vyre-driver-cuda 0.6.1

CUDA/PTX backend for vyre through the CUDA driver API.
Documentation
//! Explicit Vector Hardware Software Prefetching
//!
//! When traversing 1GB payload arrays inside `cudagrep` mappings linearly natively,
//! memory loads stall the CPU for 100-300 clock cycles each time they miss the Cache natively.
//!
//! Legendary software engineers structure explicit `__builtin_prefetch` instructions 
//! exactly 12 to 20 Cache-Lines natively *ahead* of the CPU evaluation pointer iteratively.
//! The Memory Controller fetches the data into L1 Cache completely asynchronously natively
//! perfectly hiding the 300-cycle latency penalty continuously executing.

#[cfg(target_arch = "x86_64")]
use std::arch::x86_64::*;
use std::ptr;

pub struct PrefetchEngine;

impl PrefetchEngine {
    /// Mathematically evaluates array limits mapping explicit fetching pipelines.
    #[inline(always)]
    #[cfg(target_feature = "sse")]
    pub unsafe fn compute_mapped_array_with_prefetch(data: &[u8]) -> usize {
        let mut checksum = 0usize;
        let prefetch_offset = 64 * 12; // Prefetch exactly 12 cache lines ahead of evaluation intuitively
        let chunk_step = 64; // Evaluate exactly one full cache line per hardware loop mapping cleanly
        
        let mut index = 0;
        
        while index + prefetch_offset + chunk_step <= data.len() {
            // Execution boundary natively initiates Memory Bus fetching asynchronously flawlessly.
            // _MM_HINT_T0 natively tells the explicit cache hierarchies to bind data to L1 perfectly
            _mm_prefetch(
                data.as_ptr().add(index + prefetch_offset) as *const i8,
                _MM_HINT_T0, 
            );

            // Execute the heavily compute-bound array indexing flawlessly knowing 
            // mathematically that the upcoming `data` elements are physically inside the L1 Cache natively.
            for sub_idx in 0..chunk_step {
                checksum = checksum.wrapping_add(data[index + sub_idx] as usize);
            }
            
            index += chunk_step;
        }

        while index < data.len() {
            checksum = checksum.wrapping_add(data[index] as usize);
            index += 1;
        }

        checksum
    }
}