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https://github.com/ziglana/grincel.gpu
zig gpu vanity grinder
https://github.com/ziglana/grincel.gpu
address gpu grind metal solana solana-keygen vanitty vulkan
Last synced: 9 days ago
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zig gpu vanity grinder
- Host: GitHub
- URL: https://github.com/ziglana/grincel.gpu
- Owner: ziglana
- License: unlicense
- Created: 2024-11-04T15:53:41.000Z (11 days ago)
- Default Branch: main
- Last Pushed: 2024-11-06T01:51:51.000Z (9 days ago)
- Last Synced: 2024-11-06T02:40:02.585Z (9 days ago)
- Topics: address, gpu, grind, metal, solana, solana-keygen, vanitty, vulkan
- Language: Zig
- Homepage: https://gpu.buzz
- Size: 1000 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🚀 Grincel - GPU Vanity Address Generator
A blazing-fast GPU-accelerated Solana vanity address generator written in Zig.
[](http://unlicense.org/)
## ✨ Features
- 🎮 GPU acceleration using Vulkan/Metal compute shaders
- 🚄 Parallel processing across multiple workgroups
- 🔑 Ed25519 key generation on GPU
- 🎯 Flexible pattern matching with wildcards
- 🔠 Case-sensitive and case-insensitive matching
- 💾 Multiple storage options (HTTP, PostgreSQL, ClickHouse, SQLite)
- 🤖 Telegram bot integration
- 🖥️ Cross-platform support (Linux, macOS)
## 🛠️ Building
```bash
zig build
```
## 📦 Docker
```bash
# Build the image
docker build -t grincel .
# Run with NVIDIA GPU support
docker-compose up
```
## 🎯 Usage
### Basic Usage
```bash
# Fixed pattern
export VANITY_PATTERN="cafe"
./zig-out/bin/grincel
# Pattern with wildcards (? matches any character)
export VANITY_PATTERN="???cafe" # Matches any address ending with "cafe"
./zig-out/bin/grincel
# Case-insensitive matching
export VANITY_PATTERN="CAFE"
export IGNORE_CASE=true
./zig-out/bin/grincel # Will match "cafe", "CAFE", "CaFe", etc.
```
### Storage Integration
#### HTTP Webhook
```bash
export STORAGE_TYPE="http"
export STORAGE_URL="https://api.example.com/webhook"
./zig-out/bin/grincel
```
#### PostgreSQL
```bash
export STORAGE_TYPE="postgresql"
export STORAGE_URL="postgresql://user:pass@localhost:5432/vanity"
export STORAGE_TABLE="keypairs"
./zig-out/bin/grincel
```
#### ClickHouse
```bash
export STORAGE_TYPE="clickhouse"
export STORAGE_URL="http://localhost:8123"
export STORAGE_DATABASE="vanity"
export STORAGE_TABLE="keypairs"
./zig-out/bin/grincel
```
#### SQLite
```bash
export STORAGE_TYPE="sqlite"
export STORAGE_DATABASE="keypairs.db"
./zig-out/bin/grincel
```
#### Telegram Bot
```bash
export STORAGE_TYPE="telegram"
export STORAGE_TOKEN="your_bot_token"
export STORAGE_CHAT_ID="your_chat_id"
./zig-out/bin/grincel
```
## 📊 Benchmarking
Run the built-in benchmark:
```bash
./zig-out/bin/grincel --benchmark
```
Sample output:
```
Benchmark Results:
----------------
Pattern: cafe
Attempts per second: 1,234,567
Total attempts: 6,172,835
Duration: 5000 ms
```
## 🎨 Pattern Syntax
- Use regular characters for exact matches
- Use `?` for any character
- Set `IGNORE_CASE=true` for case-insensitive matching
Examples:
- `cafe` - Matches addresses starting with "cafe"
- `???cafe` - Matches addresses with "cafe" at positions 4-7
- `ca?e` - Matches "cafe", "cake", etc.
- `CAFE` with `IGNORE_CASE=true` - Matches any case variation
## 🏗️ Architecture
```mermaid
graph TD
A[Main] --> B[GPU Manager]
B --> C[Vulkan Backend]
B --> D[Metal Backend]
A --> E[Pattern Matcher]
A --> F[Storage Manager]
F --> G[HTTP]
F --> H[PostgreSQL]
F --> I[ClickHouse]
F --> J[SQLite]
F --> K[Telegram]
```
## 🚀 Performance
This implementation utilizes GPU compute shaders for parallel key generation and pattern matching, achieving significantly higher throughput compared to CPU-based solutions.
Key optimizations:
- Parallel key generation in GPU workgroups
- Efficient pattern matching on GPU
- Zero-copy memory transfers
- Batched storage operations
## 📄 License
This project is released into the public domain. See LICENSE file for details.