0D: Instruction caching and better benchmark function.

The previous benchmark function had a few flaws. First of all, it wasn't
idiomatic Rust, because we used a loop construct that you would expect in C.
Revamped that by using an iterator. Also, the previous benchmark got heavily
optimized by the compiler, which unrolled the inner loop it into a huge sequence
of consecutive loads and stores, resulting in lots of instructions that needed
to be fetched from DRAM. Additionally, instruction caching was not turned on.

The new code compiles into two tight loops, fully leveraging the power of the I
and D caches, and providing an great showcase.
pull/9/head
Andre Richter 6 years ago
parent c65e2e56cd
commit 68de789d15
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GPG Key ID: 2116C1AB102F615E

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@ -219,8 +219,8 @@ pub unsafe fn init() {
// First, force all previous changes to be seen before the MMU is enabled.
barrier::isb(barrier::SY);
// Enable the MMU and turn on caching
SCTLR_EL1.modify(SCTLR_EL1::M::Enable + SCTLR_EL1::C::Cacheable);
// Enable the MMU and turn on data and instruction caching.
SCTLR_EL1.modify(SCTLR_EL1::M::Enable + SCTLR_EL1::C::Cacheable + SCTLR_EL1::I::Cacheable);
// Force MMU init to complete before next instruction
barrier::isb(barrier::SY);

@ -13,7 +13,7 @@ performance.
## Benchmark
Let's write a tiny, arbitrary micro-benchmark to showcase the performance of
operating on the same DRAM with caching enabled and disabled.
operating with data on the same DRAM with caching enabled and disabled.
### mmu.rs
@ -31,7 +31,7 @@ block). This time, the block is configured as cacheable.
We write a little function that iteratively reads memory of five times the size
of a `cacheline`, in steps of 8 bytes, aka one processor register at a time. We
read the value, add 1, and write it back. This whole process is repeated
`100_000` times.
`20_000` times.
### main.rs
@ -46,12 +46,12 @@ On my Raspberry, I get the following results:
```text
Benchmarking non-cacheable DRAM modifications at virtual 0x00200000, physical 0x00400000:
664 miliseconds.
1040 miliseconds.
Benchmarking cacheable DRAM modifications at virtual 0x00400000, physical 0x00400000:
148 miliseconds.
53 miliseconds.
With caching, the function is 348% faster!
With caching, the function is 1862% faster!
```
Impressive, isn't it?

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@ -3,26 +3,25 @@ use cortex_a::{barrier, regs::*};
/// We assume that addr is cacheline aligned
pub fn batch_modify(addr: u64) -> u32 {
const CACHELINE_SIZE_BYTES: u64 = 64; // TODO: retrieve this from a system register
const NUM_CACHELINES_TOUCHED: u64 = 5;
const BYTES_PER_U64_REG: usize = 8;
const NUM_BENCH_ITERATIONS: u64 = 100_000;
const CACHELINE_SIZE_BYTES: usize = 64; // TODO: retrieve this from a system register
const NUM_CACHELINES_TOUCHED: usize = 5;
const NUM_BENCH_ITERATIONS: usize = 20_000;
const NUM_BYTES_TOUCHED: u64 = CACHELINE_SIZE_BYTES * NUM_CACHELINES_TOUCHED;
const NUM_BYTES_TOUCHED: usize = CACHELINE_SIZE_BYTES * NUM_CACHELINES_TOUCHED;
let mem = unsafe { core::slice::from_raw_parts_mut(addr as *mut u64, NUM_BYTES_TOUCHED) };
// Benchmark starts here
let t1 = CNTPCT_EL0.get();
compiler_fence(Ordering::SeqCst);
let mut data_ptr: *mut u64;
let mut temp: u64;
for _ in 0..NUM_BENCH_ITERATIONS {
for i in (addr..(addr + NUM_BYTES_TOUCHED)).step_by(BYTES_PER_U64_REG) {
data_ptr = i as *mut u64;
for qword in mem.iter_mut() {
unsafe {
temp = core::ptr::read_volatile(data_ptr);
core::ptr::write_volatile(data_ptr, temp + 1);
temp = core::ptr::read_volatile(qword);
core::ptr::write_volatile(qword, temp + 1);
}
}
}

@ -211,8 +211,8 @@ pub unsafe fn init() {
// First, force all previous changes to be seen before the MMU is enabled.
barrier::isb(barrier::SY);
// Enable the MMU and turn on caching
SCTLR_EL1.modify(SCTLR_EL1::M::Enable + SCTLR_EL1::C::Cacheable);
// Enable the MMU and turn on data and instruction caching.
SCTLR_EL1.modify(SCTLR_EL1::M::Enable + SCTLR_EL1::C::Cacheable + SCTLR_EL1::I::Cacheable);
// Force MMU init to complete before next instruction
barrier::isb(barrier::SY);

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