oxiphysics_gpu/kernels/rigid/
semiimpliciteulerkernel_traits.rs

1//! # SemiImplicitEulerKernel - Trait Implementations
2//!
3//! This module contains trait implementations for `SemiImplicitEulerKernel`.
4//!
5//! ## Implemented Traits
6//!
7//! - `ComputeKernel`
8//!
9//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
10
11#[allow(unused_imports)]
12use super::functions::*;
13use crate::compute::ComputeKernel;
14
15use super::types::SemiImplicitEulerKernel;
16
17#[allow(clippy::needless_range_loop)]
18impl ComputeKernel for SemiImplicitEulerKernel {
19    fn name(&self) -> &str {
20        "SemiImplicitEulerKernel"
21    }
22    fn execute(&self, inputs: &[&[f64]], outputs: &mut [Vec<f64>], work_size: usize) {
23        if inputs.len() < 5 || outputs.len() < 2 {
24            return;
25        }
26        let pos = inputs[0];
27        let vel = inputs[1];
28        let force = inputs[2];
29        let inv_mass = inputs[3];
30        let dt = inputs[4][0];
31        let n = work_size;
32        let mut new_vel = vec![0.0; n * 3];
33        let mut new_pos = vec![0.0; n * 3];
34        for i in 0..n {
35            let im = inv_mass[i];
36            new_vel[i * 3] = vel[i * 3] + force[i * 3] * im * dt;
37            new_vel[i * 3 + 1] = vel[i * 3 + 1] + force[i * 3 + 1] * im * dt;
38            new_vel[i * 3 + 2] = vel[i * 3 + 2] + force[i * 3 + 2] * im * dt;
39            new_pos[i * 3] = pos[i * 3] + new_vel[i * 3] * dt;
40            new_pos[i * 3 + 1] = pos[i * 3 + 1] + new_vel[i * 3 + 1] * dt;
41            new_pos[i * 3 + 2] = pos[i * 3 + 2] + new_vel[i * 3 + 2] * dt;
42        }
43        outputs[0] = new_vel;
44        outputs[1] = new_pos;
45    }
46}

oxiphysics_gpu/kernels/rigid/semiimpliciteulerkernel_traits.rs

oxiphysics_gpu/kernels/rigid/
semiimpliciteulerkernel_traits.rs