Showing 4 open source projects for "cuda gpu memtest windows"

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  • 1
    KeyKiller-Cuda

    KeyKiller-Cuda

    Solving the Satoshi Puzzle

    KeyKiller is a GPU-accelerated version of the KeyKiller project, designed to achieve extreme performance in solving Satoshi Nakamoto's puzzles using modern NVIDIA GPUs. KeyKiller CUDA pushes the limits of cryptographic key search performance by leveraging CUDA, thread-beam parallelism, and batch EC operations. The command-line version is open-source and free to use. For the paid advanced graphics version, please visit: https://gitlab.com/8891689/KeyKiller-Cuda/
    Downloads: 20 This Week
    Last Update:
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  • 2
    Mnemonic-Recovery-CUDA

    Mnemonic-Recovery-CUDA

    Written in C/CUDA, this tool recovers lost mnemonics and passphrases f

    Written in C/CUDA, this tool recovers lost mnemonics and passphrases for BTC, ETH, TRX, DOGE, LTC, DASH, ZEC, BCH, and BTG. Supports BIP32/44/49/84 derivation paths. Features partial phrase recovery and a built-in dictionary for fast, efficient results. Compliant with wallet standards.
    Downloads: 7 This Week
    Last Update:
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  • 3
    VanitySearch

    VanitySearch

    VanitySearch is a Bitcoin address prefix lookup tool.

    VanitySearch is a Bitcoin address prefix lookup tool. If you want to generate a secure private key, use the `-s` option to enter your passphrase, which will be used to generate the base key conforming to the BIP38 standard (e.g., `VanitySearch.exe -s "my passphrase" 1MyPrefix"`). You can also use `VanitySearch.exe -ps "my passphrase"`, which adds a cryptographically secure seed to your passphrase.Fixed custom address matching errors and private key conversion errors, changed the randomizer,...
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    Downloads: 15 This Week
    Last Update:
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  • 4

    gxLibrary : C++ (CUDA+AMP+CPU)

    C++ library for easy simulations on any CUDA/AMP/CPU or remote PC

    Helps to program ( in C++) simulations or long-running calculations with many iterations. Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for...
    Downloads: 0 This Week
    Last Update:
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