Cyclone CUDA is the GPU-powered version of the Cyclone project, designed to achieve extreme performance in solving Satoshi puzzles on modern NVIDIA GPUs.
Leveraging CUDA, warp-level parallelism, and batch EC operations, Cyclone CUDA pushes the limits of cryptographic key search.

Secp256k1 math is based on the excellent work from JeanLucPons/VanitySearch, and FixedPaul/VanitySearch-Bitcrack with major CUDA-specific modifications.
Special thanks to Jean-Luc Pons for his foundational contributions to the cryptographic community.

Cyclone CUDA also is the simplest CUDA-based project for solving Satoshi puzzles on GPU.
It was designed with clarity and minimalism in mind — making it easy to compile, understand, and run, even for those new to CUDA programming.

Despite its simplicity, Cyclone CUDA leverages massive GPU parallelism to achieve extreme performance in elliptic curve computations and Hash160 pipelines.

⚠️ Achieved 6Gkeys/s on RTX4090.

• GPU Acceleration: Optimized for NVIDIA GPUs with full CUDA support.
• Massive Parallelism: Tens of thousands of threads computing elliptic curve points and hash160 simultaneously.
• Batch EC Operations: Efficient group addition and modular inversion with warp-level optimizations.
• Grid/Batch Control: Fully configurable GPU execution with --grid parameter (threads per batch × points per batch).
• Cross-Platform: Works on Linux and Windows (via WSL2 or MinGW cross-compilation).
• Cross Architecture: Automatic compilation for different architectures (75 86 89).
• Extremely low VRAM usage: Key feature! For low price rented GPU.

• --range: range of search. Must be a power of two!
• --address: P2PKH address.
• --target-hash160: the same as address but hash160.
• --grid: very usefull parameter. Example --grid 512,512 - first 512 - number of points each thread will process in one batch (Points batch size)., second 512 - number of threads in one group (Threads per batch).

Below is an example run of Cyclone CUDA.

RTX4060

./CUDACyclone --range 2000000000:3FFFFFFFFF --address 1HBtApAFA9B2YZw3G2YKSMCtb3dVnjuNe2 --grid 512,256
======== PrePhase: GPU Information ====================
Device               : NVIDIA GeForce RTX 4060 (compute 8.9)
SM                   : 24
ThreadsPerBlock      : 256
Blocks               : 4096
Points batch size    : 512
Batches/SM           : 256
Memory utilization   : 6.9% (538.3 MB / 7.63 GB)
------------------------------------------------------- 
Total threads        : 1048576

======== Phase-1: Brooteforce =========================
Time: 8.0 s | Speed: 1268.9 Mkeys/s | Count: 10204470016 | Progress: 7.42 %

======== FOUND MATCH! =================================
Private Key   : 00000000000000000000000000000000000000000000000000000022382FACD0
Public Key    : 03C060E1E3771CBECCB38E119C2414702F3F5181A89652538851D2E3886BDD70C6

RTX4090

./CUDACyclone --range 400000000000000000:7fffffffffffffffff --address 1PWo3JeB9jrGwfHDNpdGK54CRas/fsVzXU --grid 512,512
======= PrePhase: GPU Information
Device: NVIDIA GeForce RTX 4090 (compute 8.9)
SM                   : 128
ThreadsPerBlock      : 256
Blocks               : 65536
Points batch size    : 512
Batches/SM           : 512
Memory utilization   : 14.5% (3.42 GB / 23.5 GB)
------------------------------------------------------- 
Total threads: 16777216

======== Phase-1: Brooteforce =========================
Time: 30.1 s | Speed: 6038.9 Mkeys/s | Count: 182904267648 | Progress: 0.00 %

To get started with CUDACyclone, clone the repository and type make
For totaly clean system (big thanks for dev_nullish):

apt update;
apt-get install -y joe;
apt-get install -y zip;
apt-get install -y screen;
apt-get install -y curl libcurl4;
apt-get install build-essential;
apt-get install -y gcc;
apt-get install -y make;
apt install cuda-toolkit;
git clone https://github.com/Dookoo2/CUDACyclone.git
make

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