![]() A new tracing mode that summarizes information at the level of long parallel regions, as well as improved support for OpenMP nested parallelism is currently being developed. With respect to OpenMP, it recognizes the main runtime calls for Intel, LLVM and GNU compilers, and also supports the latest standard of the OMPT interface, allowing instrumentation at loading time with the production binary. It is available for most UNIX-based operating systems and has been deployed in all relevant HPC architectures and platforms, including x86-64, ARM, ARM64, POWER, RISC-V, SPARC64, BlueGene, Cray and NVIDIA GPUs. In addition to the activity of the parallel runtime, Extrae is able to capture I/O activity, memory operations, hardware counter metrics, including uncore and network counters, as well as references to the source code. It supports the instrumentation of MPI, OpenMP, OmpSs, pthreads, CUDA/CUPTI, OpenACC, OpenCL and GASPI programming models, with programs written in C, C++, Fortran, Java and Python, as well as combinations of different languages, hybrid and modular codes. Analyze with Performance ReportsĮxtrae is an instrumentation package that collects performance data and saves it in Paraver trace format. The tool processes data from a wide range of sources (including CPU, memory, IO or even energy sensors) and provides actionable feedback to help end-users improve the efficiency of their applications. Profile with Arm MAPĪrm Performance Reports is a lightweight performance analysis tool that generates easy to read reports on an application. Syntax-highlighted source code with performance annotations, enable you to drill down to the performance of a single line, and has a rich set of zero-configuration metrics, showing memory usage, floating-point calculations and MPI usage across processes. It supports both interactive and batch modes for gathering profile data, and supports MPI, OpenMP and single-threaded programs. ![]() Debug with Arm DDTĪrm MAP is a parallel profiler that shows you which lines of code took the most time and why. It provides a complete solution for finding and fixing problems whether on a single thread or thousands of threads. It includes static analysis that highlights potential problems in the source code, integrated memory debugging that can catch reads and writes outside of array bounds, integration with MPI message queues and much more. Forge includes three components: DDT, MAP and Performance Reports and can be used for serial or parallel applications relying on MPI and/or OpenMP.Īrm DDT is a powerful, easy-to-use graphical debugger. Beta support is now available for AMD GPU.
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