use crate::benchmarks::{BenchmarkConfig, BenchmarkFramework, BenchmarkResult, MetricType};
use std::sync::atomic::{AtomicUsize, Ordering};
use std::sync::{Arc, Mutex};
use std::time::Duration;
use tokio::task::{self, JoinHandle};
pub struct ConcurrentBenchmark;
impl ConcurrentBenchmark {
pub fn new() -> Self {
Self
}
pub fn multithreaded_execution_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("multithreaded_execution", MetricType::Throughput, || {
let num_threads: _ = 4;
let mut handles = Vec::new();
for _ in 0..num_threads {
handles.push(std::thread::spawn(|| {
let mut sum = 0;
for i in 0..10000 {
sum += i * 2;
}
sum
}));
}
let mut total = 0;
for handle in handles {
total += handle.join().unwrap();
}
total
})
}
pub fn async_task_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("async_task", MetricType::Throughput, || {
let rt: _ = tokio::runtime::Runtime::new().unwrap();
rt.block_on(async {
let mut handles: Vec<JoinHandle<i32>> = Vec::new();
for _ in 0..10 {
handles.push(task::spawn(async {
let mut sum = 0;
for i in 0..1000 {
sum += i * 2;
}
sum
}));
}
let mut total = 0;
for handle in handles {
total += handle.await.unwrap();
}
total
})
})
}
pub fn lock_contention_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("lock_contention", MetricType::Throughput, || {
let counter: _ = Arc::new(Mutex::new(0));
let mut handles = Vec::new();
for _ in 0..10 {
let counter: _ = Arc::clone(&counter);
handles.push(std::thread::spawn(move || {
for _ in 0..1000 {
let mut c = counter.lock().unwrap();
*c += 1;
}
}));
}
for handle in handles {
handle.join().unwrap();
}
let final_count: _ = *counter.lock().unwrap();
final_count
})
}
pub fn lock_free_counter_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("lock_free_counter", MetricType::Throughput, || {
let counter: _ = Arc::new(AtomicUsize::new(0));
let mut handles = Vec::new();
for _ in 0..10 {
let counter: _ = Arc::clone(&counter);
handles.push(std::thread::spawn(move || {
for _ in 0..1000 {
counter.fetch_add(1, Ordering::SeqCst);
}
}));
}
for handle in handles {
handle.join().unwrap();
}
counter.load(Ordering::SeqCst)
})
}
pub fn work_stealing_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("work_stealing", MetricType::Throughput, || {
let rt: _ = tokio::runtime::Runtime::new().unwrap();
rt.block_on(async {
let mut tasks = Vec::new();
for _ in 0..20 {
tasks.push(task::spawn(async {
let mut sum = 0;
for i in 0..500 {
sum += i * 2;
}
sum
}));
}
let mut total = 0;
for task in tasks {
total += task.await.unwrap();
}
total
})
})
}
pub fn producer_consumer_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("producer_consumer", MetricType::Throughput, || {
let (tx, rx) = std::sync::mpsc::channel::<i32>();
let num_producers: _ = 4;
let producer_handles: Vec<_> = (0..num_producers)
.map(|id| {
let tx: _ = tx.clone();
std::thread::spawn(move || {
for i in 0..100 {
tx.send((i * id) as i32).unwrap();
}
})
})
.collect();
let consumer_result = std::thread::spawn(move || {
let mut sum = 0;
for _ in 0..(num_producers * 100) {
if let Ok(val) = rx.recv() {
sum += val;
}
}
sum
})
.join()
.unwrap();
for handle in producer_handles {
handle.join().unwrap();
}
consumer_result
})
}
pub fn data_race_detection_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("data_race_detection", MetricType::Throughput, || {
let shared: _ = Arc::new(Mutex::new(0));
let mut handles = Vec::new();
for _ in 0..10 {
let shared: _ = Arc::clone(&shared);
handles.push(std::thread::spawn(move || {
let _guard: _ = shared.lock().unwrap();
std::thread::sleep(Duration::from_micros(1));
}));
}
for handle in handles {
handle.join().unwrap();
}
let final_value: _ = *shared.lock().unwrap();
final_value
})
}
pub fn run_all_benchmarks(&self) -> Vec<BenchmarkResult> {
vec![
self.multithreaded_execution_benchmark(),
self.async_task_benchmark(),
self.lock_contention_benchmark(),
self.lock_free_counter_benchmark(),
self.work_stealing_benchmark(),
self.producer_consumer_benchmark(),
self.data_race_detection_benchmark(),
]
}
pub fn generate_report(&self, results: &[BenchmarkResult]) -> String {
let mut report = String::new();
report.push_str("=== Concurrent Performance Report ===\n\n");
for result in results {
report.push_str(&result.format_summary());
report.push_str("\n\n");
}
let total_throughput: f64 = results.iter().map(|r| r.operations_per_second).sum();
let avg_throughput: _ = total_throughput / results.len() as f64;
report.push_str(&format!(
"Total Throughput: {:.0} ops/sec\n",
total_throughput
));
report.push_str(&format!(
"Average Throughput: {:.0} ops/sec\n",
avg_throughput
));
report
}
}
impl Default for ConcurrentBenchmark {
fn default() -> Self {
Self::new()
}
}
pub struct ConcurrentOptimizationSuggestions {
pub suggestions: Vec<String>,
}
impl ConcurrentOptimizationSuggestions {
pub fn generate(results: &[BenchmarkResult]) -> Self {
let mut suggestions = Vec::new();
for result in results {
let throughput: _ = result.operations_per_second;
match result.name.as_str() {
"lock_contention" => {
if throughput < 10000.0 {
suggestions.push(
"High lock contention detected. Consider using lock-free data structures or fine-grained locking.".to_string()
);
}
}
"async_task" => {
if throughput < 5000.0 {
suggestions.push(
"Async task performance is low. Consider optimizing async runtime or reducing context switches.".to_string()
);
}
}
"multithreaded_execution" => {
if throughput < 1000.0 {
suggestions.push(
"Multithreaded execution overhead is high. Consider work stealing or thread pool optimization.".to_string()
);
}
}
_ => {}
}
}
let avg_throughput: _ =
results.iter().map(|r| r.operations_per_second).sum::<f64>() / results.len() as f64;
if avg_throughput < 5000.0 {
suggestions.push(
"Overall concurrent performance is below target. Consider implementing more aggressive parallelization strategies.".to_string()
);
}
Self { suggestions }
}
pub fn format(&self) -> String {
if self.suggestions.is_empty() {
"No optimization suggestions. Concurrent performance is within acceptable limits."
.to_string()
} else {
format!(
"=== Concurrent Optimization Suggestions ===\n\n{}",
self.suggestions
.iter()
.enumerate()
.map(|(i, s)| format!("{}. {}", i + 1, s))
.collect::<Vec<_>>()
.join("\n")
)
}
}
}