@danielsimonjr/mathts-wasm

@danielsimonjr/mathts-wasm

High-performance WebAssembly module for MathTS, built with AssemblyScript.

Features

• SIMD Acceleration: Utilizes WebAssembly SIMD for vectorized operations
• Zero-Copy Operations: Works directly on typed arrays for minimal overhead
• Comprehensive Math: Scalar, array, matrix, and complex number operations
• Cross-Platform: Works in browsers, Node.js, Deno, and edge runtimes

Building

# Install dependencies
npm install

# Build debug WASM (with debugging info)
npm run asbuild:debug

# Build release WASM (optimized)
npm run asbuild:release

# Build both
npm run asbuild

Usage

Browser

import { MathTSWasm } from '@danielsimonjr/mathts-wasm';

const wasm = await MathTSWasm.create('/path/to/mathts.wasm');

// Scalar operations
const sum = wasm.add(2, 3); // 5
const sqrt = wasm.sqrt(16); // 4
const sin = wasm.sin(Math.PI / 2); // 1

// For array/matrix operations, use the raw exports
const exports = wasm.raw;
// ... work with typed arrays and pointers

Node.js

import { loadWasmSync } from '@danielsimonjr/mathts-wasm';
import fs from 'fs';

const buffer = fs.readFileSync('./build/mathts.wasm');
const { exports } = loadWasmSync(buffer);

console.log(exports.add_f64(2, 3)); // 5

Module Structure

assembly/
├── src/
│   ├── index.ts          # Main entry point
│   ├── types/
│   │   └── complex.ts    # Complex number type
│   ├── ops/              # scalar, array, matrix, complex-ops,
│   │   │                 # complex-array, linalg, svd, signal,
│   │   │                 # special, polynomial, number-theory,
│   │   └── ...           # optimization, curvefit, approx, tensor
│   ├── env/
│   │   └── abort.ts      # Error handling
│   └── bindings/
│       ├── index.ts        # Bindings entry point
│       └── wasm-loader.ts  # JS/TS bindings (SHA-384 verified)
├── build/                # WASM output
├── tests/
│   └── run.js           # Test runner
├── asconfig.json          # AssemblyScript config
├── tsconfig.bindings.json # TypeScript bindings config
└── package.json

Available Operations

Scalar Operations

• Basic: add_f64, sub_f64, mul_f64, div_f64, mod_f64, neg_f64
• Power: sqrt_f64, pow_f64, square_f64, cube_f64, cbrt_f64
• Exp/Log: exp_f64, log_f64, log10_f64, log2_f64
• Trig: sin_f64, cos_f64, tan_f64, asin_f64, acos_f64, atan_f64
• Hyperbolic: sinh_f64, cosh_f64, tanh_f64, asinh_f64, acosh_f64, atanh_f64
• Rounding: abs_f64, floor_f64, ceil_f64, round_f64, trunc_f64

Array Operations

• Reductions: array_sum, array_product, array_mean, array_variance, array_min, array_max
• Norms: array_norm, array_norm_l1, array_norm_linf
• Element-wise: array_add, array_sub, array_mul, array_div, array_scale
• BLAS-like: array_dot, array_axpby, array_distance

Matrix Operations

• Creation: matrix_zeros, matrix_ones, matrix_identity, matrix_diag
• Arithmetic: matrix_add, matrix_sub, matrix_scale, matrix_multiply
• Properties: matrix_trace, matrix_norm_frobenius, matrix_transpose
• BLAS: matrix_gemm, matrix_gemv, matrix_axpy

Complex Operations

• Arithmetic: complex_add, complex_sub, complex_mul, complex_div
• Functions: complex_exp, complex_log, complex_sqrt, complex_pow
• Trig: complex_sin, complex_cos, complex_tan, complex_asin, complex_acos
• Properties: complex_abs, complex_arg, complex_conj

Performance Notes

1. SIMD: Enabled by default for vector operations
2. Memory Layout: Matrices use row-major order
3. Complex Arrays: Use interleaved storage [re0, im0, re1, im1, ...]

Testing

# Run tests (requires build first)
npm run asbuild:debug
npm test

License

MIT