LLNL Caliper Versions Save

Caliper v2.11.0 brings bug fixes, optimizations, and new features, including

• Support for annotation levels and new CALI_MARK_PHASE_BEGIN/CALI_MARK_PHASE_END macros to mark high-level regions
• LDMS service to forward region timing information to the Lightweight Distributed Metrics Service (LDMS, https://github.com/ovis-hpc/ovis)
• Build system and CMake package/target improvements
• More performance optimizations, including much faster .cali reader for cali-query

Caliper v2.10.0 brings optimizations and improvements, including

• Many performance optimizations
• Updated GOTCHA library
• Increased timer resolution
• Retain node visit order in output
• Improved handling of C++ standard requirements in the build system

This minor release fixes an issue when building the umpire service.

Caliper v2.9.0 brings improvements and new features, including

• Much improved sample profiling support
• New sample-report config recipe
• Options for filtering regions by name
• Improved event tracing support
• cali2traceevent.py converter script for creating Google TraceEvent files
• Region forwarding to CrayPat
• Various internal improvements

Caliper v2.8.0 brings improvements and new functionality, including

• AMD ROCm/HIP activity profiling and tracing with the roctracer service and the rocm-activity-profile and rocm-activity-report ConfigManager configs
• Collecting statistics for the Umpire memory manager with the umpire.allocators and umpire.totals ConfigManager options
• New cuda.gputime and rocm.gputime ConfigManager options to include GPU time metrics in most profiling configs
• MPI message size and count metrics with the mpi.message.size and mpi.message.count ConfigManager options
• Various internal optimizations and build system improvements

Caliper 2.7.0 brings various improvements, including

• MPI is no longer required to build the spot and loop-report configs
• Report configs can print program metadata
• A new MpiChannelManager API for running measurements on specific MPI communicators
• Native Windows support (thanks @ibaned)
• Initial support for variorum

Caliper 2.6.0 brings improvements and new features, including

• New cuda-activity-profile and cuda-activity-report config recipes for profiling CUDA device activities
• Support for OpenMP profiling with the OpenMP tools interface (ompt), including OpenMP metrics and the openmp-report recipe
• New API for streaming Caliper output into a user-provided C++ stream
• rocTX support for exporting Caliper regions to AMD rocprofiler
• The region.count metric for counting the number of region calls
• Load custom recipes from JSON files in ConfigManager
• Improvements to table and tree formatters
• Improved detection of Python and CUDA toolkit components in the build system

Caliper 2.5.0 brings improvements and new features, including

• Ability to run ConfigManager configs without the ConfigManager API via the CALI_CONFIG environment variable
• Many improvements to sampling and symbol lookup / call-stack unwinding features
• A new callpath-sample-report config
• Support for unified memory event tracing on NVidia GPUs
• Loop profiling for the Spot config
• A Python reader library for .cali files
• Updated documentation

There are some changes to the build and runtime configuration compared to previous versions:

• We now use libdw for symbol lookup. Use the WITH_LIBDW cmake option to enable symbol lookup. The dyninst dependency was dropped.
• The WITH_CALLPATH cmake option was renamed to WITH_LIBUNWIND
• The WITH_NVPROF cmake option was renamed to WITH_NVTX
• The nvprof service was renamed to nvtx

Caliper 2.4.0 brings improvements and new features, including

• New loop-report and mpi-report ConfigManager configs
• New Fortran wrappers for the annotation API
• Fortran and C wrappers for the ConfigManager API
• Low-frequency performance measurement modes ("monitor modes")
• Easier and more robust linking and initialization

Caliper 2.3.0 brings improvements and new features, including

• All-around improved robustness
• New PAPI service
• Kokkos profiling support
• Inclusive time and percentage calculation for the runtime-report config
• Top-down analysis for Intel Skylake CPUs (experimental)