Search Results for "intel cpu simulator"
Sort By:
Showing 100 open source projects for "intel cpu simulator"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
1
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. -
2
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. -
3
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... -
4
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. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
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. -
6
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. -
7
CoreFreq
CPU monitoring and tuning software designed for the 64-bit processors
CoreFreq is a low-level CPU monitoring and tuning tool for 64-bit processors. It is designed to retrieve processor data with a high degree of precision and expose details that are often hidden from simpler monitoring utilities. The project supports a wide range of processor families, including Intel, AMD, Arm A64, RISC-V RV64, and PowerPC64 little-endian systems. -
8
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. ... -
9
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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
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. ... -
11
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. ... -
12
DuckStation
Fast PlayStation 1 emulator for x86-64/AArch32/AArch64
DuckStation is an simulator/emulator of the Sony PlayStation(TM) console, focusing on playability, speed, and long-term maintainability. The goal is to be as accurate as possible while maintaining performance suitable for low-end devices. "Hack" options are discouraged, the default configuration should support all playable games with only some of the enhancements having compatibility issues. A "BIOS" ROM image is required to to start the emulator and to play games. You can use an image from... -
13
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. -
14
Quantum++
Modern C++ quantum computing library
Quantum++ is a modern C++ general-purpose quantum computing library, composed solely of template header files. Quantum++ is written in standard C++17 and has very low external dependencies, using only the Eigen 3 linear algebra header-only template library and, if available, the OpenMP multiprocessing library. Quantum++ is not restricted to qubit systems or specific quantum information processing tasks, being capable of simulating arbitrary quantum processes. The main design factors taken in... -
15
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. -
16
GlouOS
A blazingly fast, gaming Linux distro built for gamers.
GlouOS a linux distro built around familiarity for gamers moving from Windows 11 to Linux. GlouOS mimics the Windows 11 style while removing bloat and making the system as convenient and as smooth as possible. GlouOS aims to remove the terminal nightmare Linux beginners often struggle with by implementing an interface for most features while also aiming for a plug-and-play type approach from installation. -
17
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). -
18
LDPartEditor
Create and edit LDraw™ parts quick and easy.
...Minimum System Requirements: - OpenGL 2.1 compatible Graphics Card - Operating System (64-bit): Windows [7 or newer], Mac OS X [>=14], Linux [e.g. Linux Mint >=22] - CPU: Multicore-Processor e.g. Intel Core 2 Duo or AMD Athlon II (>2.0Ghz) - RAM: 4 GB - Video-Memory: 1 GB - Free Disk Space: 150 MB Recommended Requirements: - OpenGL 3.3 compatible Graphics Card - Operating System (64-bit): Windows 7,8,10,11, Mac OS X [>=14], Linux [e.g. Linux Mint >=22] - CPU: Multicore-Processor with 4 cores (or more) - RAM: >4 GB - Video-Memory: >1 GB - Free Disk Space: 512 MB The sourcecode is now hosted on GitHub here: http://nilsschmidt1337.github.io/ldparteditor/ -
19
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. -
20
Yet Another BACnet Explorer
Graphical explorer for BACnet and Free BACnet library in C#
...Supports BACnet MS/TP, Ethernet, IPv4, IPv6, SecureConnect Basic functions for read, write, read multiple, write multiple, iam, whois, subscribeCOV, notify, WriteFile, ReadFile etc. Includes three demo server applications : a generic server, a wall mounted room controller simulator, a weather server (gets data from an Internet webservice). Includes a lot of samples C# source code. Raspberry Pi server sample code, also tested on Beaglebone & Intel Edison. Bacnet/Mstp capture tool (only Wireshark and an Rs485 adaptor are required) BACnet/SC Hub sample application. See Readme.txt for more information. ... -
21
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! ... -
22
Rust Gamma
gamma switcher for Rust with instant hotkey
Rust Gamma Pro is a lightweight, hardware-level display utility designed for Rust players. In Rust, nighttime visibility is extremely low. Players often minimize their game to manually adjust gamma sliders in the NVIDIA Control Panel or AMD Software, then restore them when daytime returns. Rust Gamma Pro automates this routine using native Windows Hardware LUT APIs (SetDeviceGammaRamp), allowing instant, one-key switching between night and day gamma levels without leaving the... -
23
Internet Friendly Media Encoder
Simple, Flexible & Powerful H.265/HEVC & H266/VVC video encoder!
...The software also supports AviSynth for advanced video processing. The video and audio encoders are implemented in a plug-in style, enabling users to add their own compiled, optimized CPU architectures for increased speed. This modular design ensures that the encoder remains adaptable and expandable, allowing for the addition of new and future encoding technologies. Internet Friendly Media Encoder also supports hardware acceleration from Intel, AMD, and NVidia for encoding in H264, H265, and AV1 formats. -
24
This is a freedom software and it obeys opensource initiative. The main purpose of this project is to bring extra updates to the existing Octave OCL project with more supporting PC devices as well as mobile devices. Due to the fact tremendous time and energy has been spent on its working on many devices, the project name is changing to AnyArray to reflect it is really working on many devices on March 2026. Ever since started providing extra GPU Compute support, it has been for...
-
25
OpenFace Face Recognition
Face recognition with deep neural networks
OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. ...
