use anyhow::Result;
#[derive(Debug, Clone)]
pub struct GpuDevice {
pub device_id: i32,
pub name: String,
pub compute_capability: (i32, i32),
pub total_memory: usize,
pub free_memory: usize,
pub max_threads_per_block: i32,
pub max_blocks_per_grid: i32,
pub warp_size: i32,
pub memory_bandwidth: f32,
pub peak_flops: f64,
}
impl GpuDevice {
fn simulated(device_id: i32) -> Self {
Self {
device_id,
name: format!("Simulated GPU {device_id}"),
compute_capability: (7, 5),
total_memory: 8 * 1024 * 1024 * 1024,
free_memory: 6 * 1024 * 1024 * 1024,
max_threads_per_block: 1024,
max_blocks_per_grid: 65535,
warp_size: 32,
memory_bandwidth: 900.0,
peak_flops: 14000.0,
}
}
pub fn get_device_info(device_id: i32) -> Result<Self> {
tracing::warn!("CUDA not available - using simulated GPU device");
Ok(Self::simulated(device_id))
}
pub fn get_all_devices() -> Result<Vec<Self>> {
tracing::warn!("CUDA not available - using simulated GPU devices");
Ok(vec![Self::get_device_info(0)?, Self::get_device_info(1)?])
}
pub fn supports_compute_capability(&self, major: i32, minor: i32) -> bool {
self.compute_capability.0 > major
|| (self.compute_capability.0 == major && self.compute_capability.1 >= minor)
}
pub fn peak_memory_bandwidth(&self) -> f32 {
self.memory_bandwidth
}
pub fn peak_compute_performance(&self) -> f64 {
self.peak_flops
}
pub fn calculate_optimal_block_config(&self, problem_size: usize) -> (i32, i32) {
let optimal_threads = (self.max_threads_per_block as f32 * 0.75) as i32; let blocks_needed = ((problem_size as f32) / (optimal_threads as f32)).ceil() as i32;
let blocks = blocks_needed.min(self.max_blocks_per_grid);
(blocks, optimal_threads)
}
}