Veganism Social

HGPU groupBandicoot: A Templated C++ Library for GPU Linear Algebra<a href="https://mast.hpc.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenCL</a> <a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mast.hpc.social/tags/LinearAlgebra" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinearAlgebra</a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener" target="_blank">#Package</a><a href="https://hgpu.org/?p=30143" rel="nofollow noopener" translate="no" target="_blank">https://hgpu.org/?p=30143</a>

HGPU groupProfiling Concurrent Vision Inference Workloads on NVIDIA Jetson – Extended<a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mast.hpc.social/tags/Jetson" class="mention hashtag" rel="nofollow noopener" target="_blank">#Jetson</a> <a href="https://mast.hpc.social/tags/Performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#Performance</a><a href="https://hgpu.org/?p=30141" rel="nofollow noopener" translate="no" target="_blank">https://hgpu.org/?p=30141</a>

N-gated Hacker News🚀🔧 Ah, yes. Because *everyone* just loves a good bedtime story on optimizing matrix multiplications for GPUs they can't afford. 🙄 If you find yourself lost in this maze of <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/C" class="mention hashtag" rel="nofollow noopener" target="_blank">#C</a>++, remember: you're not alone; the author just wants to show off their nerd trophy <a href="https://mastodon.social/tags/collection" class="mention hashtag" rel="nofollow noopener" target="_blank">#collection</a>. 🏆 <a href="https://gau-nernst.github.io/fa-5090/" rel="nofollow noopener" translate="no" target="_blank">https://gau-nernst.github.io/fa-5090/</a> <a href="https://mastodon.social/tags/GPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPU</a> <a href="https://mastodon.social/tags/Optimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#Optimization</a> <a href="https://mastodon.social/tags/BedtimeStories" class="mention hashtag" rel="nofollow noopener" target="_blank">#BedtimeStories</a> <a href="https://mastodon.social/tags/NerdTrophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#NerdTrophy</a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/ngated" class="mention hashtag" rel="nofollow noopener" target="_blank">#ngated</a>

Hacker NewsWriting Speed-of-Light Flash Attention for 5090 in CUDA C++<a href="https://gau-nernst.github.io/fa-5090/" rel="nofollow noopener" translate="no" target="_blank">https://gau-nernst.github.io/fa-5090/</a><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/WritingSpeedOfLight" class="mention hashtag" rel="nofollow noopener" target="_blank">#WritingSpeedOfLight</a> <a href="https://mastodon.social/tags/FlashAttention" class="mention hashtag" rel="nofollow noopener" target="_blank">#FlashAttention</a> <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/C" class="mention hashtag" rel="nofollow noopener" target="_blank">#C</a>++ #5090 <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Technology</a>

TOVKdenlive 25.08.0 has been released. This release brings improvements to the background removal tool using SAM2. The background removal tool now uses less memory consumption. It also fixes SAM2 using hidden system packages. These changes now also allow installing specific CUDA version for Whisper and SAM2.<a href="https://fosstodon.org/tags/Kdenlive" class="mention hashtag" rel="nofollow noopener" target="_blank">#Kdenlive</a> <a href="https://fosstodon.org/tags/SAM2" class="mention hashtag" rel="nofollow noopener" target="_blank">#SAM2</a> <a href="https://fosstodon.org/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#Whisper</a> <a href="https://fosstodon.org/tags/Cuda" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cuda</a> <a href="https://fosstodon.org/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#memory</a>

PitCrewICYMI: GeForce NOW gets Blackwell GPUs, install to play games, a Steam Deck upgrade and Discord integration<a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/GeForce" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeForce</a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> <a href="https://mastodon.social/tags/LinuxGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinuxGaming</a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> <a href="https://mastodon.social/tags/OpenGL" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenGL</a> <a href="https://mastodon.social/tags/PCGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#PCGaming</a> <a href="https://mastodon.social/tags/Vulkan" class="mention hashtag" rel="nofollow noopener" target="_blank">#Vulkan</a><a href="https://www.gamingonlinux.com/2025/08/geforce-now-gets-blackwell-gpus-install-to-play-games-a-steam-deck-upgrade-and-discord-integration/" rel="nofollow noopener" translate="no" target="_blank">https://www.gamingonlinux.com/2025/08/geforce-now-gets-blackwell-gpus-install-to-play-games-a-steam-deck-upgrade-and-discord-integration/</a>

Benjamin Carr, Ph.D. 👨🏻‍💻🧬ZLUDA Implements Kernel Cache Support To Help With Performance <a href="https://hachyderm.io/tags/ZLUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#ZLUDA</a> as the <a href="https://hachyderm.io/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> solution bringing <a href="https://hachyderm.io/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> to non-NVIDIA hardware has been seeing a nice uptick in activity the past several months for its latest take on life. The latest feature merged to ZLUDA is the all-important kernel cache to help with performance. <a href="https://www.phoronix.com/news/ZLUDA-Kernel-Cache" rel="nofollow noopener" translate="no" target="_blank">https://www.phoronix.com/news/ZLUDA-Kernel-Cache</a>

Alexandre BorgesWhat is a CUDA Device Architecture?<a href="https://modal.com/gpu-glossary/device-hardware/cuda-device-architecture" rel="nofollow noopener" translate="no" target="_blank">https://modal.com/gpu-glossary/device-hardware/cuda-device-architecture</a><a href="https://mastodon.social/tags/gpu" class="mention hashtag" rel="nofollow noopener" target="_blank">#gpu</a> <a href="https://mastodon.social/tags/hardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#hardware</a> <a href="https://mastodon.social/tags/documentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#documentation</a> <a href="https://mastodon.social/tags/informationsecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#informationsecurity</a> <a href="https://mastodon.social/tags/cuda" class="mention hashtag" rel="nofollow noopener" target="_blank">#cuda</a>

Jean-Jerome Levy🚀 Apple Silicon or NVIDIA CUDA for your AI apps?Development, compatibility, performance… Both ecosystems are closing the gap, yet each keeps its own strengths and trade-offs. 👉 Full analysis here: <a href="https://scalastic.io/apple-silicon-vs-nvidia-cuda-ai-2025/" rel="nofollow noopener" translate="no" target="_blank">https://scalastic.io/apple-silicon-vs-nvidia-cuda-ai-2025/</a><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://mastodon.social/tags/AppleSilicon" class="mention hashtag" rel="nofollow noopener" target="_blank">#AppleSilicon</a> <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a>

Jean-Jerome Levy🚀 Apple Silicon ou NVIDIA CUDA pour vos apps IA ?Développement, compatibilité, perf… Les deux écosystèmes se rapprochent, mais chacun garde ses forces et ses limites. 👉 Mon analyse complète ici : <a href="https://scalastic.io/apple-silicon-vs-nvidia-cuda-ai-2025/" rel="nofollow noopener" translate="no" target="_blank">https://scalastic.io/apple-silicon-vs-nvidia-cuda-ai-2025/</a><a href="https://mastodon.social/tags/IA" class="mention hashtag" rel="nofollow noopener" target="_blank">#IA</a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://mastodon.social/tags/AppleSilicon" class="mention hashtag" rel="nofollow noopener" target="_blank">#AppleSilicon</a> <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a>

.:\dGh/:.It's <a href="https://mastodon.social/tags/ROCm" class="mention hashtag" rel="nofollow noopener" target="_blank">#ROCm</a> getting better? YesWill you still use <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a>? Yes.<a href="https://www.youtube.com/watch?v=wCBLMXgk3No&t=933" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=wCBLMXgk3No&t=933</a>What <a href="https://mastodon.social/tags/AMD" class="mention hashtag" rel="nofollow noopener" target="_blank">#AMD</a> should focus on is to bring all of their SKU to use ROCm stable on all platforms. Currently that isn't possible, which is frustrating given their cards have more memory than <a href="https://mastodon.social/tags/RTX" class="mention hashtag" rel="nofollow noopener" target="_blank">#RTX</a> at the same price.<a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/OLlama" class="mention hashtag" rel="nofollow noopener" target="_blank">#OLlama</a> <a href="https://mastodon.social/tags/Llama" class="mention hashtag" rel="nofollow noopener" target="_blank">#Llama</a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> <a href="https://mastodon.social/tags/GeForce" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeForce</a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.social/tags/OpenCompute" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenCompute</a> <a href="https://mastodon.social/tags/GPUOpen" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPUOpen</a> <a href="https://mastodon.social/tags/Computer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Computer</a> <a href="https://mastodon.social/tags/Computers" class="mention hashtag" rel="nofollow noopener" target="_blank">#Computers</a> <a href="https://mastodon.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Technology</a> <a href="https://mastodon.social/tags/PC" class="mention hashtag" rel="nofollow noopener" target="_blank">#PC</a> <a href="https://mastodon.social/tags/PCHardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#PCHardware</a> <a href="https://mastodon.social/tags/Hardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#Hardware</a> <a href="https://mastodon.social/tags/GPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPU</a> <a href="https://mastodon.social/tags/dGPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#dGPU</a> <a href="https://mastodon.social/tags/Laptop" class="mention hashtag" rel="nofollow noopener" target="_blank">#Laptop</a> <a href="https://mastodon.social/tags/Laptops" class="mention hashtag" rel="nofollow noopener" target="_blank">#Laptops</a> <a href="https://mastodon.social/tags/StrixHalo" class="mention hashtag" rel="nofollow noopener" target="_blank">#StrixHalo</a> <a href="https://mastodon.social/tags/Radeon" class="mention hashtag" rel="nofollow noopener" target="_blank">#Radeon</a>

PitCrewICYMI: NVIDIA driver 570.181 released for Linux as the latest recommended stable driver<a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/GeForce" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeForce</a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> <a href="https://mastodon.social/tags/LinuxGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinuxGaming</a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> <a href="https://mastodon.social/tags/OpenGL" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenGL</a> <a href="https://mastodon.social/tags/PCGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#PCGaming</a> <a href="https://mastodon.social/tags/Vulkan" class="mention hashtag" rel="nofollow noopener" target="_blank">#Vulkan</a><a href="https://www.gamingonlinux.com/2025/08/nvidia-driver-570-181-released-for-linux-as-the-latest-recommended-stable-driver" rel="nofollow noopener" translate="no" target="_blank">https://www.gamingonlinux.com/2025/08/nvidia-driver-570-181-released-for-linux-as-the-latest-recommended-stable-driver</a>

Benjamin Carr, Ph.D. 👨🏻‍💻🧬The <a href="https://hachyderm.io/tags/AlmaLinux" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlmaLinux</a> project has announced the availability of packages to enable native <a href="https://hachyderm.io/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> driver support, including <a href="https://hachyderm.io/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> and Secure Boot, for <a href="https://hachyderm.io/tags/AlmaLinux9" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlmaLinux9</a> and <a href="https://hachyderm.io/tags/AlmaLinux10" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlmaLinux10</a>. <a href="https://almalinux.org/blog/2025-08-06-announcing-native-nvidia-suport/" rel="nofollow noopener" translate="no" target="_blank">https://almalinux.org/blog/2025-08-06-announcing-native-nvidia-suport/</a> <a href="https://hachyderm.io/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> <a href="https://hachyderm.io/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> <a href="https://hachyderm.io/tags/gpu" class="mention hashtag" rel="nofollow noopener" target="_blank">#gpu</a>

AptiviAlmaLinux announces native NVIDIA support!<a href="https://mastodon.social/tags/AlmaLinux" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlmaLinux</a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/GeForce" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeForce</a> <a href="https://mastodon.social/tags/LinuxKernel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinuxKernel</a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechNews</a> <a href="https://mastodon.social/tags/TechUpdates" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechUpdates</a><a href="https://officialaptivi.wordpress.com/2025/08/06/almalinux-announces-native-nvidia-support/" rel="nofollow noopener" translate="no" target="_blank">https://officialaptivi.wordpress.com/2025/08/06/almalinux-announces-native-nvidia-support/</a>

PitCrewICYMI: NVIDIA are working on a "general optimization" for VKD3D / DirectX12 games on Linux<a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/GeForce" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeForce</a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> <a href="https://mastodon.social/tags/LinuxGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinuxGaming</a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> <a href="https://mastodon.social/tags/OpenGL" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenGL</a> <a href="https://mastodon.social/tags/PCGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#PCGaming</a> <a href="https://mastodon.social/tags/Vulkan" class="mention hashtag" rel="nofollow noopener" target="_blank">#Vulkan</a><a href="https://www.gamingonlinux.com/2025/08/nvidia-are-working-on-a-general-optimization-for-vkd3d-directx12-games-on-linux" rel="nofollow noopener" translate="no" target="_blank">https://www.gamingonlinux.com/2025/08/nvidia-are-working-on-a-general-optimization-for-vkd3d-directx12-games-on-linux</a>

PitCrewICYMI: NVIDIA Beta driver 580.65.06 released for Linux with bug fixes and expanded Wayland support<a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/GeForce" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeForce</a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a> <a href="https://mastodon.social/tags/LinuxGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinuxGaming</a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NVIDIA</a> <a href="https://mastodon.social/tags/OpenGL" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenGL</a> <a href="https://mastodon.social/tags/PCGaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#PCGaming</a> <a href="https://mastodon.social/tags/Vulkan" class="mention hashtag" rel="nofollow noopener" target="_blank">#Vulkan</a><a href="https://www.gamingonlinux.com/2025/08/nvidia-beta-driver-580-65-06-released-for-linux-with-bug-fixes-and-expanded-wayland-support" rel="nofollow noopener" translate="no" target="_blank">https://www.gamingonlinux.com/2025/08/nvidia-beta-driver-580-65-06-released-for-linux-with-bug-fixes-and-expanded-wayland-support</a>

ACCUConf<a href="https://youtu.be/tDegOeivJs4" rel="nofollow noopener" translate="no" target="_blank">https://youtu.be/tDegOeivJs4</a><a href="https://mastodon.social/tags/cplusplus" class="mention hashtag" rel="nofollow noopener" target="_blank">#cplusplus</a> <a href="https://mastodon.social/tags/cpp" class="mention hashtag" rel="nofollow noopener" target="_blank">#cpp</a> <a href="https://mastodon.social/tags/cuda" class="mention hashtag" rel="nofollow noopener" target="_blank">#cuda</a> <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#programming</a>

HGPU groupPerformance Portable Gradient Computations Using Source Transformation<a href="https://mast.hpc.social/tags/Kokkos" class="mention hashtag" rel="nofollow noopener" target="_blank">#Kokkos</a> <a href="https://mast.hpc.social/tags/HIP" class="mention hashtag" rel="nofollow noopener" target="_blank">#HIP</a> <a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mast.hpc.social/tags/Performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#Performance</a><a href="https://hgpu.org/?p=30070" rel="nofollow noopener" translate="no" target="_blank">https://hgpu.org/?p=30070</a>

Trending Stocks 📈Millions of Tokens Ahead - All-In Summit<a href="https://mastodon.social/tags/cuda" class="mention hashtag" rel="nofollow noopener" target="_blank">#cuda</a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.social/tags/nvidia" class="mention hashtag" rel="nofollow noopener" target="_blank">#nvidia</a> <a href="https://mastodon.social/tags/cost" class="mention hashtag" rel="nofollow noopener" target="_blank">#cost</a>

GripNews🌘 GitHub - tripplyons/cuda-fractal-renderer：在 CUDA 中快速渲染碎形圖 ➤ 善用 GPU 平行運算，瞬息生成萬千碎形世界 ✤ <a href="https://github.com/tripplyons/cuda-fractal-renderer" rel="nofollow noopener" translate="no" target="_blank">https://github.com/tripplyons/cuda-fractal-renderer</a> 此 GitHub 專案 `tripplyons/cuda-fractal-renderer` 旨在利用 NVIDIA 的 CUDA 平臺，實現碎形圖的快速平行渲染。專案以 Python 和 CUDA C/C++ 為主要程式語言，透過 GPU 加速大幅提升運算效能。使用者可透過簡單的指令安裝依賴並執行程式，並藉由 `--seed` 參數調整碎形樣式或使用 `--grid-size` 參數一次渲染多個碎形，最終成果將輸出為 `output.png` 圖像。此專案具備清晰的設置指南與易於上手的操作流程，並採用 MIT 授權。 + 「對於需要高效能碎形生成的研究者或視覺藝術家而言，這是一個極具價值的開源工具。易於安裝與操作，且成果令人驚艷。」 + 「很 <a href="https://mastodon.social/tags/%E9%96%8B%E6%BA%90%E5%B0%88%E6%A1%88" class="mention hashtag" rel="nofollow noopener" target="_blank">#開源專案</a> <a href="https://mastodon.social/tags/%E7%A2%8E%E5%BD%A2%E6%B8%B2%E6%9F%93" class="mention hashtag" rel="nofollow noopener" target="_blank">#碎形渲染</a> <a href="https://mastodon.social/tags/GPU%E9%81%8B%E7%AE%97" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPU運算</a> <a href="https://mastodon.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#CUDA</a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a>

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