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#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

#cuda DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall. https://github.com/deepseek-ai/DeepEP

#rust#cuda#rust ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5]. https://github.com/vosen/ZLUDA

英伟达发布 CUDA Toolkit 13.1，称其为「20 年来最大的一次更新」 这个自 2006 年 CUDA 平台诞生以来规模最大、最全面的更新包括： - NVIDIA CUDA Tile 的发布，这是英伟达基于 tile 的编程模型，可用于抽象化专用硬件，包括张量核心。 - Runtime API exposure of green contexts（是指把所谓的 Green Context「指轻量级的、可并发调度的上下文或执行环境」暴露给外部调用者使用。） - NVIDIA cuBLAS 中的双精度和单精度仿真。 - 一本完全重写的 CUDA 编程指南 ，专为 CUDA 新手和高级程序员设计。 🗒 标签: #英伟达#NVIDIA#CUDA 📢 频道: @GodlyNews1 🤖 投稿: @GodlyNewsBot

#c_lang Moonshine Voice is an open-source toolkit for fast, private on-device speech-to-text that beats Whisper's accuracy and speed (up to 5x faster, 6.65% vs. 7.44% WER) with tiny 26MB-245M models for live apps on phones, Raspberry Pi, and more. It streams results as you speak, supports English/Spanish/Mandarin/etc., and handles transcription/commands easily via simple APIs on Python/iOS/Android. You benefit by building responsive voice apps offline without accounts, keys, or cloud costs—perfect for real-time tools like translators or assistants. https://github.com/moonshine-ai/moonshine

#c_lang Shortcircuit XT is a free, open-source sampler plugin in beta from the Surge Synth Team, rebuilt from the classic 2000s Shortcircuit using modern tech. Download nightly builds from GitHub, load WAV/MP3/FLAC/AIF/SF2/SFZ files into zones for round-robin/random/layered playback across 16 parts, add per-zone filters/envelopes/LFOs/processors, and use poly/mono/legato modes with MPE tuning. Join Discord to test, report bugs, or contribute. This gives you pro-level creative sample mangling and synthesis without paying, saving money while future-proofing your sounds via open formats. https://github.com/surge-synthesizer/shortcircuit-xt

#c_lang TaskExplorer is a powerful Windows task manager that gives you deep insight into what your applications are doing in real-time. It displays process information in easy-to-use panels showing threads, memory, network connections, and system resources without cluttering your screen. You benefit from advanced diagnostic tools like stack traces for finding performance problems, memory editing capabilities, and detailed monitoring of disk operations and network activity. The streamlined interface lets you navigate quickly using arrow keys while watching live updates, making it ideal for troubleshooting software issues, optimizing system performance, and detecting problems that standard Task Manager cannot reveal. https://github.com/DavidXanatos/TaskExplorer

#c_lang Vanilla is an alpha-stage, open-source Wii U gamepad clone that lets you use devices like Steam Deck, Linux PCs, Nintendo Switch, Android phones, Windows, or Raspberry Pi as a replacement controller with touchscreen, needing 5GHz Wi-Fi (check compatibility). Download official builds from GitHub releases or distro packages; use keyboard mappings (e.g., Z=A, Enter=Plus) or controllers, with shortcuts like F5 for recording. It benefits you by fixing broken gamepads, enabling off-TV play, and preserving Wii U games cheaply without Nintendo hardware. https://github.com/vanilla-wiiu/vanilla

#c_lang stackplz is an eBPF tool for Android (arm64, root, kernel 5.10+) that traces syscalls, uprobes in libraries, and hardware breakpoints, printing params, stacks, and registers with filters for PIDs/threads. Push binary to /data/local/tmp, chmod +x, run like ./stackplz -n app --syscall open -o log. It helps you debug apps, hook functions, dump memory on hits (e.g., --kill SIGSTOP), and analyze traces undetected, saving time on reverse engineering without attaching processes. https://github.com/SeeFlowerX/stackplz

#c_lang You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, with files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. Reading these helps you understand how to work with the Linux kernel safely and effectively, avoiding common problems when upgrading or modifying it. This makes managing and developing the kernel easier and more reliable for you. https://github.com/torvalds/linux

#c_lang The CDP System Software Release 8, updated in October 2023, is free and open-source software for creative sound design, offering about 80 new sound-processing programs including multichannel support, waveset distortion, and speech/voice tools. It supports the PVOCEX (.pvx) analysis file format used in Csound, enhancing compatibility and playback options. The system runs on Mac, Windows, and Linux, and includes updated graphical interfaces and scripting capabilities for advanced sound manipulation. This release benefits you by providing powerful, flexible tools to transform and create unique sounds, with ongoing development opportunities if you want to contribute or customize the software. https://github.com/ComposersDesktop/CDP8

#c_lang You can build C projects using only a C compiler without needing tools like make or cmake by using the "nob" library, which lets you write build instructions in C itself. This makes your build process very portable across many systems (Linux, Windows, MacOS, etc.) because it depends only on the C compiler, which is widely available. It also lets you reuse code between your project and build system since both use C. However, it requires comfort with C programming and is mainly useful for simpler C/C++ projects, not complex ones with many dependencies. You just include the single header file "nob.h" to start using it. This approach simplifies building and increases control if you prefer coding your build steps in C directly. https://github.com/tsoding/nob.h