Poke the DRAM controller and an address can be made to land wherever you want in memory. skitter-creek-bath-salts modifies the bottom layers of the memory hierarchy to rewire the physical DRAM address translations.
Global
这是图吧工具箱基于 WinUI 3 全新重构的版本,一款由社区驱动、深度契合 Windows 11 设计美学的现代化工具箱。它不仅确保你始终使用最新版本的工具,还集成了更加丰富的实用功能,更可满足高度自定义的个性化需求。
If the app has already been moved to the Trash, the script can be run directly from the repository:
Each default BIOS mode is paired with matching Windows Power Mode. You can adjust this setting under Fans + Power
This is the release repository for Fan Control, a highly customizable fan controlling software for Windows.
cpp — a real-time multilingual ASR inference engine on CPU using BitNet I2S quantization, achieving RTF Code ] [ Models ] [ Report ]
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
JSON is everywhere on the Internet. Servers spend a lot of time parsing it. We need a fresh approach.
The main goal of ggml is to be a simple, portable, and efficient tensor library for machine learning with minimal setup.
wrk is a modern HTTP benchmarking tool capable of generating significant load when run on a single multi-core CPU. It combines a multithreaded design with scalable event notification systems such as epoll and kqueue.
2025年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
v86 emulates an x86-compatible CPU and hardware. Machine code is translated to WebAssembly modules at runtime in order to achieve decent performance. Here's a list of emulated hardware:
Cross-platform lib for process and system monitoring in Python
A simple Rust profiler that shows exactly why your code is slow.
Making a program fast on a modern CPU means knowing what the core does with each instruction, where the time actually goes, and how to prove a change helped. This is the reading that gets you there, in the order that makes the next piece legible.
The released batch-one G1 inference path is implemented end to end: strict GGUF loading, root/duration planning, pose-token prediction, VQ decoding, 418/414/413 feature conversion, style alignment, and skeletal animation output.
An educational project made to understand how LLM inference works. The full inference path is implemented in one file without external libraries.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
面向有经验的 Android 开发者和系统工程师。覆盖 App、Framework、Native 与 Kernel,当前基准是 Android 17 / API 37,源码核对标签是 AOSP android-17.0.0r1。
纯 C# PP-OCRv6 推理库:多平台手写 Kernel / GEMM 等算子、超高性能、低内存需求、超高准确率。 自带托管 ONNX 解释器,不依赖 Paddle Inference、ONNX Runtime 或 OpenCV 原生库。
Click a box to zoom the Flame Graph to this stack frame only. To search and highlight all stack frames matching a regular expression, click the search button in the upper right corner or press Ctrl-F.
This is a port of psutil ( The challenge is porting all psutil functions on some architectures.
XMRig is a high performance, open source, cross platform RandomX, KawPow, CryptoNight and GhostRider unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS and FreeBSD.
## NPC-Forge NPC-Forge is a framework for building conversational agents with distinct personalities, multi-turn context, sentiment analysis, and tool-call support.
Run macOS GUI applications in your jailbroken iPad/iPhone. Demo video:
Scalene is a high-performance CPU, GPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than many other profilers while delivering far more detailed information.
A substantial amount of effort has been put into making sure the outputs match exactly with what you would get with HuggingFace Tokenizers in this setting, but this is at a non-negligible cost to performance.
Adaptive task scheduling for multi-core CPUs using DQN with DVFS & thermal-aware reward; includes simulator, baselines, training, evaluation, and plotting.
The language is detected automatically — you don't have to say what you're feeding it.