Advanced HPC-CI Webinar Series: The TAU Performance System and E4S

The talk will highlight the advances in the TAU Performance System(R). The TAU Performance System [http://tau.uoregon.edu] is a versatile performance evaluation toolkit supporting both profiling and tracing modes of measurement. It supports performance evaluation of applications running on CPUs and GPUs and supports runtime-preloading of a Dynamic Shared Object (DSO) that allows users to measure the performance without modifying the source code or binary. It will describe how TAU may be used with MVAPICH MPI and support advanced performance introspection capabilities at the runtime layer. TAU's support for tracking the idle time spent in implicit barriers within collective operations will be demonstrated. TAU also supports event-based sampling at the function, file, and statement level. TAU's support for runtime systems such as CUDA (for NVIDIA GPUs), Level Zero (for Intel oneAPI DPC++/SYCL), ROCm (for AMD GPUs), OpenMP with support for OMPT and Target Offload directives, Kokkos, and MPI allow instrumentation at the runtime system layer while using sampling to evaluate statement-level performance data. It will describe the different instrumentation, measurement and analysis options that are available and how TAU is integrated in the Extreme-scale Scientific Software Stack (E4S). E4S is a curated, Spack based software distribution of 100+ HPC and AI/ML packages. A hands-on demo on AWS with the Extreme-scale Scientific Software Stack (E4S) [https://e4s.io] will be shown.