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8 repository-uri

Awesome GitHub RepositoriesOpenCL Accelerators

Implementations that execute image processing algorithms on heterogeneous hardware using OpenCL.

Distinct from Hardware Acceleration: Distinct from general hardware acceleration: focuses specifically on OpenCL-based heterogeneous compute.

Explore 8 awesome GitHub repositories matching operating systems & systems programming · OpenCL Accelerators. Refine with filters or upvote what's useful.

Awesome OpenCL Accelerators GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • hashcat/hashcatAvatar hashcat

    hashcat/hashcat

    26,200Vezi pe GitHub↗

    Hashcat is a high-performance hash cracking software and OpenCL compute application used to recover plain-text passwords from hashed data. It functions as a GPU-accelerated recovery tool and distributed password cracker, leveraging CPUs and GPUs to perform intensive cryptographic computations. The system differentiates itself through a distributed cracking workflow that coordinates tasks across multiple machines via an overlay network to share computational load. It further optimizes recovery speed using Markov chain keyspace optimization to prioritize the most likely password candidates. Th

    Uses OpenCL to offload heavy cryptographic hashing computations to heterogeneous hardware for maximum throughput.

    C
    Vezi pe GitHub↗26,200
  • imagemagick/imagemagickAvatar ImageMagick

    ImageMagick/ImageMagick

    15,742Vezi pe GitHub↗

    ImageMagick is a comprehensive software suite for the creation, editing, composition, and conversion of digital images. It functions as both a command-line utility for batch processing and automation, and as a programming library that allows developers to integrate advanced image manipulation capabilities into external applications. The project is distinguished by its modular architecture, which supports hundreds of image formats through a pluggable coder system and external delegate libraries. It is designed for high-performance environments, utilizing memory-mapped pixel caching, stream-ori

    Executes image processing algorithms on heterogeneous hardware including GPUs and CPUs using OpenCL.

    Ccommand-line-image-tooldigital-image-editingimage-conversion
    Vezi pe GitHub↗15,742
  • darktable-org/darktableAvatar darktable-org

    darktable-org/darktable

    12,039Vezi pe GitHub↗

    Darktable is a professional photography post-production suite and digital asset management system designed for the end-to-end processing of raw sensor data. It provides a comprehensive environment for photographers to perform color correction, exposure adjustment, and image retouching while maintaining a non-destructive workflow that keeps original source files unchanged. The software utilizes a modular plugin architecture and a pixelpipe processing pipeline to execute image manipulations, allowing for custom editing workflows. It incorporates a color-managed display pipeline that uses intern

    Offloads computationally intensive pixel calculations to the graphics processing unit using OpenCL for real-time responsiveness.

    C
    Vezi pe GitHub↗12,039
  • xmrig/xmrigAvatar xmrig

    xmrig/xmrig

    9,998Vezi pe GitHub↗

    XMRig is a multi-algorithm hashing tool and cryptocurrency miner that utilizes CPU, CUDA, and OpenCL hardware to execute hashing algorithms across multiple operating systems. It functions as a computational engine for mining cryptocurrency and benchmarking hardware efficiency. The project includes a Stratum proxy server that routes mining traffic between worker clients and pools to optimize connectivity and balance load. It also provides a secured HTTP management API for monitoring hashrates and modifying miner configuration in real time without restarting the process. The software covers a

    Utilizes OpenCL compatible GPU hardware for hash computation with specific platform and device targeting.

    Cargon2cpuminercryptocurrency
    Vezi pe GitHub↗9,998
  • lwjgl/lwjgl3Avatar LWJGL

    LWJGL/lwjgl3

    5,269Vezi pe GitHub↗

    LWJGL is a cross-platform library that provides Java bindings to native APIs for graphics, audio, compute, windowing, and input. It enables Java applications to access low-level hardware-accelerated capabilities such as OpenGL and Vulkan rendering, OpenAL 3D audio, OpenCL GPU compute, and GLFW windowing and input handling. Under the hood, LWJGL dynamically resolves native function pointers at runtime, loads platform-specific shared libraries, and uses generated JNI bindings to bridge Java and native code. It offers explicit memory management through direct buffer access and stack-allocated me

    Provides OpenCL bindings to execute data-parallel computations on GPUs and accelerators from Java.

    Javabindingsfmodfreetype
    Vezi pe GitHub↗5,269
  • projectphysx/fluidx3dAvatar ProjectPhysX

    ProjectPhysX/FluidX3D

    5,148Vezi pe GitHub↗

    FluidX3D este un solver de dinamică a fluidelor computaționale (CFD) accelerat pe GPU și un simulator de fluide bazat pe voxeli. Utilizează metoda lattice Boltzmann pentru a simula comportamentul gazelor și lichidelor, presiunea și viteza printr-o abstractizare hardware bazată pe OpenCL care suportă atât procesoare grafice, cât și CPU-uri. Sistemul se specializează în simularea fluxului multifazic folosind metode volume-of-fluid pentru modelarea suprafeței libere și a picăturilor. Include un simulator termic pentru modelarea transferului de căldură și a convecției termice, alături de instrumente pentru analiza forțelor aerodinamice pentru a calcula portanța, rezistența și cuplul asupra obiectelor fizice. Software-ul oferă o suită cuprinzătoare de capabilități de simulare, inclusiv urmărirea particulelor Lagrangian pentru interacțiunea fluidă bidirecțională, animația obiectelor rotative prin re-voxelizare periodică și stabilizarea fluxului turbulent pentru numere Reynolds ridicate. Gestionează datele prin importul geometriei mesh-urilor triunghiulare și suportă diverse metode de vizualizare, inclusiv extracția suprafeței prin marching cubes, rasterizarea în memorie și randarea video. Performanța este gestionată prin descompunerea domeniului multi-GPU și compresia memoriei în jumătate de precizie (half-precision).

    Provides an OpenCL-based hardware abstraction to execute simulation kernels across diverse GPUs and CPUs.

    C++benchmarkcfdcomputational-fluid-dynamics
    Vezi pe GitHub↗5,148
  • google/angleAvatar google

    google/angle

    4,032Vezi pe GitHub↗

    This project is a cross-platform graphics wrapper and translation layer that implements the OpenGL ES and EGL specifications. It functions as a graphics API bridge, mapping OpenGL ES calls and WebGL content to platform-specific hardware APIs such as Vulkan and Metal to ensure consistent rendering across different operating systems. The system features a shader translation service that validates shading language code and transpiles it into multiple target languages, including HLSL, SPIR-V, and Metal SL. It employs a pluggable backend architecture to select the appropriate hardware rendering AP

    Executes compute calls by integrating with system loaders or linking directly to graphics libraries via OpenCL.

    C++
    Vezi pe GitHub↗4,032
  • intel/compute-runtimeAvatar intel

    intel/compute-runtime

    1,408Vezi pe GitHub↗

    The compute runtime is a software layer that provides unified interfaces for parallel processing, kernel execution, and hardware-specific driver communication. It functions as a driver for OpenCL and OneAPI Level Zero, enabling the execution of data-intensive workloads across diverse graphics hardware architectures. The project distinguishes itself by maintaining consistent performance and compatibility across multiple generations of graphics hardware. It achieves this through a hardware abstraction layer that bridges high-level compute instructions with specific silicon capabilities, alongsi

    Provides a runtime driver that enables OpenCL and Level Zero compute execution on graphics hardware.

    C++computegpgpugpu
    Vezi pe GitHub↗1,408
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  3. Hardware Interfacing and Drivers
  4. Hardware Acceleration
  5. OpenCL Accelerators