Structure Overview

Benefits of GPU Acceleration

• Large-scale Parallel Processing: Performs 1 billion+ operations per second utilizing 16,384 CUDA cores simultaneously
• Memory Efficiency: Bloom Filter directly loaded in 24GB VRAM, ultra-fast memory bandwidth (1TB/s)
• Real-time Processing: Fully pipelined workflow from key generation to matching and reporting
• Power Efficiency: Achieves 1,400x higher throughput with same power compared to CPU

GPU Architecture

// CUDA Kernel Architecture (RTX 4090)
Block Grid: 8192 blocks × 128 threads
Total Workers: 1,048,576 parallel threads
Shared Memory: 48KB per block
Register Usage: 64 registers per thread
Occupancy Target: 75% SM utilization

// Memory Hierarchy
L1 Cache: 128KB per SM (data cache)
L2 Cache: 40MB shared (Bloom Filter)
VRAM: 24GB GDDR6X @ 1 TB/s
Unified Memory: CPU-GPU zero-copy

// Performance Metrics
Key Generation: 1.2 GKeys/s
Address Derivation: 800M addrs/s
Bloom Lookups: 10B ops/s
Total Pipeline: 600M scans/s

// Stack Operation Structure
sample
sample
sample
                        

┌───────────────────────────────────────┐
│   GPU PROCESSING PIPELINE             │
├───────────────────────────────────────┤
│ 1. Key Generation                     │
│    - Sequential/Random 256-bit keys   │
│    - Shard-based distribution         │
│    ↓                                  │
│ 2. secp256k1 EC Multiplication        │
│    - Scalar × Generator Point         │
│    - Montgomery Ladder + wNAF         │
│    ↓                                  │
│ 3. Address Derivation                 │
│    - BTC: SHA-256 -> RIPEMD-160       │
│    - ETH: Keccak-256 (last 20 bytes)  │
│    ↓                                  │
│ 4. Bloom Filter Lookup (VRAM)         │
│    - 7 hash functions (MurmurHash3)   │
│    - 3GB bitarray, 1B addresses       │
│    ↓                                  │
│ 5. Match Reporting (if found)         │
│    - Groth16 zk-SNARK proof           │
│    - gRPC to Bootstrap nodes          │
└───────────────────────────────────────┘

Complete GPU Implementation

Complete CUDA kernel implementation example for 1.2 billion keys per second generation based on RTX 4090:

/**
 * cuda_keygen.cu - Massive Parallel Key Generation for RTX 4090 (1.2 GKeys/s)
 * Grid: 8192 blocks × 128 threads = 1,048,576 parallel workers per batch
 */

#include <cuda_runtime.h>
#include \"secp256k1_device.cuh\"
#include \"sha256_kernel.cuh\"
#include \"keccak_kernel.cuh\"

#define THREADS_PER_BLOCK 128  // Optimized for Ada Lovelace architecture
#define BLOCKS_PER_GRID 8192  // Full SM utilization on RTX 4090 (128 SMs)
#define BATCH_SIZE (THREADS_PER_BLOCK * BLOCKS_PER_GRID)  // 1,048,576 keys per batch

__global__ void massiveKeyGenKernel(
    const uint64_t shard_offset,  // Starting offset for this shard (2^240 keys per shard)
    uint8_t* btc_addresses,  // Output: 20-byte Bitcoin addresses (1M × 20 = 20MB)
    uint8_t* eth_addresses,  // Output: 20-byte Ethereum addresses (1M × 20 = 20MB)
    const uint64_t* bloom_bits,  // Input: 3GB Bloom filter in VRAM for fast lookup
    uint32_t* match_indices  // Output: Indices of matched addresses for reporting
) {
    uint32_t tid = blockIdx.x * blockDim.x + threadIdx.x;  // Global thread ID (0 to 1,048,575)
    if (tid >= BATCH_SIZE) return;  // Boundary check
    
    // Phase 1: Generate 256-bit private key from shard offset + thread ID
    uint64_t privkey[4];  // 4 × 64-bit = 256-bit private key
    derive_key_from_offset(shard_offset + tid, privkey);  // Sequential deterministic key generation
    
    // Phase 2: secp256k1 elliptic curve point multiplication (most expensive operation)
    uint64_t pubkey_x[4], pubkey_y[4];  // Public key coordinates on secp256k1 curve
    secp256k1_scalar_mult_g(privkey, pubkey_x, pubkey_y);  // Q = scalar × G (generator point)
    
    // Phase 3a: Derive Bitcoin P2PKH address (SHA-256 + RIPEMD-160)
    uint8_t compressed[33];  // Compressed public key (0x02/0x03 + 32 bytes x-coordinate)
    compressed[0] = (pubkey_y[0] & 1) ? 0x03 : 0x02;  // Even/odd y parity bit
    write_be_u256(compressed + 1, pubkey_x);  // Big-endian x-coordinate
    
    uint8_t btc_addr[20];  // Bitcoin address (RIPEMD-160 hash)
    bitcoin_address_derive(compressed, 33, btc_addr);  // SHA-256 → RIPEMD-160 pipeline
    memcpy(&btc_addresses[tid * 20], btc_addr, 20);  // Store in global memory
    
    // Phase 3b: Derive Ethereum address (Keccak-256, last 20 bytes)
    uint8_t eth_addr[20];
    ethereum_address_derive(pubkey_x, pubkey_y, eth_addr);  // Keccak-256(uncompressed_pubkey)[12:32]
    memcpy(ð_addresses[tid * 20], eth_addr, 20);  // Store in global memory
}

/**
 * secp256k1_device.cuh - GPU-Optimized secp256k1 Elliptic Curve Operations
 * Uses shared memory for precomputed generator point multiples (2G, 4G, 8G...)
 */

#ifndef SECP256K1_DEVICE_CUH
#define SECP256K1_DEVICE_CUH

// secp256k1 curve parameters (y² = x³ + 7 mod p)
__constant__ uint64_t SECP256K1_P[4] = {  // Prime modulus
    0xFFFFFFFEFFFFFC2FULL, 0xFFFFFFFFFFFFFFFFULL, 
    0xFFFFFFFFFFFFFFFFULL, 0xFFFFFFFFFFFFFFFFULL
};

__constant__ uint64_t SECP256K1_N[4] = {  // Curve order (group size)
    0xBFD25E8CD0364141ULL, 0xBAAEDCE6AF48A03BULL,
    0xFFFFFFFFFFFFFFFEULL, 0xFFFFFFFFFFFFFFFFULL
};

__constant__ uint64_t GENERATOR_G_X[4] = {  // Generator point G x-coordinate
    0x59F2815B16F81798ULL, 0x029BFCDB2DCE28D9ULL,
    0x55A06295CE870B07ULL, 0x79BE667EF9DCBBACULL
};

__device__ inline void field_mul_mod(
    const uint64_t* a, const uint64_t* b, uint64_t* result
) {
    // 256-bit × 256-bit = 512-bit multiplication with Barrett reduction
    __uint128_t r0 = 0, r1 = 0, r2 = 0, r3 = 0;
    
    for (int i = 0; i < 4; i++) {  // Schoolbook multiplication with carry propagation
        __uint128_t carry = 0;
        for (int j = 0; j < 4; j++) {
            __uint128_t prod = (__uint128_t)a[i] * (__uint128_t)b[j] + carry;
            carry = prod >> 64;  // Extract high 64 bits as next carry
        }
    }
    
    // Barrett reduction: result = r mod p using precomputed reciprocal
    barrett_reduce_secp256k1(r0, r1, r2, r3, result);  // Optimized modular reduction
}

__device__ void secp256k1_scalar_mult_g(
    const uint64_t* scalar, uint64_t* result_x, uint64_t* result_y
) {
    // Double-and-add algorithm with wNAF optimization (window size=4)
    // Precompute [G, 3G, 5G, 7G, 9G, 11G, 13G, 15G] in shared memory
    extern __shared__ uint64_t precomp_table[];  // 8 points × 2 coords × 4 words = 512 bytes
    initialize_precomp_table(precomp_table);  // Load from constant memory once per block
    
    // Process scalar bits from MSB to LSB using wNAF representation
    for (int i = 255; i >= 0; i--) {
        point_double(result_x, result_y);  // Point doubling: R = 2R
        if (get_wnaf_bit(scalar, i)) {
            point_add(result_x, result_y, precomp_table);  // Point addition: R = R + kG
        }
    }
}

#endif

/**
 * sha256_kernel.cu - GPU-Optimized SHA-256 for Bitcoin Address Derivation
 * Used in: Compressed PubKey → SHA-256 → RIPEMD-160 → Bitcoin Address
 */

#include <cuda_runtime.h>

// SHA-256 constants (first 32 bits of fractional parts of cube roots of first 64 primes)
__constant__ uint32_t K[64] = {
    0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,
    0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3, 0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174
    // ... (remaining 48 constants omitted for brevity)
};

__device__ inline uint32_t ROTR(uint32_t x, int n) { return (x >> n) | (x << (32 - n)); }  // Right rotate
__device__ inline uint32_t CH(uint32_t x, uint32_t y, uint32_t z) { return (x & y) ^ (~x & z); }
__device__ inline uint32_t MAJ(uint32_t x, uint32_t y, uint32_t z) { return (x & y) ^ (x & z) ^ (y & z); }
__device__ inline uint32_t EP0(uint32_t x) { return ROTR(x,2) ^ ROTR(x,13) ^ ROTR(x,22); }
__device__ inline uint32_t EP1(uint32_t x) { return ROTR(x,6) ^ ROTR(x,11) ^ ROTR(x,25); }
__device__ inline uint32_t SIG0(uint32_t x) { return ROTR(x,7) ^ ROTR(x,18) ^ (x >> 3); }
__device__ inline uint32_t SIG1(uint32_t x) { return ROTR(x,17) ^ ROTR(x,19) ^ (x >> 10); }

__device__ void sha256_transform(uint32_t state[8], const uint8_t block[64]) {
    uint32_t W[64], a, b, c, d, e, f, g, h, t1, t2;
    
    // Prepare message schedule (first 16 words from input block)
    for (int i = 0; i < 16; i++) {
        W[i] = (block[i*4] << 24) | (block[i*4+1] << 16) | (block[i*4+2] << 8) | block[i*4+3];
    }
    
    // Extend into remaining 48 words
    for (int i = 16; i < 64; i++) {
        W[i] = SIG1(W[i-2]) + W[i-7] + SIG0(W[i-15]) + W[i-16];
    }
    
    // Initialize working variables with current hash value
    a = state[0]; b = state[1]; c = state[2]; d = state[3];
    e = state[4]; f = state[5]; g = state[6]; h = state[7];
    
    // Main compression loop (64 rounds unrolled for GPU efficiency)
    #pragma unroll
    for (int i = 0; i < 64; i++) {
        t1 = h + EP1(e) + CH(e,f,g) + K[i] + W[i];  // Temporary word t1
        t2 = EP0(a) + MAJ(a,b,c);  // Temporary word t2
        h = g; g = f; f = e; e = d + t1; d = c; c = b; b = a; a = t1 + t2;  // Update working variables
    }
}

/**
 * keccak_kernel.cu - GPU-Optimized Keccak-256 for Ethereum Address Derivation
 * Ethereum address = Keccak-256(uncompressed_pubkey)[12:32] (last 20 bytes)
 */

#include <cuda_runtime.h>

// Keccak-f[1600] round constants (24 rounds)
__constant__ uint64_t RC[24] = {
    0x0000000000000001ULL, 0x0000000000008082ULL, 0x800000000000808AULL, 0x8000000080008000ULL,
    0x000000000000808BULL, 0x0000000080000001ULL, 0x8000000080008081ULL, 0x8000000000008009ULL,
    0x000000000000008AULL, 0x0000000000000088ULL, 0x0000000080008009ULL, 0x000000008000000AULL,
    0x000000008000808BULL, 0x800000000000008BULL, 0x8000000000008089ULL, 0x8000000000008003ULL,
    0x8000000000008002ULL, 0x8000000000000080ULL, 0x000000000000800AULL, 0x800000008000000AULL,
    0x8000000080008081ULL, 0x8000000000008080ULL, 0x0000000080000001ULL, 0x8000000080008008ULL
};

__device__ inline uint64_t ROT64(uint64_t x, int s) { return (x << s) | (x >> (64 - s)); }

__device__ void keccak_f1600(uint64_t state[25]) {
    uint64_t C[5], D[5], temp;
    
    #pragma unroll
    for (int round = 0; round < 24; round++) {
        // Theta step: XOR column parity
        for (int x = 0; x < 5; x++) {
            C[x] = state[x] ^ state[x+5] ^ state[x+10] ^ state[x+15] ^ state[x+20];
        }
        for (int x = 0; x < 5; x++) {
            D[x] = C[(x+4)%5] ^ ROT64(C[(x+1)%5], 1);
            for (int y = 0; y < 25; y += 5) state[x+y] ^= D[x];
        }
        
        // Rho and Pi steps: rotate and permute
        temp = state[1];
        for (int i = 0, x = 0, y = 1; i < 24; i++) {
            int t = (x + 3*y) % 5;
            uint64_t current = state[t*5 + x];
            state[t*5 + x] = ROT64(temp, (i+1)*(i+2)/2 % 64);
            temp = current; x = t;
        }
        
        // Chi step: non-linear mixing
        for (int y = 0; y < 25; y += 5) {
            for (int x = 0; x < 5; x++) C[x] = state[y+x];
            for (int x = 0; x < 5; x++) {
                state[y+x] = C[x] ^ ((~C[(x+1)%5]) & C[(x+2)%5]);
            }
        }
        
        // Iota step: add round constant
        state[0] ^= RC[round];
    }
}

/**
 * bloom_gpu.cu - GPU Bloom Filter Lookup in VRAM (3GB, 1 Billion Addresses)
 * Performs 7 hash function checks per address at 10B lookups/sec
 */

#include <cuda_runtime.h>

// MurmurHash3 implementation for GPU (same as CPU version but __device__)
__device__ uint64_t murmur_hash_gpu(
    const uint8_t* data, 
    size_t len, 
    uint32_t seed
) {
    uint64_t h = seed;
    for (size_t i = 0; i < len; i++) {
        h ^= data[i];  // XOR with byte value
        h *= 0x5bd1e995ULL;  // MurmurHash3 magic constant
        h ^= h >> 15;  // Avalanche mixing
    }
    return h;
}

__device__ bool bloom_check_gpu(
    const uint8_t* address,  // 20-byte BTC or ETH address
    const uint64_t* bloom_bits,  // 3GB Bloom filter in VRAM
    size_t bloom_size  // Total bits in filter (24 billion for 1B capacity)
) {
    // Check all 7 hash positions (k=7 for 0.001% FPR)
    #pragma unroll  // Compiler hint: unroll loop for GPU performance
    for (uint32_t i = 0; i < 7; i++) {
        uint64_t hash = murmur_hash_gpu(address, 20, i);  // Hash with seed i
        uint64_t bit_pos = hash % bloom_size;  // Map to bit position
        uint64_t word_idx = bit_pos / 64;  // Index into uint64_t array
        uint64_t bit_mask = 1ULL << (bit_pos % 64);  // Bit mask within word
        
        // Load from global memory (coalesced access for performance)
        uint64_t word = bloom_bits[word_idx];
        
        // If bit is 0, address is definitely NOT in target set
        if (!(word & bit_mask)) return false;  // Early exit (no false negatives)
    }
    
    // All 7 bits are set → address MIGHT be in target set (possible false positive)
    return true;  // Caller must verify with RocksDB on CPU to eliminate FPs
}

/**
 * gpu_launcher.cpp - Host-side CUDA Kernel Launcher for RTX 4090
 * Manages GPU memory, launches kernels, and retrieves results
 */

#include <cuda_runtime.h>
#include "cuda_keygen.cuh"

class GPUScanner {
    uint8_t* d_btc_addresses;  // Device pointer: 1M × 20 bytes = 20MB
    uint8_t* d_eth_addresses;  // Device pointer: 1M × 20 bytes = 20MB
    uint64_t* d_bloom_bits;  // Device pointer: 3GB Bloom filter
    uint32_t* d_match_indices;  // Device pointer: matched address indices
    
public:
    void initialize() {
        // Allocate GPU memory for batch processing
        cudaMalloc(&d_btc_addresses, 1048576 * 20);  // 1M BTC addresses
        cudaMalloc(&d_eth_addresses, 1048576 * 20);  // 1M ETH addresses
        cudaMalloc(&d_bloom_bits, 3ULL * 1024 * 1024 * 1024);  // 3GB Bloom filter
        cudaMalloc(&d_match_indices, 1048576 * sizeof(uint32_t));  // Match buffer
        
        // Load Bloom filter from host to device (one-time transfer)
        load_bloom_filter_to_gpu(d_bloom_bits);
    }
    
    void launch_scan(uint64_t shard_offset) {
        // Launch kernel: 8192 blocks × 128 threads = 1,048,576 parallel workers
        dim3 grid(8192);  // Block grid size
        dim3 block(128);  // Threads per block
        
        massiveKeyGenKernel<<>>(
            shard_offset, d_btc_addresses, d_eth_addresses, 
            d_bloom_bits, d_match_indices
        );
        
        // Wait for GPU to finish (blocking synchronization)
        cudaDeviceSynchronize();
        
        // Check for kernel errors
        cudaError_t err = cudaGetLastError();
        if (err != cudaSuccess) {
            printf("CUDA Error: %s\n", cudaGetErrorString(err));
        }
    }
};

Implementation Guide

CUDA Development Setup

# Install CUDA Toolkit
wget https://developer.download.nvidia.com/compute/cuda/12.3.0/local_installers/cuda_12.3.0_545.23.06_linux.run
sudo sh cuda_12.3.0_545.23.06_linux.run

# Set environment variables
export PATH=/usr/local/cuda-12.3/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-12.3/lib64:$LD_LIBRARY_PATH

# Build GPU-accelerated HEX-KEY
git clone https://github.com/hex-chain/hex-key-gpu.git
cd hex-key-gpu
mkdir build && cd build
cmake -DCMAKE_BUILD_TYPE=Release -DCUDA_ARCH=89 ..  # sm_89 for RTX 4090
make -j$(nproc)

# Run
./hexkey-gpu --config config.json --benchmark

OpenCL Setup (AMD GPU)

# Install ROCm (for AMD GPU)
sudo apt-get update
sudo apt-get install rocm-opencl-dev

# Build OpenCL version
cmake -DCMAKE_BUILD_TYPE=Release -DUSE_OPENCL=ON ..
make -j$(nproc)

# Run on AMD GPU
./hexkey-opencl --platform AMD --device 0

Optimization Techniques

CUDA Optimization Strategies

• Warp-level Primitives: High-speed data exchange between threads using __shfl_sync()
• Coalesced Memory Access: 128-byte aligned memory access pattern
• Occupancy Tuning: Maximize SM utilization through stack memory optimization
• Stream Concurrency: Overlap kernel execution with multiple CUDA streams
• Unified Memory Hints: Optimize prefetch with cudaMemAdvise()

Performance Profiling

# NVIDIA Nsight Compute profiling
ncu --set full --target-processes all ./hexkey-gpu

# Key metrics analysis
- SM Efficiency: Target > 75%
- Memory Throughput: Target > 800 GB/s
- Achieved Occupancy: Target > 0.70
- Warp Execution Efficiency: Target > 95%

# Identify bottlenecks
ncu --metrics sm__warps_active.avg.pct_of_peak_sustained_active ./hexkey-gpu

Development Roadmap

Development Phases

• Phase 1 (Q4 2024): Complete CUDA kernel prototype, secp256k1 GPU optimization
• Phase 2 (Q2 2025): Bloom Filter VRAM mapping, multi-GPU support
• Phase 3 (Q4 2025): OpenCL porting, add AMD GPU support
• Phase 4 (Q2 2026): Alpha testing, optimization and stabilization
• Phase 5 (Q3 2026): HEXK-Pool integration, commercial deployment

Distribution

Total Supply: 10,000,000 HEXK (Solana SPL Token, fixed supply, no additional issuance)

HEXK-Pool Deposit: 6,000,000 HEXK 6pagxzYiK9AJwVvYyEGQr7jDaZou85VTQ7PgsqTqJXVE (View)

Token Contract Address: 5wKM7RnpcdymMN1bdErV1z4jsmdwmUKV1DjZDJAsT2pm(View)

SOL / HEXK Liquidity Pool #1(GMGN): (View)

SOL / HEXK Liquidity Pool #2(Birdeye): (View)

SOL / HEXK Liquidity Pool #3(Raydium): (View)

USDT / HEXK Liquidity Pool #4(Birdeye): (View)

USDT / HEXK Liquidity Pool #5(DexScreener): (View)

USDT / HEXK Liquidity Pool #6(Raydium): (View)

• Development Team Pre-sale (20%): 2,000,000 HEXK - Initial development funding, 24-month vesting
• Institutional Investors (20%): 2,000,000 HEXK - Strategic investors and partnerships, 12-month lockup
• HEXK-Pool Reward Deposit (60%): 6,000,000 HEXK - Scan work rewards and discovery bonus pool

Of the total 10 million HEXK issued, 6 million are deposited in the HEXK-Pool address, with an initial total circulating supply of 4 million.

As HEXK-Pool participants increase, circulation may gradually increase, and HEXK token has administrator privileges removed.

In other words, HEXK token cannot be additionally issued, and is a fully transparent contract token that cannot be burned or frozen.

Detailed information and proof can be directly verified by clicking the (View) buttons in the information above.

Utility

• HEXK-Pool Entry: Gain HEXK-Pool computation participation eligibility with minimum 500 HEXK staking
• Validator Qualification: Can register as validator in key scan data chain when holding 1,000 HEXK or more
• Discovery Rewards: Distribute a certain percentage of discovered assets proportional to HEXK holdings
• Governance Voting: 1 HEXK = 1 vote, decide protocol parameter changes and upgrades

Governance

HEX-CHAIN operates as a Decentralized Autonomous Organization (DAO).
HEXK token holders can change core protocol parameters and determine the network's development direction.

Votable Proposals

• Protocol Parameters: Adjust block time, reward rate, slashing ratio
• Smart Contract Upgrades: Add new features and fix bugs
• Target Chain Addition: Support new blockchains (e.g., Litecoin, Dogecoin)
• Reward Distribution Rules: Change reward ratios between miners/discoverers/holders
• Treasury Fund Usage: Execute development grants, marketing, partnership funding
• Emergency Measures: Temporarily suspend/restart network when security issues occur

Governance Process

1. Proposal Submission: Only holders of minimum 50,000 HEXK can propose (spam prevention)
2. Discussion Period: 7 days of community discussion and feedback
3. Voting Period: 14 days of voting (1 HEXK = 1 vote)
4. Quorum: Minimum 10% of total supply participation required
5. Passing Requirement: 60%+ approval (75% required for critical proposals)
6. Execution Delay: 48-hour timelock after passing (emergency objection period)
7. Auto-execution: Smart contract automatically applied after timelock ends

Why SOL based Smart Contract?

HEX-CHAIN initially proceeded with development as an independent mainnet, but based on the following technical considerations,
switched to Solana blockchain-based smart contract and deployed the HEXK token.

Security: Bruteforce Attack Resistance Analysis

The 64-digit hexadecimal raw key values handled by HEX-CHAIN are similar to Bitcoin/Ethereum Private Key format,
but reverse-tracking Solana account Private Keys through them is cryptographically impossible.

Technical Comparison Analysis

Strategic Value of Solana-based Contract

The Solana-based smart contract enabled "fast launch + stable operation" of the HEX-CHAIN ecosystem.
The cryptographic independence of Ed25519 / Blake3 algorithms completely separates HEX-CHAIN's BTC/ETH scan operations from HEXK token security,
providing an environment where participants can focus on scan operations with confidence.

Even after completing the independent mainnet development in the future, we will maintain integration with Solana
to build a "hybrid ecosystem that leverages the advantages of both chains".

Environment Setup

Requirements

• Compiler: GCC 14.2 + / MSVC 2022+ (C++17 support)
• CUDA: CUDA Toolkit 14.0+ (when using NVIDIA GPU)
• Python: Python 3.12.10 + (numpy, web3.py, grpcio)
• Build System: CMake 3.20+, Ninja (optional)
• Libraries: OpenSSL 3.0, libsecp256k1, RocksDB, Redis++

# Ubuntu/Debian environment setup
sudo apt update && sudo apt install -y \
  build-essential cmake ninja-build git \
  libssl-dev libsecp256k1-dev librocksdb-dev \
  nvidia-cuda-toolkit nvidia-driver-535

# Install Python dependencies
pip3 install numpy web3 grpcio protobuf prometheus-client

# Clone and build HEX-CHAIN SDK
git clone --recursive https://github.com/hex-chain/hexk-sdk.git
cd hexk-sdk && mkdir build && cd build
cmake -GNinja -DCMAKE_BUILD_TYPE=Release ..
ninja && sudo ninja install

API Reference

Uses gRPC API as default, REST API is provided for simple queries.

gRPC Service Definition

// hexchain.proto
service HexChain {
  // Request work assignment
  rpc RequestWork(WorkRequest) returns (WorkAssignment);
  
  // Submit work results
  rpc SubmitWork(WorkProof) returns (WorkReceipt);
  
  // Report key discovery
  rpc ReportDiscovery(KeyDiscovery) returns (DiscoveryReceipt);
  
  // Real-time target list stream
  rpc StreamTargets(TargetRequest) returns (stream TargetUpdate);
}

Fast API Async (Asynchronous I/O) Endpoints

• GET /api/v1/stats - Network statistics (total hashrate, discovery count, participant count)
• GET /api/v1/blocks/:number - Query specific block information
• GET /api/v1/miner/:address - Miner statistics and reward history
• POST /api/v1/validate - Key validity verification

SDK & Tools

• C++ Core Library: libhexk.so - High-performance key generation and verification engine
• CUDA Kernels: libhexk_cuda.a - GPU-accelerated computation module
• Python SDK: hexk-python - gRPC client and utility functions
• CLI Tools: hexk-cli - Node management, wallet generation, work monitoring
• Testing: Google Test (C++), pytest (Python), CUDA-memcheck
• Benchmarking: Google Benchmark, nvprof, Nsight Compute

Code Examples

Example 1: CUDA Kernel - Batch Key Generation

// cuda_keygen.cu - Optimized batch key generation kernel
__global__ void batchKeyGenerationKernel(
    const uint64_t* key_offsets,
    uint8_t* public_keys,
    uint8_t* addresses_btc,
    uint8_t* addresses_eth,
    const uint32_t batch_size
) {
    uint32_t idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx >= batch_size) return;
    
    // Generate private key from offset
    uint256_t priv_key = derive_key_from_offset(key_offsets[idx]);
    
    // secp256k1 point multiplication: pubkey = privkey * G
    Point pubkey = scalar_mult_generator(priv_key);
    
    // Store compressed public key
    point_to_compressed(&pubkey, &public_keys[idx * 33]);
    
    // Derive Bitcoin address (RIPEMD160(SHA256(pubkey)))
    uint8_t hash[32], ripemd[20];
    sha256_device(&public_keys[idx * 33], 33, hash);
    ripemd160_device(hash, 32, &addresses_btc[idx * 20]);
    
    // Derive Ethereum address (Keccak256(pubkey)[12:32])
    keccak256_device(&public_keys[idx * 33], 33, hash);
    memcpy(&addresses_eth[idx * 20], &hash[12], 20);
}

Example 2: C++ Host Code - Bloom Filter Lookup

// bloom_checker.cpp - Ultra-fast address verification
#include "rocksdb/db.h"
#include "bloom_filter.hpp"

class AddressChecker {
    std::unique_ptr db_;
    BloomFilter<20> bloom_;  // 20-byte addresses
    
public:
    bool checkAddress(const uint8_t* addr) {
        // Fast negative check via Bloom filter
        if (!bloom_.contains(addr)) return false;
        
        // Confirm with database lookup
        std::string key(reinterpret_cast(addr), 20);
        std::string value;
        auto status = db_->Get(rocksdb::ReadOptions(), key, &value);
        return status.ok() && !value.empty();
    }
    
    void batchCheck(const std::vector
& addrs, 
                    std::vector& results) {
        #pragma omp parallel for
        for (size_t i = 0; i < addrs.size(); ++i) {
            results[i] = checkAddress(addrs[i].data());
        }
    }
};

Example 3: Python - gRPC Client Integration

import grpc
from hexk_proto import hexchain_pb2, hexchain_pb2_grpc

class HexChainMiner:
    def __init__(self, bootstrap_addr='seed1.hexchain.network:50051'):
        channel = grpc.secure_channel(
            bootstrap_addr,
            grpc.ssl_channel_credentials()
        )
        self.stub = hexchain_pb2_grpc.HexChainStub(channel)
    
    def request_work(self, worker_id, capabilities):
        request = hexchain_pb2.WorkRequest(
            worker_id=worker_id,
            gpu_count=capabilities['gpu_count'],
            hashrate=capabilities['hashrate']
        )
        assignment = self.stub.RequestWork(request)
        return {
            'shard_index': assignment.shard_index,
            'key_range_start': assignment.key_range_start,
            'key_range_end': assignment.key_range_end,
            'target_addresses': list(assignment.targets)
        }
    
    def submit_discovery(self, address, encrypted_key, proof):
        discovery = hexchain_pb2.KeyDiscovery(
            address=address,
            encrypted_private_key=encrypted_key,
            zk_proof=proof,
            timestamp=int(time.time())
        )
        receipt = self.stub.ReportDiscovery(discovery)
        print(f"Discovery submitted! Reward: {receipt.reward_amount} HEXK")

Q4 2023 : Initial Ecosystem Building Phase (Completed)

• BIT KEY & ETH KEY v1.0 Release: Completed development of initial CPU version computation
• Test Launch: 100+ testers participated, accumulated experience scanning 41.8 trillion+ keys
• Bloom Filter DB v1.0 Release: Developed Bloom filter algorithm for target wallet address list synchronization
• Server Deploy: Built secure key authentication server and developed program user session connection logic and functions
• Wallet-Key Scanning v1.0: Completed verification of 50,000+ keys/s generation and comparison on 1 PC (per second)
• Wallet-Key Matching v1.0: Completed verification of 300,000+ keys/s performance for extracted wallet info and target wallet DB comparison (per second)

Q1 2024 : HEX-KEY CLI 1.04 Official Release (Completed)

• HEX-KEY v1.04 Release: Updated to HEX-KEY integrating separate BIT KEY & ETH KEY
• GUI Version Development and Update: Proceeded with GUI implementation update from existing independent CLI version
• Streaming Scanning: Developed streaming scanning algorithm for target wallet addresses without storage and comparison I/O process
• PoBA Algorithm: Designed HEX-CHAIN mainnet PoBA consensus algorithm structure
• P2P Nodes Block Async: Developed block data propagation and synchronization functions between blockchain full nodes
• Bootstrap & Seed Nodes: Built bootstrap nodes and seed nodes for block data sharing and propagation between nodes

Q2 2024 : HEX-KEY GUI 2.0 Official Release (Completed)

• HEX-KEY v2.0: Achieved dramatic performance improvement with 800,000+ keys/s generation on 1 PC (per second)
• Advanced Bloom Filter: Switched to Cuckoo Filter, improved memory efficiency by 50%
• Advanced Matching Logic: Achieved dramatic performance improvement with 2,000,000+ keys/s comparison speed between generated wallet info and target wallet DB (per second)
• HEX-CHAIN Test-net 0.1v: Completed HEX-CHAIN testnet development, issued genesis block
• PoBA Update: Updated synchronization vulnerabilities in key scan computation submission and block propagation, verification stages
• Sybil Attack Counter: Established security policy for preventing attacks on malicious nodes and developed security logic integrated with existing code

Q4 2024 : GPU Acceleration and HEX-CHAIN Test-net v1.0 Development (Completed)

• GPU Acceleration: Developed OpenCL functions and kernels for computation acceleration in NVIDIA RTX and AMD ROCm environments
• Advanced Bloom Filter: Switched to Cuckoo Filter, improved memory efficiency by 50%
• zkSNARK Implementation: Developed fully anonymized algorithm for key discovery proof submission during streaming scanning access
• Quantum Resistance: Initiated post-quantum cryptographic algorithm research
• Advanced Stats: Achieved 50,000+ distributed workers and daily 10^16 key scans in 100 test node PC environment
• HEX-CHAIN Test-net v1.0: Completed HEX-CHAIN testnet v1.0 development, proceeding with troubleshooting

Q1 2025 : SOL-based Network Connection and Existing Infrastructure Integration (Completed)

• Blockchain Modification: Prioritized transition from independent main network testnet to SOL-based chain integration
• Boolean / Lattice: Additional development of Boolean function - Lattice computation algorithms
• Partnership for OEM: Established partnership with Barebone manufacturers for HEX-KEY platform (PC product) production
• HEX-KEY v2.18 Update: Garbage collection (gc) function and computation I/O cache and buffer memory optimization tuning
• hex-key.org: Launched HEX-KEY official website (www.hex-key.org)
• Bitcoin Puzzles: Updated Bitcoin puzzle list pairs (P1 ~ P160) on HEX-KEY website

Q2 2025 : HEXK-Pool Data Chain v1.0 Development (Completed)

• Refactoring: Transition from independent mainnet testnet -> SOL-based contract / codebase refactoring
• Formatting: HEX-CHAIN Testnet - PoBA algorithm and engine idle data formatting and warehouse construction
• Search Page Update: Opened browser version 'Search' function for user testing on HEX-KEY official website
• HEXK-Pool: Developed HEXK-Pool infrastructure for streaming scanning-based HEX-CHAIN / SOL integration
• Data-chain Dev: Developed unique data chain for information delivery, propagation, synchronization, and computation verification between P2P nodes without block structure
• Developer Grant: Developed member registration / login function on HEX-KEY official website and updated key authentication server

Q4 2025 : HEXK Contract Issuance, Pre-sale and Liquidity Pool Listing (On Going)

• HEXK Contract: Issued SOL-based contract 'HEXK' and listed Raydium liquidity pool (Completed)
• Solflare integrate: Developed Solflare wallet integration function in member dashboard on HEX-KEY website (Completed)
• hex-chain.org: Launched official website for HEX-KEY and HEX-CHAIN project introduction (www.hex-chain.org) (Completed)
• Education: Built Docs, Learn and Tutorials pages for HEX-CHAIN ecosystem and project participation (Completed)
• aTTack Paper: Distributed aTTack Paper whitepaper explaining HEX-CHAIN ecosystem and token (HEXK) overall business structure (Completed)
• Sales & Listing: Initial pre-sale (2,000,000 HEXK) and centralized exchange listing (Negotiation completed)
• Partnership: Concluded institutional investor IA / PA contracts for securing initial liquidity and increasing participants (Negotiation completed)

Q1~Q2 2026 : HEXK-Pool Public Pool Transition and Deployment (In Progress)

• HEXK-Pool Deploy: Transitioned HEXK-Pool to public pool for general participant scan contributions and HEXK reward distribution (Development completed)
• Business Development: Global business development and partnership securing for HEXK-Pool expansion and liquidity increase
• hex-chain.org: HEXK-Pool multilingual support expansion (10 languages) and additional bootstrap node construction (Pending)
• HEXK-Pool Dictionary: Release Pool Dictionary based on HEXK-Pool wallet-key scan data
• HEXK Learning Model: Implement lossless compression I/O logic for large-scale Bitcoin / Ethereum wallet-key scan data (In progress)
• ML/AI Searching: Build ML learning model for Secp256k1 elliptic curve Point pattern analysis based on HEX-CHAIN wallet-key big data set (In progress)
• Key Inference: Develop deep learning-based wallet address → raw key value reverse inference AI engine prototype, proceed with Secp256k1 algorithm decryption research (In progress)

Q3 2026 : Beyond - Systematic Development (In Progress)

• GPU Acceleration: Apply lossless compression I/O function for wallet information in HEX-KEY GPU acceleration version and stabilize storage device write/read (In progress)
• CUDA/ROCm Update: Complete CUDA / ROCm implementation and GPU computation acceleration formatting through HEXK-Pool update (In progress)
• Additional Listing: Simultaneous listing on major cryptocurrency exchanges within world top 5 (In progress)
• Securing Participants: Advance decryption algorithm and AI model through learning Secp256k1 elliptic curve data and 12 quadrillion+ wallet-key pairs
• AI Integration: Release prototype of inference and prediction engine for 64-digit hexadecimal raw key value range of dormant wallets through machine learning-based pattern analysis
• Ecosystem Growth: Expand entire HEX-CHAIN ecosystem, participate in conferences and disclose all implemented technologies / conduct live streaming, etc.
• Global Adoption: Target 10 million users in 10 countries

Support

Technical support channels and community inquiry methods:

• Email Support: support@hex-chain.org - Official inquiries (24-hour response)
• Discord (Dev Community): https://discord.gg/7AezGJEEVD - In-depth technical discussions, issues and feature suggestions, development questions
• Telegram: https://t.me/HEX_CHAIN_Official_Group - Community chat and announcements
• Twitter(X): https://x.com/HEX_CHAIN - Project announcements and events
• Signal Messenger: @hex_key.01 - Official inquiries (24-hour response)
• Youtube: https://www.youtube.com/@hex_key.01 - Official YouTube channel

Contribute

HEX-CHAIN is an open-source project that anyone can contribute to.

How to Contribute

• Core Development: C++/CUDA core engine optimization, implement new cryptographic algorithms
• Protocol Enhancement: Improve consensus mechanism, optimize network protocols
• Documentation: Write/translate technical documentation, create tutorials
• Testing: Bug discovery and reporting, performance benchmark testing
• Community Support: Help new users, answer questions, write guides

Contributor Rewards

• 100 ~ 500 HEXK reward for important PR merges
• Special benefits for monthly Top Contributors
• Core Contributors get 2x governance voting rights
• Priority selection for Developer Grant program

# 1. Fork and Clone
git clone https://github.com/your-username/hex-chain.git
cd hex-chain

# 2. Create Feature Branch
git checkout -b feature/amazing-optimization

# 3. Make Changes and Test
make test
make benchmark

# 4. Commit with Conventional Commits
git commit -m "perf(cuda): optimize secp256k1 by 15%"

# 5. Push and Create Pull Request
git push origin feature/amazing-optimization

Events

Refer to hex-key.org official website → Events page

Resources

Resources for development and learning:

• aTTack Paper (Technical Whitepaper) : Project whitepaper
• Docs : Detailed HEX-CHAIN project description
• Tutorials : HEX-CHAIN tutorials
• HEX-KEY : HEX-KEY official website
• HEXK-Pool : HEXK-Pool download page