Search Results for "cpu performance meter" - Page 3
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Showing 516 open source projects for "cpu performance meter"
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whichllm
Find the local LLM that actually runs and performs best
whichllm is a command-line tool for finding local large language models that can realistically run on a user’s hardware. It detects the machine’s available resources, including GPU, CPU, memory, and storage, then recommends models based on practical fit rather than parameter count alone. The project is useful for users who are unsure which local LLM will perform well on their system. It focuses on real, recency-aware benchmarks so recommendations better reflect current model performance. whichllm is especially helpful for developers, AI hobbyists, and researchers comparing local inference options across NVIDIA, AMD, Apple Silicon, and CPU-only environments. ... -
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mGBA
mGBA Game Boy Advance Emulator
mGBA is a high-performance, open-source emulator designed to accurately replicate the behavior of the Game Boy Advance hardware while maintaining fast execution across a wide range of devices. The project was created with the goal of improving both accuracy and speed compared to earlier emulators, achieving a balance that allows games to run reliably even on lower-end systems. -
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llama.cpp
LLM inference in C/C++
llama.cpp is a high-performance C and C++ project for running large language models locally and in the cloud with minimal setup. It is built around efficient inference, broad hardware support, and the GGUF model format. The project supports many model families and has become a major foundation for local AI tools, model serving, and embedded inference workflows. -
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ProcDump for Linux
A Linux version of the ProcDump Sysinternals tool
ProcDump for Linux is a Linux version of Microsoft’s Sysinternals ProcDump utility for Windows. It gives developers and system administrators a practical way to generate core dumps when an application meets specific performance or diagnostic conditions. The tool is useful when a process is unstable, consumes too much CPU or memory, throws .NET exceptions, crosses thread or file descriptor thresholds, or receives selected signals. It supports immediate dumps, repeated dumps, delayed dumps, and dumps triggered by monitored process behavior. It also includes resource tracking for certain allocation APIs, helping teams investigate memory leaks and unreleased resources. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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CloudPanel
Server control panel to configure and manage a server
CloudPanel CE is an open-source server control panel focused on hosting high-performance web applications with a clean, modern UI. It streamlines provisioning of sites and services—web servers, databases, PHP runtimes, and SSL—so teams can go from a fresh VM to a production-ready stack quickly. The panel emphasizes performance defaults and security best practices, offering features like one-click TLS, user isolation, and straightforward firewall controls. Developers can manage multiple... -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. ... -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
...Native support for Windows & *nix (with macOS, Linux, Android, *BSD & Solaris confirmed). High performance by using the Just-In-Time compiler technique. Support fine-grained instrumentation at various levels. Thread-safe by design. Distributed under free software license GPLv2. Another significant change on this version is the addition of some new APIs to allow better control on how the core engine works. -
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llmfit
157 models, 30 providers, one command to find what runs on hardware
llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. ... -
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Gearboy
Game Boy / Game Boy Color / Super Game Boy emulator, debugger
...One of its distinguishing characteristics is its integrated debugging environment, which includes tools for inspecting memory, CPU behavior, and graphics output. Gearboy also supports visual effects that replicate the original LCD display characteristics, enhancing authenticity. Additionally, it integrates with modern ecosystems like RetroArch, expanding its compatibility across devices. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Gopher64
Highly compatible N64 emulator
Gopher64 is a modern, cross-platform Nintendo 64 emulator focused on high compatibility and performance. It aims to accurately reproduce the behavior of the original hardware while providing enhancements that improve the user experience. The emulator includes features such as graphical upscaling, shader support, and netplay for online multiplayer sessions. It supports homebrew applications alongside commercial titles, making it useful for both players and developers. gopher64 also offers... -
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shimmy
Python-free Rust inference server
...This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture intact. Shimmy focuses on performance and simplicity, using efficient runtime components to minimize memory usage and startup time compared to heavier inference frameworks. It supports modern model formats such as GGUF and SafeTensors and can automatically discover models stored locally or in common directories used by other AI tools. Advanced capabilities include CPU offloading for Mixture-of-Experts models and GPU acceleration, enabling large models to run on consumer hardware with limited VRAM. -
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Lenovo Legion Linux Support
Driver and tools for controlling Lenovo Legion laptops in Linux
Lenovo Legion Linux (LLL) brings additional drivers and tools for Lenovo Legion series laptops to Linux. It is the alternative to Lenovo Vantage or Legion Zone (both Windows only). It allows you to control features like the fan curve, power mode, power limits, rapid charging, and more. This has been achieved through reverse engineering and disassembling the ACPI firmware, as well as the firmware and memory of the embedded controller (EC). -
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HLSL++
Math library using HLSL syntax with multiplatform SIMD support
HLSL++ is a header-only C++ math library designed to replicate the syntax and functionality of the HLSL shading language, making it easier for developers to write CPU-side code that mirrors GPU shader logic. It provides vector, matrix, and math operations with a syntax identical or very similar to HLSL, allowing seamless transition between shader code and application code. The library is optimized for performance and supports SIMD instructions across multiple architectures, including SSE, AVX, AVX2, AVX512, and ARM NEON, ensuring high efficiency on modern hardware. ... -
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Napkin Math
Techniques and numbers for estimating system's performance
Napkin Math is a technical reference project for estimating software system performance from first principles. It collects practical numbers, benchmark-style measurements, and mental models that help engineers make fast back-of-the-envelope calculations. The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume. It treats these values as... -
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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LMCache
Supercharge Your LLM with the Fastest KV Cache Layer
...These capabilities aim to lower latency, cut GPU cycles, and stabilize performance for production workloads with overlapping prompts or retrieval-augmented contexts. The end result is a cache fabric for LLMs that complements engines rather than replacing them. -
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CrossDB
Ultra High-performance Lightweight Embedded and Server OLTP RDBMS
CrossDB is a ultra high-performance, lightweight embedded and server OLTP RDBMS. It is designed for high-performance scenarios where the main memory can hold the entire database. -
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ANE Training
Training neural networks on Apple Neural Engine via APIs
...It explores the internal software stack of the Apple Neural Engine by interfacing with private classes such as _ANEClient and compiling custom compute graphs in the MIL format. The project includes performance benchmarks and kernel breakdowns that show how different components of the training loop are distributed between the ANE and CPU. It is primarily intended as a research and educational proof of concept rather than a production library, highlighting what is technically possible with undocumented hardware access. -
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Mosec
A high-performance ML model serving framework, offers dynamic batching
Mosec is a high-performance and flexible model-serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. -
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DirectX-Graphics-Samples
Samples that demonstrate how to build graphics intensive applications
This repo contains the DirectX 12 Graphics samples that demonstrate how to build graphics-intensive applications for Windows 10. In the Samples directory, you will find samples that attempt to break off specific features and specific usage scenarios into bite-sized chunks. For example, the ExecuteIndirect sample will show you just enough about execute indirect to get started with that feature without diving too deep into multiengine whereas the nBodyGravity sample will delve into multiengine... -
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SIMD
C++ wrappers for SIMD intrinsics
SIMD is a C++ library that provides portable abstractions over SIMD (Single Instruction, Multiple Data) instructions, enabling developers to write high-performance vectorized code without dealing directly with architecture-specific intrinsics. SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage complex, which xsimd addresses by offering a unified API that maps efficiently to underlying hardware capabilities. ... -
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ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
...ParallelStencil relies on the native kernel programming capabilities of CUDA.jl and AMDGPU.jl and on Base.Threads for high-performance computations on GPUs and CPUs, respectively. It is seamlessly interoperable with ImplicitGlobalGrid.jl, which renders the distributed parallelization of stencil-based GPU and CPU apps. -
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node-llama-cpp
Run AI models locally on your machine with node.js bindings for llama
...The system automatically detects the available hardware on a machine and selects the most appropriate compute backend, including CPU or GPU acceleration. Developers can use the library to perform tasks such as text generation, conversational chat, embedding generation, and structured output generation. Because it runs models locally, the platform is particularly useful for privacy-sensitive environments or offline AI deployments. -
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DALI
A GPU-accelerated library containing highly optimized building blocks
...Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding, cropping, resizing, and many other augmentations. These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference. DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
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CapFrameX
Frametime capture and analysis tool
...Importantly, the tool also integrates with sensor inputs (CPU, GPU, VRAM, temps, etc.) and overlays statistics in-game via Rivatuner Statistics Server, so you get in-situ feedback while you run. For benchmarking, it supports aggregation, filtering, outlier detection, and export of records to CSV/Excel for further analysis or reporting. The project is suited for reviewers, hardware testers, and power users who want to dig deeper than simple FPS numbers and want to diagnose performance issues.
