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# Features
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```eval_rst
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.. toctree::
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:glob:
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:maxdepth: 4
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```
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## Overview
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[Omnitrace](https://github.com/AMDResearch/omnitrace) is designed to be highly extensible. Internally, it leverages the
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[timemory performance analysis toolkit](https://github.com/NERSC/timemory) to
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manage extensions, resources, data, etc.
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### Data Collection Modes
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- Dynamic instrumentation
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- Runtime instrumentation
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- Instrument executable and shared libraries at runtime
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- Binary rewriting
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- Generate a new executable and/or library with instrumentation built-in
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- Statistical sampling
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- Periodic software interrupts per-thread
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- Process-level sampling
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- Background thread records process-, system- and device-level metrics while the application executes
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- Critical trace generation
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### Data Analysis
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2022-07-21 12:56:10 -05:00
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- High-level summary profiles with mean/min/max/stddev statistics
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- Low overhead, memory efficient
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- Ideal for running at scale
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- Comprehensive traces
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- Every individual event/measurement
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- Critical trace analysis (alpha)
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### Parallelism API Support
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- HIP
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- HSA
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- Pthreads
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- MPI
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- Kokkos-Tools (KokkosP)
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- OpenMP-Tools (OMPT)
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### GPU Metrics
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- GPU hardware counters
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- HIP API tracing
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- HIP kernel tracing
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- HSA API tracing
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- HSA operation tracing
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- System-level sampling (via rocm-smi)
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- Memory usage
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- Power usage
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- Temperature
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- Utilization
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### CPU Metrics
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- CPU hardware counters sampling and profiles
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- CPU frequency sampling
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- Various timing metrics
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- Wall time
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- CPU time (process and/or thread)
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- CPU utilization (process and/or thread)
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- User CPU time
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- Kernel CPU time
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- Various memory metrics
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- High-water mark (sampling and profiles)
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- Memory page allocation
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- Virtual memory usage
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- Network statistics
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- I/O metrics
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- ... many more
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### Third-party API support
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- TAU
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- LIKWID
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- Caliper
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- CrayPAT
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- VTune
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- NVTX
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- ROCTX
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