GPU621/VTuners

Group Members

1. Mitchell Gregoris
2. Roger Wu
3. Nathaniel Ko

Vtune Profiler Features

The Vtune Profiler has a variety of features that provide information to assist in the optimization of application performance, system performance. The profiler also assists in system configuration for HPC, Cloud, IoT, media, storage, etc.

The profiler provides compatibility for a variety of systems and platforms that include the following:

    CPU, GPU, and FGPA

    Any combination of the following languages: SYCL, C, C++, C+, Fortran, OpenCL, Python, Google Go, Java, .NET, Assembly

    Optimized performance that avoids power or thermal throttling 

    Collection of coarse-grained data over extended periods with details results including mapping to source code

Algorithm Optimization

Flame Graph: This is an example of a flame graph selecting the “hottest” processes run in an application which represent 93.3% of the total CPU usage time

Vtune Summary: Here we can see the summary of the output of the Vtune Profiler which shows some general information about the run time and thread usage

Analyzing Hot Code Paths

Flame Graphs

The Intel Vtune Profiler provides flame graphs to display a representation of stacks and stack frames in an application. All functions in an application are plotted on a graph and the associated stack depth is represented as height on the y-axis and the width of the bar represents the amount of CPU usage time. The “hottest” functions in an application are then the widest parts on the flame graph.

Analyzing Hot Spots

Hotspot Analysis

The Hotspot analysis feature in the Intel Vtune Profiler allows you to dig deeper into your application and identify pieces of code which are taking a long time to execute. These hot spots can be used to identify problem areas in your application and help improve performance.

Microarchitecture and Memory Bottlenecks

Accelerators and XPUs

Parallelism

Platform and I/O

Multi-Node