msm(
  /* Scalars input vector */ &scalars, 
  /* Points input vector */ &points, 
  /* MSMConfig reference */ &cfg, 
  /* Projective point result */ &mut msm_results.as_slice()
).unwrap();

In this example we use BN254 curve. The function computes result = \sum_{i=0}^{size-1} scalars[i] \cdot points[i], where input points[] uses affine coordinates, and result uses projective coordinates.

What's in the example

Define the size of MSM.
Generate random inputs on-device
Configure MSM
Execute MSM on-device
Move the result on host

Running the example:

cargo run --release

You can add the --feature arkworks,profile flag to measure times of both ICICLE and arkworks.

Note

The default sizes are 2^19 - 2^23. You can change this by passing the --lower_bound_log_size <size> --upper_bound_log_size <size> options. To change the size range to 2^21 - 2^24, run the example like this:
cargo run --release -- -l 21 -u 24

Benchmarks

These benchmarks were run on a 16 core 24 thread i9-12900k CPU and an RTX 3090 Ti GPU

Single BN254 MSM

Library\Size	2^19	2^20	2^21	2^22	2^23
ICICLE	10 ms	11 ms	21 ms	39 ms	77 ms
Arkworks	284 ms	540 ms	1,152 ms	2,320 ms	4,491 ms

Single BLS12377 MSM

Library\Size	2^19	2^20	2^21	2^22	2^23
ICICLE	9 ms	14 ms	25 ms	48 ms	93 ms
Arkworks	490 ms	918 ms	1,861 ms	3,624 ms	7,191 ms