scirs2_linalg/simd_ops/neural/
patterns.rs

1//! Pattern recognition and hashing for memory access patterns.
2
3use super::types::*;
4use scirs2_core::ndarray::Array2;
5use std::collections::HashMap;
6
7/// Pattern database for memory access patterns
8#[derive(Debug)]
9#[allow(dead_code)]
10pub struct PatternDatabase<T> {
11    /// Stored patterns
12    patterns: HashMap<PatternId, MemoryAccessPattern<T>>,
13    /// Pattern similarity index
14    similarity_index: PatternSimilarityIndex,
15    /// Pattern occurrence frequency
16    frequency_counter: HashMap<PatternId, usize>,
17    /// Pattern performance mapping
18    performance_mapping: HashMap<PatternId, f64>,
19}
20
21/// Pattern similarity index for fast lookup
22#[derive(Debug)]
23#[allow(dead_code)]
24pub struct PatternSimilarityIndex {
25    /// Locality sensitive hashing
26    lsh_index: LocalitySensitiveHashing,
27    /// Similarity threshold
28    similarity_threshold: f64,
29    /// Index build parameters
30    index_params: IndexParameters,
31}
32
33/// Locality sensitive hashing for pattern similarity
34#[derive(Debug)]
35#[allow(dead_code)]
36pub struct LocalitySensitiveHashing {
37    /// Hash functions
38    hash_functions: Vec<HashFunction>,
39    /// Hash tables
40    hash_tables: Vec<HashMap<u64, Vec<PatternId>>>,
41    /// Dimensionality
42    dimension: usize,
43}
44
45/// Hash function for LSH
46#[derive(Debug)]
47pub struct HashFunction {
48    /// Random projection matrix
49    pub projection: Array2<f64>,
50    /// Bias term
51    pub bias: f64,
52    /// Hash bucket width
53    pub bucket_width: f64,
54}
55
56/// Index parameters for similarity search
57#[derive(Debug, Clone)]
58pub struct IndexParameters {
59    /// Number of hash functions
60    pub num_hash_functions: usize,
61    /// Number of hash tables
62    pub num_hash_tables: usize,
63    /// Bucket width
64    pub bucket_width: f64,
65    /// Dimensionality reduction
66    pub dimension_reduction: Option<usize>,
67}
68
69/// Memory access pattern representation
70#[derive(Debug, Clone)]
71pub struct MemoryAccessPattern<T> {
72    /// Pattern ID
73    pub id: PatternId,
74    /// Access sequence
75    pub access_sequence: Vec<MemoryAccess>,
76    /// Pattern features
77    pub features: PatternFeatures,
78    /// Context information
79    pub context: AccessContext<T>,
80    /// Performance characteristics
81    pub performance: PatternPerformance,
82}
83
84/// Individual memory access
85#[derive(Debug, Clone)]
86pub struct MemoryAccess {
87    /// Memory address
88    pub address: usize,
89    /// Access size
90    pub size: usize,
91    /// Access type
92    pub access_type: MemoryAccessType,
93    /// Timestamp
94    pub timestamp: u64,
95    /// Thread ID
96    pub thread_id: usize,
97}
98
99/// Pattern features for classification and similarity
100#[derive(Debug, Clone)]
101pub struct PatternFeatures {
102    /// Spatial locality score
103    pub spatial_locality: f64,
104    /// Temporal locality score
105    pub temporal_locality: f64,
106    /// Stride pattern
107    pub stride_pattern: Vec<isize>,
108    /// Access density
109    pub access_density: f64,
110    /// Repetition factor
111    pub repetition_factor: f64,
112    /// Working set size
113    pub working_setsize: usize,
114    /// Cache utilization
115    pub cache_utilization: f64,
116}
117
118/// Performance characteristics of a pattern
119#[derive(Debug, Clone)]
120pub struct PatternPerformance {
121    /// Average latency
122    pub average_latency: f64,
123    /// Bandwidth utilization
124    pub bandwidth_utilization: f64,
125    /// Cache hit rate
126    pub cache_hit_rate: f64,
127    /// Energy efficiency
128    pub energy_efficiency: f64,
129    /// Scalability factor
130    pub scalability_factor: f64,
131}
132
133// Implementations
134impl<T> Default for PatternDatabase<T> {
135    fn default() -> Self {
136        Self::new()
137    }
138}
139
140impl<T> PatternDatabase<T> {
141    pub fn new() -> Self {
142        Self {
143            patterns: HashMap::new(),
144            similarity_index: PatternSimilarityIndex::new(),
145            frequency_counter: HashMap::new(),
146            performance_mapping: HashMap::new(),
147        }
148    }
149}
150
151impl Default for PatternSimilarityIndex {
152    fn default() -> Self {
153        Self::new()
154    }
155}
156
157impl PatternSimilarityIndex {
158    pub fn new() -> Self {
159        Self {
160            lsh_index: LocalitySensitiveHashing::new(),
161            similarity_threshold: 0.8,
162            index_params: IndexParameters::default(),
163        }
164    }
165}
166
167impl Default for LocalitySensitiveHashing {
168    fn default() -> Self {
169        Self::new()
170    }
171}
172
173impl LocalitySensitiveHashing {
174    pub fn new() -> Self {
175        Self {
176            hash_functions: Vec::new(),
177            hash_tables: Vec::new(),
178            dimension: 128,
179        }
180    }
181}
182
183impl Default for IndexParameters {
184    fn default() -> Self {
185        Self {
186            num_hash_functions: 10,
187            num_hash_tables: 5,
188            bucket_width: 1.0,
189            dimension_reduction: Some(64),
190        }
191    }
192}
scirs2_linalg/simd_ops/neural/patterns.rs

scirs2_linalg/simd_ops/neural/
patterns.rs
