use super::{GpuConfig, GpuDevice, GpuBuffer};
use crate::{Vector, VectorData, similarity::SimilarityMetric};
use anyhow::Result;
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
use parking_lot::RwLock;
pub struct GpuAccelerator {
config: GpuConfig,
device: GpuDevice,
memory_pool: Arc<Mutex<Vec<GpuBuffer>>>,
kernel_cache: Arc<RwLock<HashMap<String, CudaKernel>>>,
performance_stats: Arc<RwLock<GpuPerformanceStats>>,
}
#[derive(Debug)]
pub struct CudaKernel {
name: String,
device_id: i32,
}
#[derive(Debug, Default)]
pub struct GpuPerformanceStats {
pub total_operations: u64,
pub total_time_ms: f64,
pub memory_transfers: u64,
pub kernel_launches: u64,
}
impl GpuAccelerator {
pub fn new(config: GpuConfig) -> Result<Self> {
let device = super::get_gpu_device(config.device_id)?;
Ok(Self {
config,
device,
memory_pool: Arc::new(Mutex::new(Vec::new())),
kernel_cache: Arc::new(RwLock::new(HashMap::new())),
performance_stats: Arc::new(RwLock::new(GpuPerformanceStats::default())),
})
}
pub fn calculate_similarity(
&self,
query: &Vector,
vectors: &[Vector],
metric: SimilarityMetric,
) -> Result<Vec<f32>> {
Ok(vec![0.0; vectors.len()])
}
pub fn batch_process(&self, vectors: &[Vector]) -> Result<Vec<Vector>> {
Ok(vectors.to_vec())
}
pub fn device(&self) -> &GpuDevice {
&self.device
}
pub fn config(&self) -> &GpuConfig {
&self.config
}
}