Difference between revisions of "GPU621/VTuners"

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(Vtune Profiler Features)
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• CPU, GPU, and FGPA
 
• 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  
+
• Any combination of the following languages: SYCL, C, C++, C+, Fortran, OpenCL, Python, Google Go, Java, .NET, Assembly
• Collection of coarse-grained data over extended periods with details results including mapping to source code
+
 
 +
• 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 ==
 
== Algorithm Optimization ==

Revision as of 12:50, 27 November 2022

Intel Vtune Profiler

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

Microarchitecture and Memory Bottlenecks

Accelerators and XPUs

Parallelism

Platform and I/O

Multi-Node

Vtune Profiler Examples