Search Results for "gpu max performance"
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Showing 491 open source projects for "gpu max performance"
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GPU Hot
Real-time NVIDIA GPU dashboard
GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. -
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Fan Control
Highly customizable fan controlling software for Windows
...The tool supports both manual mode (user directly sets fan speeds) and automated mode (fans follow sensor-driven graphs), enabling flexible tradeoffs between noise, cooling, and performance. Users can create and save different “profiles” (e.g. silent mode, high-performance mode, custom GPU-heavy workloads), then load them as needed. Recent versions switched their driver backend (migrating from WinRing0 to a PawnIO-based driver) to improve compatibility and avoid security/AV-flagging issues. -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. -
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Gupax
GUI Uniting P2Pool And XMRig
A versatile tool designed for managing and analyzing GPU performance across tasks. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Apple Silicon Guide
Learn all about the A17 Pro, A16 Bionic, R1, M1-series
The Apple Silicon Guide repository is a detailed resource for users adopting or migrating to Apple Silicon (M1/M2/Pro/Max/Ultra) Macs, offering a wealth of information on hardware capabilities, software compatibility, performance optimization, and tooling best practices. It covers differences between Apple Silicon and legacy Intel architectures, helping users understand how to choose software builds (arm64 vs. universal), deal with Rosetta 2 translation, and optimize workloads for native performance. ... -
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HOOMD-blue
Molecular dynamics and Monte Carlo soft matter simulation on GPUs
...Its main value is combining a flexible Python user experience with strong GPU performance for modern particle simulation research. -
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DLSSG for SM86
Here is a dlssg for RTX30 Series GPU
DLSSG for SM86 is a Windows proxy that enables NVIDIA DLSS Frame Generation on RTX 30-series Ampere and RTX 20-series Turing GPUs. It works with Direct3D 12 games by loading a proxy DLL beside the rendering executable. The package embeds a matched DLSS-G runtime and custom GPU kernels rather than requiring users to align separate runtime files. It supports multiple generated frames per rendered frame, including higher multipliers when the game’s own plugin permits them. Configurable optimization modes trade exact output for additional performance in selected builds. Diagnostic logging, capture and replay, compatibility routing, and alternate proxy DLL names help with game-specific behavior. ... -
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XMRig
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
High performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT CPU/GPU miner, RandomX benchmark, and stratum proxy. XMRig is a high-performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS, and FreeBSD. -
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Alacritty
A cross-platform, GPU-accelerated terminal emulator
Alacritty is the fastest open source terminal emulator there is. How is it the fastest? With such a strong focus on simplicity and performance, Alacritty’s included features are very carefully considered, ensuring that it remains blazingly fast. It’s got a GPU for rendering that makes a whole lot of optimizations possible. In various benchmarked terminals, Alacritty has shown to be either faster, or way faster than others. Alacritty requires no additional setup, but still allows configuration of many aspects of the terminal. ... -
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CUDA Python
Performance meets Productivity
CUDA Python is a unified Python interface for accessing and working with the NVIDIA CUDA platform, enabling developers to build GPU-accelerated applications entirely in Python. It acts as a metapackage composed of multiple submodules that provide both high-level and low-level access to CUDA functionality, including runtime APIs, driver APIs, and JIT compilation tools. The project is designed to simplify GPU programming by offering Pythonic abstractions while still exposing the full power of... -
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nviwatch
A blazingly fast rust based TUI for managing and monitoring NVIDIA GPU
NviWatch is an interactive terminal user interface (TUI) application for monitoring NVIDIA GPU devices and processes. Built with Rust, it provides real-time insights into GPU performance metrics, including temperature, utilization, memory usage, and power consumption. -
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optimizerDuck
Free, open-source Windows optimization tool for performance
...It includes performance, privacy, GPU, power, bloatware, service, and user-experience optimizations with descriptions and risk ratings. optimizerDuck runs as a single executable with no installer, and it includes backup and revert systems for safer experimentation. It is most useful for Windows users who want a guided way to debloat, tune, and reverse system changes from one place. -
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how-to-optim-algorithm-in-cuda
How to optimize some algorithm in cuda
...These examples show how different optimization techniques influence performance on modern GPU hardware and allow readers to experiment with real implementations. The repository also contains extensive learning notes that summarize CUDA programming concepts, GPU architecture details, and performance engineering strategies. -
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The Ocular Migraine
The Ocular Migraine {Dev Mode} Master Control Program
The Ocular Migraine is a powerful utility application designed for Meta Quest VR headsets that provides deep control over system-level performance, recording, and application behavior through an advanced interface. It operates as a “master control program” that leverages ADB-level access to modify device settings that are typically hidden from standard users, enabling extensive customization of CPU, GPU, and rendering parameters. The application allows users to create custom performance profiles that can automatically apply when launching specific games or applications, optimizing both visuals and performance. -
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SwiftShader
SwiftShader is a high-performance CPU-based implementation
SwiftShader is Google’s high-performance CPU-based implementation of the Vulkan 1.3 graphics API, designed to provide a hardware-independent rendering solution for 3D graphics. Unlike traditional GPU drivers, SwiftShader executes graphics commands entirely on the CPU, making it ideal for environments where dedicated graphics hardware is unavailable or unsuitable. It acts as a drop-in replacement for Vulkan drivers, allowing existing applications to run seamlessly by redirecting API calls through its software-based rendering engine. ... -
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ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance bound of the used Nvidia P100 GPU, as defined by the effective throughput metric, T_eff. ... -
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XenosRecomp
A tool for converting Xbox 360 shaders to HLSL
...The project addresses one of the most complex aspects of console reverse engineering, which is accurately reproducing proprietary GPU behavior in a portable and efficient way. By reconstructing the graphics pipeline, XenosRecomp enables developers to render scenes correctly without relying on emulation layers that can introduce performance overhead or inaccuracies. -
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PowerInfer
High-speed Large Language Model Serving for Local Deployment
PowerInfer is a high-performance inference engine designed to run large language models efficiently on personal computers equipped with consumer-grade GPUs. The project focuses on improving the performance of local AI inference by optimizing how neural network computations are distributed between CPU and GPU resources. Its architecture exploits the observation that only a subset of neurons in large models are frequently activated, allowing the system to preload frequently used neurons into GPU memory while processing less common activations on the CPU. ... -
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Fabulously Optimized
A simple Minecraft modpack focusing on performance and graphics
A simple Minecraft modpack focusing on performance and graphics enhancements. A Minecraft modpack focused on performance, providing a smooth experience with multiple optimization mods. -
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CubeCL
Multi-platform high-performance compute language extension for Rust
CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL. CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory layouts, parallelism, and execution patterns while still maintaining a developer-friendly syntax. ... -
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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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Xenia Canary
Xbox 360 Emulator Research Project
Xenia Canary is an experimental fork of the Xenia Xbox 360 emulator that moves faster than the mainline project to trial bleeding-edge improvements. It focuses on game compatibility and performance by iterating quickly on GPU and CPU emulation paths, shader translation, and timing correctness. Canary builds are where risky optimizations, new backends, and rewrites land first so they can be tested by a wider community before stabilizing. The project emphasizes pragmatism: make more titles boot and run with fewer glitches, even if it means carrying experiments that later get refined or rolled back. ... -
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NVIDIA Profile Inspector
Modify game profiles inside the internal driver database
NVIDIA Profile Inspector is a specialized utility that allows users to view and modify hidden graphics driver settings within NVIDIA’s internal profile database, providing deeper control than the official NVIDIA Control Panel. It exposes advanced and undocumented configuration options that can influence rendering behavior, performance optimization, and compatibility for specific games. Users can create, edit, and assign profiles for individual applications, enabling fine-grained tuning of GPU behavior beyond standard settings. The tool is particularly popular among enthusiasts who want to optimize performance, troubleshoot graphical issues, or enable experimental features such as custom DLSS configurations. ... -
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luma.gl
High-performance Toolkit for WebGL-based data visualization
luma.gl is a GPU toolkit for the Web-focused primarily on data visualization use cases. luma.gl aims to provide support for GPU programmers that need to work directly with shaders and want a low abstraction API that remains conceptually close to the WebGPU and WebGL APIs. Unlike other common WebGL APIs, the developer can choose to use the parts of luma.gl that support their use case and leave the others behind. While generic enough to be used for general 3D rendering, luma.gl's mandate is... -
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KonaBess
A GPU overclock & undervolt tool for various Snapdragon chips
KonaBess is a straightforward application designed to customize GPU frequency and voltage tables without the need for kernel recompilation. The application achieves customization by unpacking the Boot/Vendor Boot image, decompiling and editing relevant dtb (device tree binary) files, and finally repacking and flashing the modified image. The extent of improvement varies, with some users reporting a 25% reduction in power consumption in the graphics benchmark (4.2w->3.2w) after undervolting...
