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Arbitrary-precision Integer, Rational and Float types based on the GMP and MPFR libraries
Arbitrary-precision Integer, Rational and Float types based on the GMP and MPFR libraries.
npm i gmp-wasm
It can also be used directly from HTML (via jsDelivr):
<!-- loads the minified library into the global `gmp` variable -->
<script src="https://cdn.jsdelivr.net/npm/gmp-wasm"></script>
<!-- or the non-minified library -->
<script src="https://cdn.jsdelivr.net/npm/gmp-wasm/dist/index.umd.js"></script>
gmp-wasm also provides a high-level wrapper over the GMP functions. There are three major components:
g.Integer()
- Wraps integers (MPZ)g.Rational()
- Wraps rational numbers (MPQ)g.Float()
- Wraps floating-point numbers (MPFR)const gmp = require('gmp-wasm');
gmp.init().then(({ calculate }) => {
// calculate() automatically deallocates all objects created within the callback function
const result = calculate((g) => {
const six = g.Float(1).add(5);
return g.Pi().div(six).sin(); // sin(Pi/6) = 0.5
});
console.log(result);
});
It is also possible to delay deallocation through the getContext()
API:
const gmp = require('gmp-wasm');
gmp.init().then(({ getContext }) => {
const ctx = getContext();
let x = ctx.Integer(1);
for (let i = 2; i < 16; i++) {
x = x.add(i);
}
console.log(x.toString());
setTimeout(() => ctx.destroy(), 50);
});
The precision and the rounding modes can be set by passing a parameter to the context or to the Float constructor.
const gmp = require('gmp-wasm');
const roundingMode = gmp.FloatRoundingMode.ROUND_TOWARD_NEG_INF;
const options = { precisionBits: 10, roundingMode };
const result = calculate(g => g.Float(1).div(3), options);
// or
const result2 = calculate(g => g.Float(1, options).div(3));
// or
const ctx = getContext(options);
const result3 = ctx.Float(1).div(3).toString();
If you want more control and performance you can use the original GMP / MPFR functions.
const gmp = require('gmp-wasm');
gmp.init().then(({ binding }) => {
// Create first number and initialize it to 30
const num1Ptr = binding.mpz_t();
binding.mpz_init_set_si(num1Ptr, 30);
// Create second number from string. The string needs to be copied into WASM memory
const num2Ptr = binding.mpz_t();
const strPtr = binding.malloc_cstr('40');
binding.mpz_init_set_str(num2Ptr, strPtr, 10);
// Calculate num1Ptr + num2Ptr, store the result in num1Ptr
binding.mpz_add(num1Ptr, num1Ptr, num2Ptr);
// Get result as integer
console.log(binding.mpz_get_si(num1Ptr));
// Deallocate memory
binding.free(strPtr);
binding.mpz_clears(num1Ptr, num2Ptr);
binding.mpz_t_frees(num1Ptr, num2Ptr);
});
Sometimes, it's easier and faster to deallocate everything by reinitializing the WASM bindings:
// Deallocate all memory objects created by gmp-wasm
await binding.reset();
In some cases, this library can provide better performance than the built-in BigInt type.
For example, calculating 8000 digits of Pi using the following formula provides better results:
PI = 3
+ 3 * (1/2) * (1/3) * (1/4)
+ 3 * ((1 * 3)/(2 * 4)) * (1/5) * (1 / (4^2))
+ 3 * ((1 * 3 * 5) / (2 * 4 * 6)) * (1/7) * (1 / (4^3))
+ ...
Test | Avg. time | Speedup |
---|---|---|
With JS built-in BigInt type | 130.20 ms | 1x |
gmp-wasm Integer() high-level wrapper | 87.90 ms | 1.48x |
Same as previous with delayed memory deallocation | 78.88 ms | 1.65x |
gmp-wasm MPZ low-level functions | 53.93 ms | 2.41x |
decimal.js 10.3.1 with integer division | 426.99 ms | 0.30x |
big-integer 1.6.51 | 129.98 ms | 1x |
---------------------------- | -------- | -------- |
gmp-wasm Float() high-level wrapper | 198.31 ms | 0.66x |
Same as previous with delayed memory deallocation | 191.94 ms | 0.68x |
gmp-wasm MPFR low-level functions | 135.49 ms | 0.96x |
decimal.js 10.3.1 with float division | 764.15 ms | 0.17x |
---------------------------- | -------- | -------- |
gmp-wasm Float(1).atan().mul(4) | 0.65 ms | 200.31x |
gmp-wasm Float('0.5').asin().mul(6) | 17.21 ms | 7.57x |
* These measurements were made with Node.js v16.13
on an Intel Kaby Lake desktop CPU. Source code is here.
FAQs
Arbitrary-precision Integer, Rational and Float types based on the GMP and MPFR libraries
The npm package gmp-wasm receives a total of 50 weekly downloads. As such, gmp-wasm popularity was classified as not popular.
We found that gmp-wasm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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