What You Will Learn

[NEW] Use
Intel Advisor
Command Line Interface to Analyze a GPU Application
Learn how to evaluate performance of an application running on graphics processing unit (GPU), pinpoint and prioritize bottlenecks, and define room for optimization using
GPU Roofline Insights
perspective from command line interface.
[NEW] Use
Intel Advisor
Command Line Interface to Model GPU Performance
.
Learn how to check profitability of porting a native C++ application to a target GPU from command line using a single command to run the
Offload Modeling
perspective.
[NEW] Model GPU Application Performance for a Different GPU Device
.
Learn how to check profitability of porting a DPC++ application running on a baseline GPU to a different GPU from command line with the
Offload Modeling
perspective.
Estimate the C++ Application Speedup on a Target GPU
.
Learn how to analyze a native C++ application and estimate the profitability of porting the code to
Data Parallel C++ (
DPC++
)
with the
Offload Modeling
feature of the
Intel Advisor
.
Identify Code Regions to Offload to GPU and Visualize GPU Usage
.
Learn how to identify loops and functions to offload to a GPU and find bottlenecks after offloading to the GPU using
Offload Modeling
and
GPU Roofline Insights
features.
Identify Bottlenecks Iteratively: Cache-Aware Roofline
.
Learn how to take advantage of Roofline Analysis to identify and address performance bottlenecks.
Optimize Vectorization Aspects of a Real-Time 3D Cardiac Electrophysiology Simulation
.
Learn how to improve performance of your application by optimizing its vectorization aspects and efficiency following step-by-step recommendations suggested by
Intel Advisor
.
Optimize Memory Access Patterns using Loop Interchange and Cache Blocking Techniques
.
Learn how to identify memory bottlenecks and improve performance by optimizing memory access patterns.
Visualize Performance Improvements with Roofline Compare
.
Learn how to compare optimization strategies by visualizing multiple analysis results on the same chart.
Analyze Vectorization and Memory Aspects of an MPI Application
.
Learn how to identify vectorization issues and memory bottlenecks of an MPI application.
Analyze Performance Remotely and Visualize Results on a Local macOS* System
.
Learn how to analyze your application performance on a remote system using the Intel Advisor command line interface (CLI) and visualize the results on a local system like macOS using the Intel Advisor GUI.
Analyze Performance in Amazon Web Services* (AWS*) EC2* Instances
.
Learn how to set up
Intel Advisor
to analyze performance data from applications in AWS EC2 instances.
Analyze Performance on Cray* Systems
.
Learn how to set up and use
Intel Advisor
to interpret performance data for applications running on Cray systems.