Measure sub-microsecond latencies using calibrated TSC and wait-free histograms.
npx skills add https://github.com/maschad/my-claude --skill latency-measurement
Please help me install this Agent Skill. Skill: latency-measurement Source: https://github.com/maschad/my-claude/tree/main/skills/latency-measurement Command: npx skills add https://github.com/maschad/my-claude --skill latency-measurement
Measure sub-microsecond latencies using architecture-specific timestamp counters (TSC) and wait-free histograms, enabling precise timing in real-time and latency-critical systems.
Initialize TSC calibration at startup, then record latencies with the histogram in hot paths.
High-intent search queries and answers about installing and using this skill.
Measure sub-microsecond latency by reading architecture-specific timestamp counters (TSC) and recording values into wait-free logarithmic histograms. This approach provides precise timing with minimal overhead for latency-sensitive systems.
TSC calibration converts raw timestamp counter ticks into nanoseconds at startup. It ensures accurate latency measurement by synchronizing the architecture-specific rdtsc readings with real-time values for precise percentile reporting.
Yes, you can calculate P50, P95, and P99 percentiles using wait-free logarithmic histogram buckets. This method enables concurrent measurements with low contention and minimal allocations in real-time workloads.
Yes, the latency measurement supports both ARM64 and x86_64 architectures through architecture-specific TSC reading. It applies rdtsc instructions tailored to each platform to maintain low overhead during concurrent benchmarks.
Record latency in hot paths using wait-free logarithmic histograms after initializing TSC calibration at startup. This provides low-contention concurrent measurements and outputs a concise summary of percentile distributions.
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