Search Results for "intel cpu mining"
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Showing 89 open source projects for "intel cpu mining"
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Intel PCM
Intel® Performance Counter Monitor (Intel® PCM)
Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems. -
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FastSD CPU
Fast stable diffusion on CPU and AI PC
...The repository contains multiple interfaces including a desktop GUI for simple generation, an advanced web-based UI with support for extensions like LoRA and ControlNet, and a command-line interface for scripted usage or server deployments. With support for performance-oriented libraries such as OpenVINO and hardware acceleration on platforms like Intel AI PCs, FastSD CPU aims to shrink generation times dramatically compared with naive CPU implementations. -
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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. The preferred way to configure the miner is the JSON config file as it is more flexible and human-friendly. -
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Throttled
Workaround for Intel throttling issues in Linux
This tool was originally developed to fix Linux CPU throttling issues affecting Lenovo T480 / T480s / X1C6. The CPU package power limit (PL1/2) is forced to a value of 44 W (29 W on battery) and the temperature trip point to 95 'C (85 'C on battery) by overriding default values in MSR and MCHBAR every 5 seconds (30 on battery) to block the Embedded Controller from resetting these values to default. On systems where the EC doesn't reset the values (ex: ASUS Zenbook UX430UNR), the power limit... -
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auto-cpufreq
Automatic CPU speed & power optimizer for Linux
Automatic CPU speed & power optimizer for Linux. Actively monitors laptop battery state, CPU usage, CPU temperature, and system load, ultimately allowing you to improve battery life without making any compromises. -
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Likwid
Performance monitoring and benchmarking suite
Likwid is a simple to install and use toolsuite of command line applications and a library for performance oriented programmers. It works for Intel, AMD, ARMv8 and POWER9 processors on the Linux operating system. There is additional support for Nvidia and AMD GPUs. There is support for ARMv7 and POWER8/9 but there is currently no test machine in our hands to test them properly. -
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CTranslate2
Fast inference engine for Transformer models
...The project supports x86-64 and AArch64/ARM64 processors and integrates multiple backends that are optimized for these platforms: Intel MKL, oneDNN, OpenBLAS, Ruy, and Apple Accelerate. -
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OSX-KVM
Run macOS on QEMU/KVM
...The project can fetch installers for multiple macOS generations, prepare installation media, and guide users through the complete virtual machine setup. It supports Intel VT-x and AMD SVM hosts, although newer macOS releases impose additional CPU instruction requirements. Included resources cover networking, libvirt, offline installation, headless operation, diagnostics, cloud environments, and GPU passthrough experiments. The repository is useful for macOS testing, development, research, and build-farm scenarios on compatible hardware. ... -
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OpenVINO
OpenVINO™ Toolkit repository
...Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks. Use models trained with popular frameworks like TensorFlow, PyTorch and more. Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud. This open-source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi. -
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GameMode
Optimise Linux system performance on demand
GameMode is a daemon/lib combo for Linux that allows games to request a set of optimizations be temporarily applied to the host OS and/or a game process. GameMode was designed primarily as a stop-gap solution to problems with the Intel and AMD CPU power save or on-demand governors but is now host to a range of optimization features and configurations. -
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Open Hardware Monitor
Monitor temperature sensors, fan speeds, voltages, load & clock speeds
Open Hardware Monitor is a free and open-source hardware monitoring tool that helps users track the health and performance of their computer. It monitors key system metrics such as CPU temperatures, fan speeds, voltages, clock speeds, and system load. The software supports many hardware monitoring chips commonly found on modern motherboards. It can also read Intel and AMD processor temperature sensors, GPU sensors from ATI and Nvidia cards, and SMART hard drive temperatures. Users can view monitored values in the main window, system tray, or a customizable desktop gadget. ... -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. ... -
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Python Bitcoin Miner
mining with cpu and gpu.
Powerful tool. -
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ET-Optimizer
ET is a powerful application to improve performance
ET-Optimizer is a performance optimization tool designed to enhance system responsiveness and efficiency by applying targeted configurations and tweaks to operating system settings and background processes. It focuses on improving performance in specific use cases such as gaming or real-time applications where latency and system overhead are critical factors. The tool typically includes scripts or automated routines that adjust system parameters, disable unnecessary services, and optimize... -
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AstroMiner
cryptocurrency mining software
AstroMiner is an open-source cryptocurrency mining software project focused on providing a lightweight, transparent, and community-driven mining experience. AstroMiner currently focuses on CPU mining, with GPU mining support planned for future releases. The goal is to provide a simple, configurable miner with pool connections, worker settings, performance monitoring, and support for multiple algorithms and cryptocurrencies. -
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xm-crypter-miner
Power of a computer or specialized hardware to mine cryptocurrencies
A crypto miner tool that is updated from cpuminer and is a software application designed to harness the processing power of a computer or specialized hardware to mine cryptocurrencies. It performs complex mathematical calculations to validate and secure transactions on a blockchain network, helping to maintain the decentralized nature of the currency. The tool typically supports various cryptocurrencies and allows users to configure parameters such as mining algorithms, pool settings, and... -
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AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
...There are only two requirements you need to make sure: You need the DVD ISO images and a Hyper-V host or an Azure subscription. Requires Windows Management Framework 5+ (Windows). Requires Intel VT-x or AMD/V capable CPU, a decent amount of RAM, and low-latency high-throughput storage (No spinning disks please, as there are issues related to them). This solution supports setting up virtual machines with Windows 7, 2008 R2, 8 / 8.1 and 2012 / 2012 R2, 10 / 2016, 2019, and SQL Server 2008, 2008R2, 2012, 2014, 2016, 2017, 2019. -
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uqoin-client
CLI tool for Uqoin network access and coin mining.
uqoin-client is a command-line tool for interacting with the Uqoin blockchain network. It allows users to send and receive transactions, manage their wallet, and participate in client-side mining directly from the terminal. The client is lightweight, efficient, and written entirely in Rust for maximum performance and security. It supports both Ubuntu and Windows platforms and is suitable for both power users and developers who want direct access to the Uqoin protocol. The tool uses Ed25519-based cryptography and supports mining via CPU. ... -
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MEmu Emulator
Powerful Android emulator optimized for gaming with high performance
MEmu Play is a high-performance Android emulator designed specifically for Windows PC gaming. Run mobile games and apps seamlessly on your computer with superior speed and graphics. Features multi-instance support for running multiple accounts simultaneously, customizable keyboard mapping, and excellent compatibility with popular games like PUBG Mobile, Free Fire, and Genshin Impact. Optimized for both AMD and Intel processors with advanced virtualization technology. Supports Android 5.1,... -
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LDPatternCreator
Create and edit patterned parts quick and easy.
...Your configuration won't be deleted if you have already a version greater than 1.3.1 installed on your machine. Minimum System Requirements: - Operating System: Windows Vista, Windows 7/8/10 - CPU: Intel Pentium 4, AMD Athlon 64 or newer.. - RAM: 500 MB - Video-Memory: 256 MB - Free Disk Space: 5 MB - .NET-Framework (Version >= 2.0) Recommended Requirements: - Operating System: Windows 7 or 10 - CPU: Multicore-Processor e.g. Intel Core 2 Duo or AMD Athlon II (>=2,0Ghz) - RAM: >1.500 MB - Video-Memory: 256 MB - Free Disk Space: 100 MB - .NET-Framework (Version >= 2.0 until 1.4.7 / 4.0 for >1.5.0) Note to users of versions lesser than 1.5.7: You’ll need administrator privileges to install the software. -- Developed in Germany by Nils Schmidt - nilsschmidt1337 -
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Prime number ( primenumbers )
Benchmark for 50 000 000 prime numbers as single and multicore
Simple source files and compiled JAR Java programs, for benchmark 50 000 000 cycle finding prime numbers. On Intel(R) Core(TM) i5-8600K CPU, Windows 10 20H2, i have 39 second on single core and 7,6 second on multi core. (PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). -
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... ⚡ Key Features: • Super lightweight ISO (263MB) • Fast boot and low memory footprint • Clean, minimal user interface • Pre-installed basic tools: file manager, text editor, terminal, and more • Perfect for reviving old PCs or running in lightweight virtual environments 🖥️ Minimum System Requirements: • CPU: Intel Pentium II / AMD K6-2 or newer (32-bit) • RAM: 256 MB minimum • Storage: 400 MB free disk space Website: xxri.flows.best Maintained by: xxri OS Team
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3DPass
The Implementation of The Ledger of Things Node. Layer 1 decentralized
...This approach enforces authenticity at the content level, something traditional file storage and NFT systems cannot achieve. The features of 3DPass include: Proof of Scan consensus, enforced uniqueness of 3D objects, CPU-only mining with no pools, object tokenization through the 3DPRC-2 standard, EVM compatibility, native web and mobile wallets, and open-source community governance. -
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PI-Based Image Encoder / Converter
Python code able to convert / compress image to PI (3.14, π) Indexes
...ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ... -
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Gaming 2026
TN365 Gaming Edition – Ubuntu 24.04 LTS, GNOME 46 Boosté
TN365 Gaming Edition – Ubuntu 24.04 LTS, GNOME 46, Kernel 7.0 optimisé. Steam, Proton GE, Lutris, Heroic, GameMode, MangoHUD, WineHQ, Waydroid Gaming. Système prêt pour le jeu PC et Android, interface moderne TN365.
