Search Results for "linux cpu" - Page 4
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Showing 224 open source projects for "linux cpu"
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Systray Memory Display
Show your system memory usage on an icon in the system tray.
... and totally free. Running it on Linux: • Extract the zip archive. • Right-click memtray and memtray.sh, and under "Permissions", choose to make them both executable. • Open the program by executing memtray.sh. -
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hyperion-project
An open source ambient light for many systems
Hyperion is an open source ambient light implementation controlled primarily by an Raspberry Pi. The main features of Hyperion are: 1. Low CPU load. For a led string of 50 leds the CPU usage will typically be below 2% on a non-overclocked Pi. 2. Json interface which allows easy integration into scripts. 3. A command line utility allows easy testing and configuration of the color transforms (Transformation settings are not preserved over a restart at the moment...). 4. Priority channels... -
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Simd
High performance image processing library in C++
... supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems. -
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Napa.js
Napa.js, a multi-threaded JavaScript runtime
Napa.js is a multi-threaded JavaScript runtime built on V8, which was originally designed to develop highly iterative services with non-compromised performance in Bing. As it evolves, we find it useful to complement Node.js in CPU-bound tasks, with the capability of executing JavaScript in multiple V8 isolates and communicating between them. Napa.js is exposed as a Node.js module, while it can also be embedded in a host process without Node.js dependency. Multi-threaded JavaScript runtime... -
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NNVM
Open deep learning compiler stack for cpu, gpu
The vision of the Apache NNVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models into minimum deployable modules. Infrastructure to automatically generates and optimize models on more backend with better performance.... -
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Simple program that displays information about CUDA-enabled devices. The program is equipped with GPU performance test.
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This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.
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Diffraction calculations are used in wide-ranging optics fields. We develop a new C++ class library for diffraction and CGH calculations, which is referred as to a CWO++ library, running on a CPU and GPU.
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Edge.js
Run .NET and Node.js code in-process on Windows, MacOS, and Linux
An edge connects two nodes. This edge connects Node.js and .NET. V8 and CLR/.NET Core/Mono - in process. On Windows, MacOS, and Linux. You can script C# from a Node.js process. Edge.js allows you to run Node.js and .NET code in one process on Windows, MacOS, and Linux. You can call .NET functions from Node.js and Node.js functions from .NET. Edge.js takes care of marshalling data between CLR and V8. Edge.js also reconciles threading models of single threaded V8 and multi-threaded CLR. Edge.js... -
A new approach to fast data transfer | IBM AsperaIBM Aspera takes a different approach to tackling the challenges of big data movement over global WANs. Rather than optimize or accelerate data transfer, Aspera eliminates underlying bottlenecks by using a breakthrough transport technology that fully utilizes available network bandwidth to maximize speed and quickly scale up with no theoretical limit.
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ptbench
CPU and RAM stressing and monitoring
This package provides you 2 C++ applications to stress and monitor your CPU and RAM under Linux. Find a lack of performance (not enough cores/threads or too little clock speed) and memory/resource leaks or a lack of RAM. -
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JILRuntime/JewelScript
An object-oriented script language to embed in any application
A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds.... -
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CUBiBit
Tool to search binary biclusters on CUDA-enabled GPUs
... phase of the algorithm on several CPU cores. -
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Various emulators and experiments
Atari 2600, C64, Python, 3D engines and rock'n roll
MVE is an acronym for Modular Virtual Engine. It provides an interface for programming and running (your own) units (virtual machines), each unit consisting of several modules (CPU, Video, Audio, Input, Drive, et cetera). Furthermore the Modular Virtual. This project has been frozen because of lack of motivation. But what you will find here, is a lot assembly code for the Atari 2600 and C64, experiments with 3D math on Python. -
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ejSerial
Serial connection Java library
Java library to send and receive data via Serial COM-Ports. This library is intended to provide an easy way to access the serial-port. Only a few lines of code are needed to Read or Write data via serial port. All Properties and Methods are inspired by the "SerialPort"-Class of the .NET Framework (System.IO.Ports.SerialPort) The benefit of this project is, that it needs only a few lines of code to implement, and a reduced CPU load. Static Methods are available to send/receive... -
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LinAsm
Collection of fast and optimized assembly libraries for x86-64 Linux
LinAsm is collection of very fast and SIMD optimized assembly written libraries for x86-64 Linux. It implements many common and widely used algorithms for array manipulations: searching, sorting, arithmetic and vector operations, unit conversions; fast mathematical and statistic functions; numbers and time converting algorithms; finite impulse response (FIR) digital filters; spectrum analysis algorithms, Fast Hartley transformation; CPU cache friendly functions and extremely fast abstract... -
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SFML Voxel Raycaster
Simple voxel raycasting engine in SFML with multithreading support
Voxel raycasting engine written in C++ drawed by SFML, curently in alpha preview state. Currently rays are computed by CPU and performance is low and far away from realtime. -
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ADI Buildroot
Buildroot Linux distribution for ADI Blackfin and future processors.
Buildroot is a set of Makefiles and patches that makes it easy to generate a complete embedded Linux system. Buildroot can generate a kernel image, various libraries and applications in a root filesystem. Buildroot is useful mainly for people working with small or embedded systems, using various CPU architectures (x86, ARM, Blackfin, MIPS, PowerPC, etc.). It automates the building process of your embedded system and eases the cross-compilation process. If you're new to buildroot Linux... -
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Advanced Batch Image Converter
Multiplatform tool for batch image conversion
ABIC is a multiplatform tool for converting images from and to a wide variety of formats, for example: JPEG, TIFF, PNG, JPEG-2000, WebP. It can also read some historic ones, in particular Amiga IFF (ILBM). ABIC is completely free, open sourced, and is also entirely nag-free. -
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NuxSFM (CLOSED)
A Arch Linux x86_64 distro for Structure From Motion
Pierre-Yves, August 2016 -
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department... -
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Aquila
Software Architecture for Cognitive Robotics
Aquila 2.0, an open-source cross-platform software architecture for cognitive robotics that makes use of independent heterogeneous CPU-GPU modules with loosely coupled dynamically generated graphical user interfaces. -
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steam-sim
An accurate, scalable, and energy-aware simulator for WSNs
STEAM-Sim establishes a hardware/software/network co-simulation of wireless sensor networks. Original C code is used in simulation. The code is natively executed by the cpu where the simulation is run. The time annotation engine annotates the C source code used for simulation with the timing information as if the code is run on a microcontroller. The annotation process is fully automated. Hardware models are developed using the PAWiS framework and reflect the timing, functionality... -
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating... -
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MICA-aligner
Next-generation sequencing short reads aligner based on Intel® MIC
Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity...