Analyze per-function timing and energy from LOCI hardware traces.
npx skills add https://github.com/auroralabs-loci/loci-claude --skill exec-trace
Please help me install this Agent Skill. Skill: exec-trace Source: https://github.com/auroralabs-loci/loci-claude/tree/main/skills/exec-trace Command: npx skills add https://github.com/auroralabs-loci/loci-claude --skill exec-trace
Analyzes per-function execution timing and energy from compiled assembly using LOCI hardware traces, enabling precise performance and power debugging.
Run the exec-trace skill to obtain timing and energy estimates for a specific function from a compiled binary.
High-intent search queries and answers about installing and using this skill.
You can measure execution timing and energy consumption by analyzing compiled assembly from compiled binaries or ELF objects using LOCI hardware traces, which returns microsecond timing, watt-seconds energy, and annotated CFG data.
Yes, identifying energy hotspots and timing bottlenecks in firmware is achieved by applying hardware traces to compiled assembly, mapping execution time and energy data to control flow graph blocks to highlight critical hot paths.
To analyze per-function execution time from an ELF object, you need to provide the compiled binary or existing ELF object and specify the target function or set of callees to receive microsecond timing and annotated CFG context.
Mapping timing to control flow graph blocks helps optimize performance by pinpointing exact assembly-level execution paths and energy hotspots, allowing precise targeting of timing bottlenecks within the analyzed function's structure.
Yes, assembly-level timing analysis provides architecture and error-handling guidance alongside microsecond timing and energy estimates, ensuring proper interpretation of the hardware trace data and annotated CFG results.
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