GPUDevice from init()
number of elements (must be a positive integer)
Float64Array input vector
stride for x (must be a positive integer)
0-based index of max |x[i]|
Returns the 0-based index of the element with the largest absolute value. Ties are broken in favour of the lower index, matching CBLAS behaviour.
import { init, cleanup } from "wgblas";
import { idamax } from "wgblas/idamax";
import { GpuVector } from "wgblas/classes/GpuVector";
import { randomFloat64Array } from "wgblas/random";
const device = await init();
const n = 10;
const x = randomFloat64Array(n, -10, 10);
const xGpu = GpuVector.from(x);
console.log("x: ", x);
const { index } = await idamax(device, n, xGpu, 1);
console.log("index: ", index);
xGpu.destroy();
if (typeof process !== "undefined") cleanup();
GPUDevice from init()
number of elements (must be a positive integer)
Float64Array-backed GpuVector input vector
stride for x (must be a positive integer)
0-based index of max |x[i]|
Returns the 0-based index of the element with the largest absolute value, for a vector of doubles. Each element of
xis split into a (hi, lo) double-double f32 pair (seesplitDoubleDouble/f64.mjs) since WGSL has no f64 type; comparisons use the double-double pair directly (hi, falling back to lo on an exact tie), giving ~48 bits of discriminating precision — more than a single f32 (24 bits) but less than true f64 (52 bits). Ties are broken in favour of the lower index, matching CBLAS behaviour.Browser (standalone HTML):