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Tools to Port and Optimize

Arm® Allinea Studio provides the various tools to help port and optimize applications for Arm.

Arm Compiler

A commercially-supported, Linux user space, C/C++ and Fortran compiler, tuned for scientific computing, HPC, and enterprise workloads:

  • Processor-specific optimizations for various server-class Arm-based platforms.

  • Optimal shared-memory parallelism using latest Arm-optimized OpenMP run-time.

  • Optimized scalar and vector maths functions.

  • C++ 17 and Fortran 2003 language support with OpenMP 4.5.

  • Support for Armv8-A and SVE architecture extension.

  • Based on LLVM and Flang, leading open-source compiler projects.

  • Runs on leading Linux distributions: Red Hat, SUSE, and Ubuntu.

Resources

Arm Performance Libraries

Commercially-supported, 64-bit Armv8-A core math libraries, optimized for HPC applications on Arm-based platforms, providing best-in-class serial and parallel performance:

  • Commonly used low-level math routines: BLAS, LAPACK, and FFT.

  • Provides FFTW-compatible interface for FFT routines.

  • Batched BLAS support.

  • Generic Armv8-A optimizations by Arm.

  • Tuning for specific platforms in collaboration with silicon vendors.

  • Validated with NAG's industry standard test suite.

  • Available for Arm Compiler or GCC.

Resources

Arm Forge Professional

A cross-platform toolkit to debug (Arm DDT) and profile (Arm MAP) high-performance parallel applications:

  • Available on most of the Top500 machines in the world.

  • Fully supported by Arm on x86, IBM Power, Nvidia GPUs.

  • Powerful and in-depth error detection mechanisms (including memory debugging).

  • Sampling-based profiler to identify and understand bottlenecks.

  • Available at any scale (from the desktop to leadership-class HPC).

  • Unique capabilities to simplify remote interactive sessions.

  • Innovative approach to present essential information.

Resources

Arm Performance Reports

Characterize and understand the performance of HPC application runs:

  • Analyze metrics around CPU, memory, I/O, and hardware counters.

  • You can add your own custom metrics.

  • Analyze data and report the information that matters to you.

  • Provides simple guidance on how to improve workload efficiency.

  • Define application behavior and performance expectations.

  • Integrate outputs to various systems for validation (for example, continuous integration).

  • Can be automated completely (no user intervention).

Resources

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