![]() It is capable of collecting performance statistics on CPUs and GPUs for applications written in various languages including SYCL, C, C++, Fortran, Python or any combination of languages and using OpenMP and MPI. Intel® VTune™ Profiler is a low-overhead and high resolution performance profiling and analysis tool which helps to find and fix performance bottlenecks quickly and realize all the value of your hardware. 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. GCC OpenMP project page (includes implementation status)Īrm Forge is a software development toolkit designed to assist Linux developers write correct, scalable and performance applications for a variety of hardware architectures, including Arm (aarch64), x86_64, and NVIDIA GPUs.GCC binary builds are provided by Linux distributions, often with offloading support provided by additional packages, and by multiple entities for other platforms – and you can build it from source. The devel/omp/gcc-12 (OG12) branch augments the GCC 12 branch with OpenMP and offloading features, including relevant backports from the GCC 13 development branch. The GCC 13 development branch adds initial OpenMP 5.2, extends 5.0/5.1 support and adds support for AMD’s Instinct MI 200 series. GCC 12 has the initial support of OpenMP 5.1 and extends the OpenMP 5.0 coverage. Since GCC 11, OpenMP 4.5 is fully supported for Fortran and OpenMP 5.0 support has been extended for C, C++ and Fortran. OpenMP 5.0 is partially supported for C and C++ since GCC 9 and extended in GCC 10. OpenMP 4.0 is fully supported for C, C++ and Fortran since GCC 4.9 OpenMP 4.5 is fully supported for C and C++ since GCC 6 and partially for Fortran since GCC 7. The free and open-source GNU Compiler Collection (GCC) supports among others Linux, Solaris, AIX, MacOSX, Windows, FreeBSD, NetBSD, OpenBSD, DragonFly BSD, HPUX, RTEMS, for architectures such as x86_64, PowerPC, ARM, and many more.Ĭode offloading to NVIDIA GPUs (nvptx) and the AMD Radeon (GCN) GPUs Fiji, Vega and Instinct (MI 100 series) is supported on Linux.
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