rocm-systems/source/docs/features.md

Features

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Overview

OmniTrace is designed to be highly extensible. Internally, it leverages the timemory performance analysis toolkit to manage extensions, resources, data, etc.

Data Collection Modes

• Dynamic instrumentation
  • Runtime instrumentation
    • Instrument executable and shared libraries at runtime
  • Binary rewriting
    • Generate a new executable and/or library with instrumentation built-in
• Statistical sampling
  • Periodic software interrupts per-thread
• Process-level sampling
  • Background thread records process-, system- and device-level metrics while the application executes
• Causal profiling
  • Quantifies the potential impact of optimizations in parallel codes
• Critical trace generation

Data Analysis

• High-level summary profiles with mean/min/max/stddev statistics
  • Low overhead, memory efficient
  • Ideal for running at scale
• Comprehensive traces
  • Every individual event/measurement
• Application speedup predictions resulting from potential optimizations in functions and lines of code (causal profiling)
• Critical trace analysis (alpha)

Parallelism API Support

• HIP
• HSA
• Pthreads
• MPI
• Kokkos-Tools (KokkosP)
• OpenMP-Tools (OMPT)

GPU Metrics

• GPU hardware counters
• HIP API tracing
• HIP kernel tracing
• HSA API tracing
• HSA operation tracing
• System-level sampling (via rocm-smi)
  • Memory usage
  • Power usage
  • Temperature
  • Utilization

CPU Metrics

• CPU hardware counters sampling and profiles
• CPU frequency sampling
• Various timing metrics
  • Wall time
  • CPU time (process and/or thread)
  • CPU utilization (process and/or thread)
  • User CPU time
  • Kernel CPU time
• Various memory metrics
  • High-water mark (sampling and profiles)
  • Memory page allocation
  • Virtual memory usage
• Network statistics
• I/O metrics
• ... many more

Third-party API support

• TAU
• LIKWID
• Caliper
• CrayPAT
• VTune
• NVTX
• ROCTX