Showing 29 open source projects for "linux-libre kernel"

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  • 1
    BeaEngine 5

    BeaEngine 5

    BeaEngine disasm project

    BeaEngine is a C library designed to decode instructions from 16-bit, 32-bit and 64-bit intel architectures. It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the...
    Downloads: 0 This Week
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  • 2

    ViennaCL

    Linear algebra and solver library using CUDA, OpenCL, and OpenMP

    ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.
    Downloads: 12 This Week
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  • 3
    PhotoJShop

    PhotoJShop

    Photo editing JavaScript library

    PhotoJShop is a JavaScript library for photo editing using the canvas and kernel convolution matrixes, aiming to reproduce the most usual filters. A demo of its capabilities can be seen in Nuophoto, a project that uses this library for all the editing. The idea is to provide a simple library to developers that will allow quick integration of photo filters to their website. After including jQuery, include photojshop.jquery.js. Once loaded you simply need to call it on a valid element. You...
    Downloads: 0 This Week
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  • 4

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
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