ronn_graph/passes/
provider_specific.rs

1use super::{OptimizationPass, PassStats};
2use crate::error::Result;
3use ronn_core::ModelGraph;
4use tracing::debug;
5
6/// CPU-specific optimizations
7pub struct CpuOptimizationPass;
8
9impl OptimizationPass for CpuOptimizationPass {
10    fn name(&self) -> &str {
11        "CpuOptimization"
12    }
13
14    fn run(&self, graph: &mut ModelGraph) -> Result<PassStats> {
15        let mut stats = PassStats::default();
16
17        // CPU-specific optimizations
18        stats.nodes_modified += self.optimize_for_simd(graph)?;
19        stats.nodes_modified += self.optimize_cache_locality(graph)?;
20
21        debug!(
22            "CPU optimization pass completed: {} nodes optimized",
23            stats.nodes_modified
24        );
25
26        Ok(stats)
27    }
28}
29
30impl CpuOptimizationPass {
31    /// Optimize operations for SIMD execution
32    fn optimize_for_simd(&self, _graph: &mut ModelGraph) -> Result<usize> {
33        // Hint operations to use SIMD intrinsics
34        // Align memory for vectorization
35        // Pad tensors to multiples of SIMD width
36        Ok(0)
37    }
38
39    /// Optimize for cache locality
40    fn optimize_cache_locality(&self, _graph: &mut ModelGraph) -> Result<usize> {
41        // Reorder operations to improve cache hit rate
42        // Tile large operations to fit in L1/L2 cache
43        Ok(0)
44    }
45}
46
47/// GPU-specific optimizations
48pub struct GpuOptimizationPass;
49
50impl OptimizationPass for GpuOptimizationPass {
51    fn name(&self) -> &str {
52        "GpuOptimization"
53    }
54
55    fn run(&self, graph: &mut ModelGraph) -> Result<PassStats> {
56        let mut stats = PassStats::default();
57
58        // GPU-specific optimizations
59        stats.nodes_fused += self.fuse_for_kernel_launch(graph)?;
60        stats.nodes_modified += self.optimize_memory_coalescing(graph)?;
61
62        debug!(
63            "GPU optimization pass completed: {} fusions, {} modifications",
64            stats.nodes_fused, stats.nodes_modified
65        );
66
67        Ok(stats)
68    }
69}
70
71impl GpuOptimizationPass {
72    /// Fuse operations to reduce kernel launch overhead
73    fn fuse_for_kernel_launch(&self, _graph: &mut ModelGraph) -> Result<usize> {
74        // Aggressively fuse element-wise operations
75        // Combine multiple small kernels into one large kernel
76        // Reduces PCIe overhead and kernel launch latency
77        Ok(0)
78    }
79
80    /// Optimize for coalesced memory access
81    fn optimize_memory_coalescing(&self, _graph: &mut ModelGraph) -> Result<usize> {
82        // Ensure memory accesses are coalesced
83        // Transpose operations where beneficial
84        // Use shared memory for repeated access
85        Ok(0)
86    }
87}
ronn_graph/passes/provider_specific.rs

ronn_graph/passes/
provider_specific.rs
