The library provides comprehensive performance optimization across multiple domains:
- Computation Optimization
- Memory Optimization
- Hardware Acceleration
- Distributed Computing
// Configure algorithm selection
algorithm_config_t config = {
.optimization_level = OPT_AGGRESSIVE,
.enable_profiling = true,
.enable_autotuning = true,
.target_hardware = HARDWARE_ALL,
.enable_quantum = true
};
// Initialize optimization
initialize_algorithm_optimization(&config);
// Configure autotuning
autotuning_config_t config = {
.search_strategy = SEARCH_BAYESIAN,
.max_trials = 100,
.timeout = 3600, // 1 hour
.optimization_target = TARGET_THROUGHPUT,
.enable_quantum_tuning = true
};
// Start autotuning
start_autotuning(&config);
// Configure GPU optimization
gpu_config_t config = {
.compute_capability = CUDA_COMPUTE_80,
.memory_pool_size = 8 * 1024 * 1024 * 1024ull, // 8GB
.enable_tensor_cores = true,
.enable_profiling = true,
.optimization_level = GPU_OPT_AGGRESSIVE
};
// Initialize GPU optimization
initialize_gpu_optimization(&config);
// Configure quantum acceleration
quantum_config_t config = {
.backend = QUANTUM_BACKEND_IBM,
.error_mitigation = true,
.optimization_level = QUANTUM_OPT_AGGRESSIVE,
.enable_hybrid = true
};
// Initialize quantum acceleration
initialize_quantum_acceleration(&config);
// Configure cache optimization
cache_config_t config = {
.prefetch_distance = 16,
.cache_line_size = 64,
.enable_monitoring = true,
.optimization_level = CACHE_OPT_AGGRESSIVE,
.enable_quantum_memory = true
};
// Initialize cache optimization
initialize_cache_optimization(&config);
// Configure access patterns
access_pattern_config_t config = {
.pattern_detection = true,
.optimization_level = ACCESS_OPT_AGGRESSIVE,
.enable_prefetch = true,
.monitor_patterns = true
};
// Initialize pattern optimization
initialize_access_optimization(&config);
// Configure workload distribution
distribution_config_t config = {
.strategy = DIST_DYNAMIC,
.load_balancing = true,
.communication_optimization = true,
.enable_quantum_distribution = true
};
// Initialize distribution
initialize_workload_distribution(&config);
// Configure communication
communication_config_t config = {
.protocol = COMM_OPTIMIZED,
.buffer_size = 1024 * 1024, // 1MB
.compression = true,
.enable_quantum_channels = true
};
// Initialize communication
initialize_communication_optimization(&config);
// Configure monitoring
monitoring_config_t config = {
.collect_metrics = true,
.sampling_interval = 100, // ms
.enable_profiling = true,
.enable_quantum_metrics = true
};
// Start monitoring
start_performance_monitoring(&config);
// Get performance metrics
performance_metrics_t metrics;
get_performance_metrics(&metrics);
// Compute metrics
printf("FLOPS: %.2f GFLOPS\n", metrics.compute_flops);
printf("Memory Bandwidth: %.2f GB/s\n", metrics.memory_bandwidth);
printf("Quantum Utilization: %.2f%%\n", metrics.quantum_utilization);
-
Algorithm Optimization
- Use appropriate algorithms
- Enable autotuning
- Monitor performance
- Implement fallbacks
-
Hardware Utilization
- Use available accelerators
- Optimize memory access
- Balance workloads
- Monitor utilization
-
Memory Management
- Use cache optimization
- Implement prefetching
- Optimize access patterns
- Monitor memory usage
-
Distributed Computing
- Balance workloads
- Optimize communication
- Handle failures
- Monitor distribution
// Configure hybrid optimization
hybrid_config_t config = {
.quantum_ratio = 0.3, // 30% quantum
.classical_ratio = 0.7, // 70% classical
.optimization_level = HYBRID_OPT_AGGRESSIVE,
.enable_adaptive = true
};
// Initialize hybrid system
initialize_hybrid_optimization(&config);
// Configure dynamic optimization
dynamic_config_t config = {
.adaptation_rate = 0.1,
.learning_rate = 0.01,
.enable_reinforcement = true,
.optimization_target = TARGET_EFFICIENCY
};
// Start dynamic optimization
start_dynamic_optimization(&config);
// Configure bottleneck detection
bottleneck_config_t config = {
.detection_interval = 1000, // ms
.sensitivity = 0.8,
.enable_mitigation = true,
.monitor_quantum = true
};
// Start detection
start_bottleneck_detection(&config);
// Configure prediction
prediction_config_t config = {
.model_type = PRED_NEURAL_NETWORK,
.horizon = 3600, // 1 hour
.confidence_level = 0.95,
.enable_quantum_prediction = true
};
// Start prediction
start_performance_prediction(&config);
// Configure optimization system
optimization_system_config_t config = {
.enable_all_optimizations = true,
.monitoring_level = MONITOR_DETAILED,
.adaptation_mode = ADAPT_CONTINUOUS,
.enable_quantum_integration = true
};
// Initialize optimization system
initialize_optimization_system(&config);
// Cleanup optimization system
void cleanup_optimization_system() {
// Stop monitoring
stop_performance_monitoring();
// Clean optimizations
cleanup_algorithm_optimization();
cleanup_hardware_optimization();
cleanup_memory_optimization();
cleanup_distribution_optimization();
// Free resources
cleanup_optimization_resources();
}
// Handle optimization errors
void handle_optimization_error(optimization_error_t error) {
switch (error) {
case OPT_ERROR_PERFORMANCE:
adjust_optimization_parameters();
retry_optimization();
break;
case OPT_ERROR_RESOURCE:
free_unused_resources();
rebalance_workload();
break;
case OPT_ERROR_QUANTUM:
switch_to_classical_mode();
break;
default:
log_optimization_error(error);
abort_optimization();
}
}
// Configure optimization recovery
recovery_config_t config = {
.max_retries = 3,
.retry_delay = 1000, // ms
.enable_logging = true,
.fallback_strategy = FALLBACK_CLASSICAL
};
// Initialize recovery
initialize_optimization_recovery(&config);