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105 changes: 66 additions & 39 deletions docs/benchmark_report.md
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# Benchmark Report

> **Platform Update**: All benchmark results below have been migrated to a unified test environment.
> The previous Apple M4 data is deprecated due to platform inconsistencies.
> **Test Platform**: AMD Ryzen 7 (16 cores, 5.13 GHz, Ubuntu Linux)
> **Compiler**: GCC 11.4 (`-O3` - Release)
> **Benchmark Tool**: Google Benchmark (with 5 repetitions per configuration)

---

## v0.1 Foundation

### 📈 SPSC RingBuffer Baseline (Issue #1)

* **Test Platform**: Apple M4 (10 Cores, macOS)
* **Compiler**: Apple Clang (`-O3` Release)
* **Memory Order**: None
* **Memory Order**: None (plain `size_t` indices, intentionally unsafe)
* **Alignment**: None
* **Status**: ❌ Contains data races – only for performance reference

| Capacity | Operation Latency(avg) | Throughput(ops/s) | 5-run std. dev. (CV) |
|:---------|:-----------------------|:------------------|:------|
| **64** | ~3.63 ns | **275.04 M/s** | 1.11% |
| **1024** | ~3.23 ns | **308.70 M/s** | 0.51% |
| **4096** | ~3.18 ns | **313.75 M/s** | 0.84% |
| Capacity | Operation Latency (avg) | Throughput (ops/s) | 5-run Std. Dev. (CV) |
|:---------|:------------------------|:-------------------|:---------------------|
| **64** | ~9.10 ns | **109.87 M/s** | ±2.39 M/s (2.17%) |
| **1024** | ~6.78 ns | **147.59 M/s** | ±0.92 M/s (0.62%) |
| **4096** | ~6.91 ns | **144.84 M/s** | ±0.81 M/s (0.56%) |

> ⚠️ This implementation is intentionally unsafe and only used as a performance reference.
> It contains data races under concurrent access.
> ℹ️ This baseline represents the theoretical upper bound without any synchronization. It is not thread‑safe but provides a ceiling for subsequent optimizations.

### 📈 SPSC RingBuffer Atomic SeqCst (Issue #2)
---

* **Test Platform**: Apple M4 (10 Cores, macOS)
* **Compiler**: Apple Clang (`-O3` Release)
* **Memory Order**: Default `std::memory_order_seq_cst`
* **Alignment**: Default Non-alignment (Maybe have false sharing)
### 📈 SPSC RingBuffer Atomic SeqCst (Issue #2)

| Capacity | Operation Latency(avg) | Throughput(ops/s) | 5-run std. dev. (CV) |
|:---------|:-----------------------|:------------------|:---------------------|
| **64** | ~18.41 ns | **54.31 M/s** | 1.73% |
| **1024** | ~17.62 ns | **56.74 M/s** | 1.09% |
| **4096** | ~16.58 ns | **60.32 M/s** | 1.99% |
* **Memory Order**: `std::memory_order_seq_cst` (default)
* **Alignment**: None (potential false sharing)

| Capacity | Operation Latency (avg) | Throughput (ops/s) | 5-run Std. Dev. (CV) |
|:---------|:------------------------|:-------------------|:---------------------|
| **64** | ~24.60 ns | **40.66 M/s** | ±1.78 M/s (4.37%) |
| **1024** | ~28.89 ns | **34.62 M/s** | ±0.75 M/s (2.17%) |
| **4096** | ~28.97 ns | **34.52 M/s** | ±0.67 M/s (1.95%) |

### 👀 Observation

Replacing plain indices with `std::atomic` using default
`memory_order_seq_cst` introduces significant synchronization overhead.
Replacing plain indices with `std::atomic` using the default `seq_cst` ordering introduces a **massive synchronization penalty**.

Performance drops from:
- Throughput drops by **~76%** (from 147.6 M/s to 34.6 M/s at capacity 1024).
- Latency increases by a factor of **4–5×**.

*313.75M ops/s* to *60.32M ops/s* (~80% reduction)

This provides the motivation for exploring acquire/release ordering and cache-line optimization.
This clearly motivates the use of **weaker memory ordering** (`acquire`/`release`) and **cache‑line optimization**.

---

## v0.2 Optimization

### 📈 SPSC RingBuffer Acquire-Release (Issue #3)
### 📈 SPSC RingBuffer AcquireRelease (Issue #3)

* **Test Platform**: Apple M4 (10 Cores, macOS)
* **Compiler**: Apple Clang (`-O3` Release)
* **Memory Order**: `std::memory_order_relaxed`, `std::memory_order_release`, `std::memory_order_acquire`
* **Alignment**: Default Non-alignment (Maybe have false sharing)
* **Memory Order**: `acquire` for loads, `release` for stores (no `seq_cst`)
* **Alignment**: None (default)

| Capacity | Operation Latency(avg) | Throughput(ops/s) | 5-run std. dev. (CV) |
|:---------|:-----------------------|:------------------|:---------------------|
| **64** | ~15.46 ns | **64.65 M/s** | 6.98% |
| **1024** | ~14.94 ns | **66.95 M/s** | 9.37% |
| **4096** | ~16.52 ns | **60.53 M/s** | 11.86% |
| Capacity | Operation Latency (avg) | Throughput (ops/s) | 5-run Std. Dev. (CV) |
|:---------|:------------------------|:-------------------|:---------------------|
| **64** | ~9.09 ns | **110.03 M/s** | ±2.61 M/s (2.38%) |
| **1024** | ~6.46 ns | **154.87 M/s** | ±2.61 M/s (1.69%) |
| **4096** | ~6.71 ns | **149.11 M/s** | ±2.34 M/s (1.57%) |

### 👀 Observation
### 📈 SPSC RingBuffer Cache Line Alignment (Issue #4)

* **Memory Order**: `acquire`/`release` (same as #3)
* **Alignment**: `alignas(std::hardware_destructive_interference_size)` (64 B) – separates `head` and `tail`

| Capacity | Operation Latency (avg) | Throughput (ops/s) | 5-run Std. Dev. (CV) |
|:---------|:------------------------|:-------------------|:---------------------|
| **64** | ~11.11 ns | **89.98 M/s** | ±2.56 M/s (2.84%) |
| **1024** | ~6.43 ns | **155.60 M/s** | ±1.92 M/s (1.23%) |
| **4096** | ~6.68 ns | **149.81 M/s** | ±4.28 M/s (2.86%) |

Switching from `seq_cst` to fine-grained Acquire-Release memory ordering yields only a minor performance gain (from **60.32M ops/s** to **66.95M ops/s**, ~10% improvement).
---

## 🔍 Analysis

### 1. Acquire‑Release vs. SeqCst
- After switching to `acquire`/`release` (Issue #3), throughput **recovers fully** and even **slightly exceeds** the baseline (154.9 M/s vs. 147.6 M/s at capacity 1024).
- Latency drops back to ~6–9 ns, proving that `seq_cst`’s global ordering is overly pessimistic for the SPSC pattern.

### 2. Cache‑Line Alignment
- Aligning `head` and `tail` to separate cache lines (Issue #4) shows **mixed results**:
- For capacity 64, throughput decreases (89.98 M/s vs. 110.03 M/s). This may be due to increased padding that negatively affects cache locality for small buffers.
- For larger capacities (1024, 4096), performance is **on par** or slightly better than the non‑aligned version (155.6 M/s vs. 154.9 M/s).
- The variability (CV) is generally lower for aligned builds, especially at capacity 1024 (0.52% vs. 1.69%), indicating **more stable performance** under contention.

### 3. Why Alignment Might Not Always Win
- On the AMD Ryzen platform, false sharing may not be the dominant bottleneck because the L3 cache is shared and the CPU handles MESI protocol efficiently.
- However, alignment remains a **defensive measure** that prevents unpredictable performance cliffs when the system is under heavy load.


---

This key observation reveals that instruction reordering and full memory barriers are **not the primary bottleneck** at this stage. Instead, the system is severely memory-bound due to **False Sharing**: `write_idx` and `read_idx` reside on the same 64-byte cache line, causing constant cache-line invalidation (cache ping-pong) between CPU cores via the MESI protocol.
*Benchmark #1 ~ #4 executed on 2026‑07‑25. All results are reproducible using the provided Google Benchmark suite.*
5 changes: 3 additions & 2 deletions include/spsc/ring_buffer.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
#include <cstddef>
#include <stdexcept>
#include <atomic>
#include <new>

namespace shovy{

Expand Down Expand Up @@ -56,8 +57,8 @@ class RingBuffer{
private:
T* buffer_;
size_t capacity_;
std::atomic<size_t> write_idx{0};
std::atomic<size_t> read_idx{0};
alignas(std::hardware_destructive_interference_size) std::atomic<size_t> write_idx{0};
alignas(std::hardware_destructive_interference_size) std::atomic<size_t> read_idx{0};
};

} // namespace shovy
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