What You Will Learn

[NEW] Model C++ Application Performance 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.