Intel® Trace Analyzer and Collector

MPI Profiling for Cluster Applications

Understand MPI Application Behavior across Its Full Runtime

The Intel® Trace Analyzer and Collector profiles and analyzes MPI applications to help focus your optimization efforts.

  • Find temporal dependencies and bottlenecks in your code.
  • Check the correctness of your application.
  • Locate potential programming errors, buffer overlaps, and deadlocks.
  • Visualize and understand parallel application behavior.
  • Evaluate profiling statistics and load balancing.
  • Analyze performance of subroutines or code blocks.
  • Learn about communication patterns, parameters, and performance data.
  • Identify communication hot spots.
  • Decrease time to solution and increase application efficiency.
Download as Part of the Toolkit

Intel Trace Analyzer and Collector is included in the Intel® oneAPI HPC Toolkit. Get the toolkit to analyze, optimize, and deliver applications that scale.

Download the Stand-Alone Version

A stand-alone download of Intel Trace Analyzer and Collector is available. You can download binaries from Intel or choose your preferred repository.

      

Develop in the Cloud

Build and optimize oneAPI multiarchitecture applications using the latest optimized Intel® oneAPI and AI tools, and test your workloads across Intel® CPUs and GPUs. No hardware installations, software downloads, or configuration necessary. Free for 120 days with extensions possible.

What Customers are Saying

"Intel Trace Analyzer and Collector for Linux helped to drastically improve the performance of RIKEN's molecular dynamics cluster software. We were able to shorten MPI communication time by half by finding and removing bottlenecks with nonblocking communication patterns. Since Intel Trace Analyzer and Collector can embed instrumentation into the program, we can tell the execution time of each function and its load balance, which enabled us to very easily understand where to optimize. Intel® MPI Library and Intel® Cluster Tools provide us the best cluster development environment."

—Dr. Takhiro Koishi, RIKEN

"Our FEKO* electromagnetics code runs on various parallel environments (for example, clusters of different sizes, shared memory machines) and utilizes complex numerical algorithms that are nontrivial to parallelize. Intel Trace Analyzer and Collector has proven to be a very valuable tool to help understand FEKO parallel communication patterns, and consequently in optimizing the message-passing call that results in an extremely well-performing electromagnetics ISV cluster application."

—Dr. Ing Ulrich Jakobus, technical director, EM Software & Systems

 

Novosibirsk State University boosts its simulation tool’s performance by three times with Intel® Parallel Studio, Intel® Advisor, and Intel Trace Analyzer and Collector.

Case Study

Stay in the Know with All Things CODE

Sign up to receive the latest trends, tutorials, tools, training, and more to
help you write better code optimized for CPUs, GPUs, FPGAs, and other
accelerators—stand-alone or in any combination.