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#gpuprogramming resultados da pesquisa

taras_y_sereda's profile picture. in search of true posterior
taras sereda 🇺🇦
 @taras_y_sereda
6 de ago. de 2024

"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"

taras_y_sereda's tweet image. "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"
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yasunrik's profile picture. 趣味アカウント。Cloudflare, VTuber, Graphics, Programming, AI, Claude, Unity, C#, Python, Delphi, C++, aws, Anime, Manga, Gaussian Splatting, UofU, Ph.D.
ヤスリ
 @yasunrik
2 de jun. de

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

yasunrik's tweet image. Each common operation is implemented as its own .cu file—modular. intriguing. #CUDA #NVIDIA #GPUProgramming #libcudf
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BeastofBayArea's profile picture. building @centcapglobal
shiv
@BeastofBayArea
26 de set. de

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

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LGcommaI's profile picture. Professional mathematician. Doctorate in (a subarea of) mathematics from a German university.
Logic Geometry, Information
 @LGcommaI
15 de mar. de 2023

#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. >

LGcommaI's tweet image. #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. >
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PawseyCentre's profile picture. 🚀 We have moved to Bluesky @pawseycentre.bsky.social to explore new horizons. 🌟 While this account remains open, it will no longer be monitored.
Pawsey Supercomputing Research Centre
 @PawseyCentre
30 de jul. de 2024

#TrainingTuesday focuses on Optimising HIP Kernels. 💻 HIP kernel performance is a multi-layered puzzle. 🧩 Unpack several strategies to boost your kernel performance, watch 👀: bit.ly/3WL8rSr #HIP #GPUprogramming #optimisation #training #education

PawseyCentre's tweet image. #TrainingTuesday focuses on Optimising HIP Kernels. 💻 HIP kernel performance is a multi-layered puzzle. 🧩 Unpack several strategies to boost your kernel performance, watch 👀: bit.ly/3WL8rSr #HIP #GPUprogramming #optimisation #training #education
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Nenhum resultado para "#gpuprogramming"
cuda_programmer's profile picture. ML Enthusiast.
Rp : )
 @cuda_programmer
12 de nov. de

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

cuda_programmer's tweet image. 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
cuda_programmer's tweet image. 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
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mario21ic's profile picture. AWS Community Builder, DevOps Institute Ambassador, DevSecOps, SRE, Security, AI enthusiast, Homelab, Communities: @devopspe @dockerglima @cloudnativepe
Mario IC
 @mario21ic
3 de dez. de 2020

Finally, it has arrived!! I have got my #Nvidia Jetson Xavier NX :D #cuda #gpuProgramming

mario21ic's tweet image. Finally, it has arrived!! I have got my #Nvidia Jetson Xavier NX :D #cuda #gpuProgramming
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MGaimann's profile picture. Spicing up #ReservoirComputing with Physics 🌶👨‍💻 PhD Candidate @SimTechStuttga2 @Uni_Stuttgart with @miriamklk, IMPRS-IS scholar @MPI_IS @Cyber_Valley 👨‍🔬
Mario Gaimann
 @MGaimann
14 de jul. de 2022

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!

MGaimann's tweet image. 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!
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tatavishnurao's profile picture. 20, AI Engineer | Sharing about my learnings, research & real-world insights
Vishnu Rao
@tatavishnurao
7 de nov. de

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

tatavishnurao's tweet image. 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
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LearnInShadows's profile picture. Sharing My Learning Journey One Layer at a Time.
ShadowMaster
@LearnInShadows
19 de nov. de

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

LearnInShadows's tweet image. 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
LearnInShadows's tweet image. 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
LearnInShadows's profile picture. Sharing My Learning Journey One Layer at a Time.
ShadowMaster
@LearnInShadows
18 de nov. de

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

LearnInShadows's tweet image. 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
LearnInShadows's tweet image. 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
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yasunrik's profile picture. 趣味アカウント。Cloudflare, VTuber, Graphics, Programming, AI, Claude, Unity, C#, Python, Delphi, C++, aws, Anime, Manga, Gaussian Splatting, UofU, Ph.D.
ヤスリ
 @yasunrik
2 de jun. de

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

yasunrik's tweet image. Each common operation is implemented as its own .cu file—modular. intriguing. #CUDA #NVIDIA #GPUProgramming #libcudf
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taras_y_sereda's profile picture. in search of true posterior
taras sereda 🇺🇦
 @taras_y_sereda
6 de ago. de 2024

"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"

taras_y_sereda's tweet image. "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"
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hridoy_bashir's profile picture. Swanky Patito Feo 🐤 Geek 💻 Quantum Computing Enthusiast 0️⃣ 1️⃣ 🔄 PhysX + CompSci + Math !! (Trinity) ♥️♥️ Physics Grad @SUST CS PostGrad @DU 🇧🇩
Raihanul Bashir Hridoy
 @hridoy_bashir
10 de jan. de 2024

#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

hridoy_bashir's tweet image. #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
hridoy_bashir's tweet image. #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
hridoy_bashir's tweet image. #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
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hridoy_bashir's profile picture. Swanky Patito Feo 🐤 Geek 💻 Quantum Computing Enthusiast 0️⃣ 1️⃣ 🔄 PhysX + CompSci + Math !! (Trinity) ♥️♥️ Physics Grad @SUST CS PostGrad @DU 🇧🇩
Raihanul Bashir Hridoy
 @hridoy_bashir
11 de jan. de 2024

#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

hridoy_bashir's tweet image. #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
hridoy_bashir's tweet image. #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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hridoy_bashir's profile picture. Swanky Patito Feo 🐤 Geek 💻 Quantum Computing Enthusiast 0️⃣ 1️⃣ 🔄 PhysX + CompSci + Math !! (Trinity) ♥️♥️ Physics Grad @SUST CS PostGrad @DU 🇧🇩
Raihanul Bashir Hridoy
 @hridoy_bashir
2 de jan. de 2024

#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

hridoy_bashir's tweet image. #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
hridoy_bashir's tweet image. #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
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hridoy_bashir's profile picture. Swanky Patito Feo 🐤 Geek 💻 Quantum Computing Enthusiast 0️⃣ 1️⃣ 🔄 PhysX + CompSci + Math !! (Trinity) ♥️♥️ Physics Grad @SUST CS PostGrad @DU 🇧🇩
Raihanul Bashir Hridoy
 @hridoy_bashir
3 de jan. de 2024

#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

hridoy_bashir's tweet image. #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
hridoy_bashir's tweet image. #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
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