Cure Runtime Profiler

Collects runtime execution statistics to guide compiler optimizations. Provides lightweight instrumentation and aggregation of:

• Function call counts and frequencies
• Hot path detection through call sequences
• Type usage patterns at runtime
• Memory allocation patterns
• Performance metrics

Usage

% Initialize profiling
cure_profiler:start_profiling(),

% Run your code
my_application:run(),

% Collect profile data
ProfileData = cure_profiler:get_profile_data(),

% Use for optimization
OptimizedAST = cure_type_optimizer:optimize_with_profile(AST, ProfileData),

% Stop profiling
cure_profiler:stop_profiling().

Profile Data Format

Profile data is stored as a map with the following structure:

#{
    function_calls => #{FunctionName => CallCount},
    call_sequences => [{Caller, Callee, Count}],
    type_usage => #{Type => UsageCount},
    memory_allocations => #{Function => AllocationSize},
    hot_functions => [FunctionName],
    hot_paths => [[FunctionName]],
    timestamp => Milliseconds
}