memory-layout-optimization

What problem does it solve?

This Skill addresses the challenge of optimizing memory layout to achieve deterministic performance targets and reduce end-to-end latency in quantitative research and production systems.

Core Features & Use Cases

• Performance Tuning: Optimize kernel, memory, and network paths for tail-latency reduction.
• Stress Testing: Simulate packet bursts, failovers, and capacity saturation to ensure robustness.
• Diagnostic Analysis: Provides detailed latency decomposition, jitter, throughput stability, and resource saturation signals.
• Use Case: When deploying a new trading algorithm, use this Skill to verify its latency and recovery behavior under simulated high-load conditions before going live.

Quick Start

Run the memory layout optimization diagnostics script with the input file 'input.csv' and save the output to 'diagnostics.json'.