The Intel® Trace Analyzer and Collector for Linux* and Windows* is a low-overhead scalable event-tracing library with graphical analysis that reduces the time it takes an application developer to enable maximum performance of cluster applications. This package is for users who developer on and build for Intel® 64 architectures on Linux* and Windows*, as well as customers running on Intel® Xeon Phi™. The package also includes an option download on OS X* for analysis only. You must have a valid license to download, install, and use this product.
Use Intel® VTune™ Amplifier XE to understand why the computation time of the 2/64 combination is worse than the 32/4 combination even though the elapsed time is much less. A lower elapsed time for 32/4 is not possible due to the overhead of MPI deployments. As a result, it is better to focus on improving the computation time for the 2/64 combination instead.
To analyze the application performance with VTune Amplifier:
After updating the vector instruction set, collect performance data again with Intel VTune Amplifier to find additional optimization opportunities.
You have completed the Analyzing OpenMP* and MPI Applications tutorial with MPI Performance Snapshot, Intel® Trace Analyzer and Collector, and Intel® VTune™ Amplifier XE. Here are some important things to remember when working with your own hybrid application:
Baseline: A performance metric used as a basis for comparison of the application versions before and after optimization. Baseline should be measurable and reproducible.
Computation Time: The time your application ran without any additional overhead (initialization time, finalization time, etc.). Computation time is included in Elapsed Time.
Before you start analyzing the performance of the target application, do the following:
This tutorial uses the sample heart_demo and guides you through basic steps required to analyze hybrid OpenMP* and MPI code for inefficiencies using MPI Performance Snapshot, Intel® Trace Analyzer and Collector, and Intel® VTune™ Amplifier XE.
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Use Intel® Parallel Studio XE Cluster Edition to understand the cause of ineffective code in a hybrid application by performing a series of steps in a workflow. This tutorial guides you through these workflow steps while using a sample OpenMP* and MPI application, heart_demo, which simulates electrophysiological heart activity.
The first step in analyzing a hybrid MPI/OpenMP* application is getting an overview of the application performance. There is a tool called MPI Performance Snapshot (MPS) that can provide the general performance information about your application. This includes MPI and OpenMP time and load balance information, information about memory and disk usage, most utilized MPI operations, and more.