LZMA Compression Module

Overview

The LZMA Compression module implements high-intensity compression and decompression algorithms designed to maximize CPU utilization through computationally expensive operations. This module combines LZMA2 (maximum compression) with DEFLATE algorithms to create sustained computational load across all CPU cores.

Algorithms

LZMA2 Engine (Level 9)

Maximum compression ratio LZMA implementation using dictionary-based compression with range coding. Features multi-pass analysis, longest match finding, and intensive entropy encoding operations.

 // Maximum compression settings lzma_ret ret = lzma_easy_encoder(&strm, 9, LZMA_CHECK_CRC64);
ret = lzma_code(&strm, LZMA_FINISH);
// Verify integrity with full decompression 

DEFLATE Hybrid Engine

High-performance DEFLATE compression with maximum compression level. Combines LZ77 sliding window compression with Huffman coding for optimal CPU utilization through complex bit manipulation operations.

 // Best compression with verification int ret = compress2(compressed.data(), &size,
          input.data(), input.size(), Z_BEST_COMPRESSION);
// Full round-trip verification 

Hardware Stress Targets

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Compression Pipelines

Intensive dictionary searching, hash table operations, and entropy encoding saturate CPU execution units with complex computational patterns.

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Memory Subsystem

Large sliding windows and dictionary operations create intensive memory access patterns, stressing cache hierarchies and memory bandwidth.

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Bit Manipulation Units

Range coding, Huffman encoding, and CRC verification operations heavily utilize bit manipulation and shift operations across all cores.

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Branch Prediction

Complex compression heuristics and dynamic algorithm switching create unpredictable branching patterns that challenge prediction units.

Performance Characteristics

Computational Intensity

512KB Default Chunk Size

Level 9 Max Compression

2x Verify Cycles

100% CPU Utilization

Technical Implementation

Optimization Features:

Multi-threaded compression with per-core worker threads
Dynamic data generation with variable entropy patterns
Algorithm rotation (LZMA/DEFLATE) for maximum CPU variety
Full round-trip verification to prevent optimization elimination
Periodic large chunk processing for sustained high load
Atomic operation counters for thread-safe statistics

Stress Amplification Techniques:

Maximum compression levels for both algorithms
CRC64 verification for LZMA operations
Mixed entropy data to prevent trivial compression
Memory-intensive sliding window operations
Continuous operation with progress monitoring

⚠️ Performance Impact

This module will consume 100% CPU resources across all cores with intensive memory access patterns. Extended execution will generate significant heat and may trigger thermal throttling. Monitor system temperatures and ensure adequate cooling during stress tests.

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