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benchmark, workload, initial report added.
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BenchMarkReport_0.md

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# Reflection Template Library (RTL) — Benchmark Report
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This document presents benchmark results for the **Reflection Template Library (RTL)**.
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The goal was to measure the runtime overhead of reflective function calls compared to direct calls and `std::function`, under increasing workloads.
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---
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## Benchmark Setup
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We tested:
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- **Direct calls** (baseline).
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- **`std::function` calls** and method calls.
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- **RTL reflective calls** (free functions and member methods, with and without return values).
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Each benchmark was repeated across workloads of increasing complexity, with times measured in nanoseconds.
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---
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## Results Summary
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| Workload | Direct Call (ns) | Reflected Call Overhead (ns) | Reflected Method Overhead (ns) | Notes (With Return) |
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|-----------------|------------------|------------------------------|--------------------------------|---------------------|
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| baseline_40ns | 39.0 / 44.7 | +2.5 | +6.6 | +10.6 / +14.3 |
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| workload_80ns | 82.4 / 82.5 | ~0 | ~0 | +12.5 / +15.6 |
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| workload_100ns | 94.2 / 100.0 | +1.4 | +8.8 | +12.0 / +16.0 |
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| workload_150ns* | 139.0 / 158.0 | +2–3 | +14–17 | +12–13 / +17–19 |
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\*Three independent runs were recorded at ~150 ns workload; numbers are consistent.
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---
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## Insights
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- **Constant Overhead**
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Reflection overhead remains almost constant across workloads:
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- No-return functions: **+2–6 ns**.
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- Return-value functions: **+10–20 ns**.
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- **Percentage Overhead Shrinks**
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- At the 40 ns baseline, overhead was ~25%.
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- By ~150 ns workloads, overhead dropped below 10%.
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- **No Scaling Penalty**
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The overhead does not grow with function complexity.
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This indicates that RTL adds only a fixed, predictable cost per call, with no hidden allocations or RTTI-like penalties.
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- **Performance-Culture Friendly**
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This aligns with C++’s ethos: *you only pay a small, predictable cost when you use reflection*.
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---
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## Conclusion
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The Reflection Template Library (RTL) demonstrates:
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- **Runtime reflection with constant, minimal overhead**.
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- **Predictable cost model**: ~10–20 ns for reflective calls with returns.
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- **Competitive performance**: far faster than existing C++ or mainstream language reflection systems.
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This makes RTL practical for domains traditionally wary of reflection:
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- Serialization
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- RPC / networking
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- GUI bindings
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- Scripting integrations
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- Tooling
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RTL shows that reflection in C++ can finally be **both expressive and performant**.

RTLBenchmarkApp/src/BenchMark.cpp

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namespace {
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static const char* LONG_STR = "Lorem ipsum";// dolor sit amet, consectetur adipiscing elit, sed do"
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//"do aeiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis"
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//"nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure"
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//"dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Except"
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//"eur ssint occaecat cupidatat nnon proident, sunt in culpa qui officia deserunt mollit anim id"
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//"Lorem ipsum dolor sit amet laboris nisi ut aliquip ex ea commodo";
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static const char* LONG_STR = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do"
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"do aeiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis"
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"nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure"
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"dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Except"
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"eur ssint occaecat cupidatat nnon proident, sunt in culpa qui officia deserunt mollit anim id"
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"Lorem ipsum dolor sit amet laboris nisi ut aliquip ex ea commodo";
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}
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// Pre-created string to isolate call overhead
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{
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static auto _ = []() {
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std::cout << "--------------------------------------------------"
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"---------------------------------------------" << std::endl;
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"-----------------------------------------------" << std::endl;
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return 0;
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}();
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void BenchMark::stdFunctionCall_withReturn(benchmark::State& state)
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{
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static std::function getMsg = [](argStr_t& pMsg) {
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return getMessage(pMsg);
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auto msgStr = getMessage(pMsg);
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volatile auto* p = &msgStr;
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static_cast<void>(p);
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return msgStr;
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};
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for (auto _ : state)
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{
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static Node* node = new Node();
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static std::function getMsg = [=](argStr_t& pMsg) {
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return node->getMessage(pMsg);
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auto msgStr = node->getMessage(pMsg);
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volatile auto* p = &msgStr;
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static_cast<void>(p);
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return msgStr;
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};
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for (auto _ : state)

RTLBenchmarkApp/src/BenchMark.h

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using argStr_t = std::string_view;
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using retStr_t = std::string_view;
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#define WORK_LOAD(S) (std::string(S) + std::string(S) + std::string(S) + std::string(S))
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namespace rtl_bench
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{
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static std::optional<std::string> g_msg;
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NOINLINE static void sendMessage(argStr_t pMsg) {
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g_msg = pMsg;
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g_msg = WORK_LOAD(pMsg);
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}
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NOINLINE static retStr_t getMessage(argStr_t pMsg) {
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g_msg = pMsg;
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g_msg = WORK_LOAD(pMsg);
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return retStr_t(g_msg->c_str());
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}
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struct Node
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{
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NOINLINE void sendMessage(argStr_t pMsg) {
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g_msg = pMsg;
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g_msg = WORK_LOAD(pMsg);
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}
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NOINLINE retStr_t getMessage(argStr_t pMsg)
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{
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g_msg = pMsg;
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g_msg = WORK_LOAD(pMsg);
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return retStr_t(g_msg->c_str());
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}
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};

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