Raxol.Benchmark.MemoryAnalyzer (Raxol v2.0.1)

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Advanced memory pattern analysis for Raxol benchmarks.

Phase 3 Implementation: Provides deep memory analysis including:

  • Peak vs. sustained memory usage patterns
  • Garbage collection behavior analysis
  • Memory fragmentation detection
  • Memory regression analysis
  • Cross-platform memory behavior

Summary

Types

analysis_result()
memory_pattern()

Functions

analyze_memory_patterns(benchmark_results, opts \\ [])

Analyzes memory usage patterns from benchmark results.

classify_memory_pattern(memory_samples)

Detects memory usage patterns and classifies them.

generate_recommendations(analysis)

Generates memory optimization recommendations.

profile_memory_over_time(benchmark_function, opts \\ [])

Tracks memory usage over time with detailed profiling.

Types

analysis_result()

@type analysis_result() :: %{
  peak_memory: non_neg_integer(),
  sustained_memory: non_neg_integer(),
  gc_collections: non_neg_integer(),
  fragmentation_ratio: float(),
  efficiency_score: float(),
  regression_detected: boolean(),
  platform_differences: map()
}

memory_pattern()

@type memory_pattern() ::
  :linear | :exponential | :logarithmic | :constant | :irregular

Functions

analyze_memory_patterns(benchmark_results, opts \\ [])

@spec analyze_memory_patterns(
  map(),
  keyword()
) :: analysis_result()

Analyzes memory usage patterns from benchmark results.

classify_memory_pattern(memory_samples)

@spec classify_memory_pattern([non_neg_integer()]) :: memory_pattern()

Detects memory usage patterns and classifies them.

generate_recommendations(analysis)

@spec generate_recommendations(analysis_result()) :: [String.t()]

Generates memory optimization recommendations.

profile_memory_over_time(benchmark_function, opts \\ [])

@spec profile_memory_over_time(
  function(),
  keyword()
) :: map()

Tracks memory usage over time with detailed profiling.