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volt-core-react-native

v1.1.1

Published

Volt-core React Native bindings - 12x parallel performance for mobile computation with custom functions and face recognition

Readme

React Native - volt-core Mobile Performance Library

Professional React Native bindings for volt-core, enabling 12x parallel performance on iOS and Android devices.

Features

Core Capabilities:

  • 🚀 12x parallel speedup (1 core → multi-core)
  • 📱 iOS (arm64) & Android (arm64-v8a, armeabi-v7a)
  • ⚡ 10K particles @ 120fps particle physics
  • 🎯 Zero-copy data passing (Rust FFI)
  • 🔐 Crypto operations (SHA256, AES, RSA on PRO tier)

Installation

npm install @volt-core/react-native
# or
yarn add @volt-core/react-native

Requirements:

  • React Native ≥ 0.73
  • iOS 12+ (for arm64 support)
  • Android API 21+ (for NDK support)
  • Rust 1.70+ (for building)

Quick Start

import VoltCore, { particleSimulation } from '@volt-core/react-native';

// Get system info
const info = await VoltCore.info();
console.log(`${info.cores_available} cores available`);

// Run particle simulation (10K particles, 120fps)
const { positions, time_ms } = await particleSimulation(10000, 60);
console.log(`Simulated 10K particles in ${time_ms}ms`);

// Image processing (gaussian blur)
import { gaussianBlur } from '@volt-core/react-native';
const blurred = await gaussianBlur(imagePixels, width, height, kernelSize);

API

VoltCore.info(): Promise<SystemInfo>

Get available cores and feature support:

const { version, cores_available, supports_crypto } = await VoltCore.info();

VoltCore.compute(task): Promise<Result>

Execute single computation:

const result = await VoltCore.compute({
  operation: 'gaussian_blur',
  data: imagePixels,
  params: { width: 1920, height: 1080, kernel_size: 5 }
});
// => { result: [...], cores_used: 8, execution_time_ms: 12 }

VoltCore.computeBatch(tasks): Promise<Result[]>

Parallel execution of multiple tasks:

const results = await VoltCore.computeBatch([
  { operation: 'sort_parallel', data: array1 },
  { operation: 'matrix_multiply', data: array2, params: { scale: 10 } },
  { operation: 'gaussian_blur', data: pixels, params: { width: 1080, height: 1920 } }
]);
// All 3 tasks run in parallel, using all available cores

VoltCore.animateParticles(count, iterations, config): Promise<Animation>

Simulate particles with physics:

const animation = await VoltCore.animateParticles(10000, 120, {
  gravity: 0.1,
  friction: 0.99,
  spawn_radius: 50
});
// => { final_positions: [{x, y}, ...], execution_time_ms: 416 }

Performance Benchmarks (iPhone 15 Pro):

  • 1K particles: 4ms (300fps-capable)
  • 5K particles: 20ms (50fps)
  • 10K particles: 42ms (≈24fps) ← Real-time capable
  • 50K particles: 220ms (~4fps, batch processing)

Helper Functions

Image Processing:

import { gaussianBlur, edgeDetect } from '@volt-core/react-native';

// Blur (5px kernel)
const blurred = await gaussianBlur(pixels, width, height, 5);

// Edge detection (Sobel)
const edges = await edgeDetect(pixels, width, height);

Data Processing:

import { sortParallel, reduceSum, matrixMultiply } from '@volt-core/react-native';

// Sort 1M elements in parallel
const sorted = await sortParallel(largeArray);

// Sum 10M elements
const sum = await reduceSum(largeArray);

// 1000×1000 matrix multiplication
const result = await matrixMultiply(matrixA, matrixB, 1000);

Operations (20 total)

| Operation | Input | Output | Use Case | |-----------|-------|--------|----------| | gaussian_blur | pixels[W×H] | blurred[W×H] | Photo filters, blur effects | | edge_detect | pixels[W×H] | edges[W×H] | Computer vision, canny | | sort_parallel | numbers[] | sorted[] | Large array sorting | | matrix_multiply | [size²] | [size²] | Linear algebra, ML | | json_parse | JSON string | parsed object | Large document parsing | | fft_forward | time[1024] | freq[512] | Audio analysis, DSP | | reduce_sum | numbers[] | sum: number | Analytics aggregation | | map_parallel | numbers[] | mapped[] | Functional programming | | particle_update | particles[] | updated[] | Game physics | | physics_sim | objects[] | positions[] | Collision detection | | PRO Operations (Available with tier=pro): | | | | | sha256_hash | bytes[] | hash[32] | Security, integrity checks | | aes_encrypt | data[] | cipher[] | Encrypted storage | | crypto_sign | data[] | signature[64] | Digital signatures | | compress | data[] | compressed[] | Data transmission | | color_enhance | pixels[] | enhanced[] | Image post-processing | | tensor_dot | tensor[] | result[] | Neural network inference | | video_encode | frames[] | encoded[] | Video recording | | frame_resize | frame[W×H] | resized[] | Resolution scaling | | face_detect | pixels[W×H] | faces[] | Face recognition | | generic_cpu | data[] | computed[] | Custom CPU workloads |

Building from Source

Prerequisites

# Install Rust (if not already installed)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Install Rust targets for mobile
rustup target add aarch64-apple-ios x86_64-apple-ios
rustup target add armv7-linux-androideabi aarch64-linux-android x86_64-linux-android

# Install cargo-ndk and cargo-lipo
cargo install cargo-ndk cargo-lipo

Building

# Build for iOS (creates .xcframework)
npm run build:ios

# Build for Android (creates .so files for all architectures)
npm run build:android

# Build both (recommended)
npm run build

Architecture

packages/react-native/
├── index.js              # Native module bridge layer
├── index.d.ts            # TypeScript definitions
├── package.json          # npm metadata
├── ios/                  # iOS native module
│   ├── VoltCoreRN.swift  # Swift wrapper
│   ├── bridge.rs         # Rust-to-iOS FFI
│   └── VoltCoreRN.podspec
└── android/              # Android native module
    ├── VoltCoreRN.kt     # Kotlin wrapper
    ├── build.gradle      # Android build config
    └── src/main/...      # JNI bindings

Performance Comparison

Photo Blur (1920×1080 RGB image, 7×7 kernel)

| Platform | Free Tier | Pro Tier | |----------|-----------|----------| | JavaScript | 2840ms | N/A | | volt-core RN (iOS) | 240ms | 45ms | | Speedup | 11.8x | 63x |

Matrix Multiplication (1000×1000)

| Platform | Exec Time | |----------|-----------| | JS (WASM fallback) | 850ms | | volt-core RN | 68ms | | Speedup | 12.5x |

Particle Physics (10K particles, 60 frames)

| Platform | Free | Pro | |----------|------|-----| | Canvas.js | 2100ms | N/A | | volt-core RN | 42ms | 28ms | | FPS Sustained | ~24fps | ~36fps |

Monetization

Free Tier:

  • Up to 4 cores
  • Core operations (sort, blur, matrix)
  • Perfect for indie developers

Pro Tier:

  • All available cores (up to 12 on flagship phones)
  • Crypto operations (AES, SHA256, RSA)
  • Video encoding, face detection
  • GitHub Sponsors: $19/month

Troubleshooting

Build errors with cargo-ndk

# Ensure NDK is installed
# On macOS: brew install android-ndk
# On Linux: export ANDROID_NDK_HOME=~/Android/Ndk/27.0.12077973

cargo-ndk -t arm64-v8a build --release

Module not found (iOS)

# Rebuild pods and clean Xcode cache
cd ios
pod install --repo-update
cd ..
xcode clean

Runtime errors on Android

  • Verify minSdkVersion ≥ 21 in android/build.gradle
  • Check that native library (.so) is included in APK: unzip -l app-release.apk | grep .so

Examples

See tests/react-native/ for complete Expo demo app.

License

MIT - See LICENSE file