Faster matrix exponential

Compute the exponential of a 555 × 555 random matrix faster than scipy.linalg.expm, to a relative tolerance of 1e-5.

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1	{
2	"domain": "computer-science",
3	"topics": [
4	"scientific-computing"
5	],
6	"type": "algorithm",
7	"benchmark": {
8	"task": "Compute exp(A) for a 555 × 555 random matrix faster than scipy.linalg.expm",
9	"metric": {
10	"name": "Speed-up over the reference implementation (×)",
11	"better": "higher"
12	},
13	"baseline": {
14	"name": "Reference implementation",
15	"score": 1
16	}
17	},
18	"source": {
19	"key": "algotune",
20	"name": "AlgoTune",
21	"url": "https://github.com/oripress/AlgoTune/tree/main/AlgoTuneTasks/matrix_exponential",
22	"id": "matrix_exponential",
23	"curator": "Ori Press and the AlgoTune contributors",
24	"poser": "Ori Press et al. (AlgoTune)",
25	"status": "open",
26	"as_of": "2026-10-20",
27	"catalog": "0521c19bbd38"
28	},
29	"review": true,
30	"approval": "first-time"
31	}