#gpuprogramming resultados de búsqueda
@nvidia GPU bootcamp in the Claustro of @URosario. @HPCCol growing stronger. #HPC #GPUProgramming #OpenACC
Day 8 of GPU Programming -Count 2D Array Element -todays potd easy peasy again. #100DaysOfGPU #CUDA #GPUProgramming #ParallelComputing #AI #DeepLearning #100DaysOfCode #MachineLearning #NVIDIA #CodingJourney
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 9 of GPU Programming -Leaky ReLU -leetcode potd easy but hard to implement #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
Compilation errors when using OpenACC with g++ 10 stackoverflow.com/questions/6542… #openacc #gpuprogramming #g++ #compilererrors #cpp
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
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!
Day 2 of #GPUProgramming: >read an article about shared memory >learnt about registers……..Global memory >almost blacked out from elaboration of L1 & L2 iykyk >”repetition”to digest what I just learnt for about 900k milliseconds
"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"
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
NSIGHT GRAPHICS TUTORIAL: amzn.to/2Qffvpl | Vulkan, OpenGL, Direct 3D profiling and debugging | #graphicsprogramming #gpuprogramming #gpgpu #howtoprogram #howtocode #computerprogramming #howtowriteaprogram #siliconvalley #nsightgraphicstutorial #videowalkthrough
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 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
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