @URosario. @HPCCol growing stronger. #HPC #GPUProgramming #OpenACC
Day 3 of GPU Programming -implemented ReLU activation for 1D array -Did potd leetcod -explored how GPUs handle element-wise operations in parallel #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney
Day 5 of GPU Programming -matrix transpose. -matrix prefix sum leetcode. #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney
Day 6 of GPU Programming -matrix addition. -todays potd was on harder side. #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney pic.x.com/9qrJliv3Fdhttp…
Day 7 of GPU Programming -color inversion. -todays potd easy peasy. #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney
Day 9 of GPU Programming -Leaky ReLU -leetcode potd easy but hard to implement #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney
Day 3 of GPU programming At this rate I'll be writing custom inference kernels for AI by next month. The gap between PyTorch abstractions and bare metal isn't as wide as it seemed. #CUDA #GPUProgramming #MachineLearning
Day 2 of GPU programming Never knew addition needs so much code 😂 Starting to get the hang of program_id. Used Gemini 3.0 to generate pseudocode since I'm new to GPU programming and didn't want full code. Lets hope this momentum continues
Day 10 of GPU Programming - Rainbow Table - 4th consecutive easy problem on LeetCode #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney pic.x.com/FYOUlLsQy3
Compilation errors when using OpenACC with g++ 10 stackoverflow.com/questions/6542… #openacc #gpuprogramming #g++ #compilererrors #cpp
"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"
Each common operation is implemented as its own .cu file—modular. intriguing. #CUDA #NVIDIA #GPUProgramming #libcudf
#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"
Something went wrong.
Something went wrong.
United States Trends
- 1. Starlight Christmas N/A
- 2. Piers 36.2K posts
- 3. Pulisic 11.1K posts
- 4. Chargers 17.6K posts
- 5. Alina Habba 18.6K posts
- 6. Tracy Morgan 1,127 posts
- 7. Wolves 103K posts
- 8. Paramount 84.6K posts
- 9. Cunha 17.9K posts
- 10. Jasmine Crockett 24.7K posts
- 11. Busta 2,144 posts
- 12. Carragher 50.8K posts
- 13. Farmers 95.5K posts
- 14. #MUFC 18.8K posts
- 15. #WOLMUN 10.4K posts
- 16. Amorim 45.5K posts
- 17. Kyle 34K posts
- 18. Mason Mount 8,518 posts
- 19. Manchester United 47.3K posts
- 20. Go Birds 7,088 posts