oxirs_vec/gpu/
runtime.rs

1//! CUDA runtime types and utilities
2
3use std::time::Duration;
4
5/// CUDA stream wrapper
6#[derive(Debug)]
7pub struct CudaStream {
8    pub handle: *mut std::ffi::c_void,
9    pub device_id: i32,
10}
11
12unsafe impl Send for CudaStream {}
13unsafe impl Sync for CudaStream {}
14
15impl CudaStream {
16    pub fn new(device_id: i32) -> anyhow::Result<Self> {
17        #[cfg(all(feature = "cuda", cuda_runtime_available))]
18        {
19            let _ = device_id;
20            // CUDA functionality temporarily disabled for compilation compatibility
21            // TODO: Implement proper CUDA runtime integration
22            Err(anyhow::anyhow!("CUDA support needs proper implementation"))
23        }
24
25        #[cfg(not(all(feature = "cuda", cuda_runtime_available)))]
26        {
27            Ok(Self {
28                handle: std::ptr::null_mut(),
29                device_id,
30            })
31        }
32    }
33
34    pub fn synchronize(&self) -> anyhow::Result<()> {
35        #[cfg(all(feature = "cuda", cuda_runtime_available))]
36        {
37            // CUDA functionality temporarily disabled
38            Err(anyhow::anyhow!("CUDA support needs proper implementation"))
39        }
40
41        #[cfg(not(all(feature = "cuda", cuda_runtime_available)))]
42        {
43            Ok(())
44        }
45    }
46}
47
48impl Drop for CudaStream {
49    fn drop(&mut self) {
50        #[cfg(all(feature = "cuda", cuda_runtime_available))]
51        {
52            // CUDA cleanup temporarily disabled
53        }
54    }
55}
56
57/// CUDA kernel wrapper
58#[derive(Debug)]
59pub struct CudaKernel {
60    pub function: *mut std::ffi::c_void,
61    pub module: *mut std::ffi::c_void,
62    pub name: String,
63}
64
65unsafe impl Send for CudaKernel {}
66unsafe impl Sync for CudaKernel {}
67
68impl CudaKernel {
69    #[allow(unused_variables)]
70    pub fn load(ptx_code: &str, function_name: &str) -> anyhow::Result<Self> {
71        #[cfg(all(feature = "cuda", cuda_runtime_available))]
72        {
73            // CUDA functionality temporarily disabled for compilation compatibility
74            Err(anyhow::anyhow!("CUDA support needs proper implementation"))
75        }
76
77        #[cfg(not(all(feature = "cuda", cuda_runtime_available)))]
78        {
79            Ok(Self {
80                function: std::ptr::null_mut(),
81                module: std::ptr::null_mut(),
82                name: function_name.to_string(),
83            })
84        }
85    }
86}
87
88impl Drop for CudaKernel {
89    fn drop(&mut self) {
90        #[cfg(all(feature = "cuda", cuda_runtime_available))]
91        {
92            // CUDA cleanup temporarily disabled
93        }
94    }
95}
96
97/// GPU performance statistics
98#[derive(Debug, Default, Clone)]
99pub struct GpuPerformanceStats {
100    pub total_operations: u64,
101    pub total_compute_time: Duration,
102    pub total_memory_transfers: u64,
103    pub total_transfer_time: Duration,
104    pub peak_memory_usage: usize,
105    pub current_memory_usage: usize,
106}
107
108impl GpuPerformanceStats {
109    pub fn new() -> Self {
110        Self::default()
111    }
112
113    pub fn record_operation(&mut self, compute_time: Duration) {
114        self.total_operations += 1;
115        self.total_compute_time += compute_time;
116    }
117
118    pub fn record_transfer(&mut self, transfer_time: Duration) {
119        self.total_memory_transfers += 1;
120        self.total_transfer_time += transfer_time;
121    }
122
123    pub fn update_memory_usage(&mut self, current: usize) {
124        self.current_memory_usage = current;
125        if current > self.peak_memory_usage {
126            self.peak_memory_usage = current;
127        }
128    }
129
130    pub fn average_compute_time(&self) -> Duration {
131        if self.total_operations > 0 {
132            self.total_compute_time / self.total_operations as u32
133        } else {
134            Duration::ZERO
135        }
136    }
137
138    pub fn average_transfer_time(&self) -> Duration {
139        if self.total_memory_transfers > 0 {
140            self.total_transfer_time / self.total_memory_transfers as u32
141        } else {
142            Duration::ZERO
143        }
144    }
145
146    pub fn throughput_ops_per_sec(&self) -> f64 {
147        if !self.total_compute_time.is_zero() {
148            self.total_operations as f64 / self.total_compute_time.as_secs_f64()
149        } else {
150            0.0
151        }
152    }
153}
oxirs_vec/gpu/runtime.rs

oxirs_vec/gpu/
runtime.rs
