Enhanced CudaBrainSecp with Native Seed Phrases -- 4

Project Title
CudaBrainSecp Native Seed Phrase Support with GPU-Accelerated Permutation Testing

Project Overview
This project involves modifying the CudaBrainSecp tool (a CUDA-based secp256k1 private key search engine) to natively support seed phrase input instead of traditional single or partial key inputs. The modification must be implemented entirely inside the backend CUDA/C++ code (no Python wrappers or external generation), ensuring maximum GPU performance and avoiding large pre-generated databases.

Objectives
Wordlist Loading

Load a wordlist (e.g., BIP39 or a custom list) directly from a file into GPU memory.

Support user-specified file path via CLI parameter or configuration file.

Phrase Generation & Permutations (GPU-Side)

Generate all possible permutations or combinations of words directly inside the CudaBrainSecp backend.

Support phrase lengths from 4 to 12 words.

Implement efficient GPU-parallelized logic to handle large search spaces without relying on huge precomputed wordlists.

Space and Non-Space Modes

Allow two modes for generated phrases:

With spaces (standard mnemonic format).

Without spaces (concatenated form).

Mode selection should be available via CLI or config file.

Integration with Existing CudaBrainSecp Engine

Feed generated seed phrases directly into the existing secp256k1 private key testing logic without intermediate files.

Maintain original performance optimization techniques already present in CudaBrainSecp.

Performance Optimization

Ensure minimal CPU-GPU data transfer overhead.

Use batch processing and thread-level parallelism for phrase generation and testing.

CLI Parameters

--wordlist <path> → Path to wordlist file.

--length <N> → Phrase length (4–12).

--mode spaced|unspaced → Output format selection.

--demo → Optional demo mode with reduced search space for testing.

Deliverables
Modified Source Code: Fully functional CudaBrainSecp with native seed phrase support.

Two Executable Versions:

Spaced phrases (mnemonic format).

Unspaced phrases (concatenated form).

Documentation:

Usage instructions for CLI parameters.

Notes on performance tuning and limitations.

Testing Data:

Sample wordlist and target private keys for verification.

Expected Outcome
A fully integrated GPU-accelerated seed phrase testing system within CudaBrainSecp, capable of generating and checking billions of permutations directly inside the CUDA engine, without intermediate Python scripts or massive database files.