Difference between revisions of "GPU621/Intel Advisor Assistant"

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= Project Name =
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= Intel Advisor =
  
 
== Group Members ==
 
== Group Members ==
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== Introduction to Intel Advisor ==
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Intel advisor is a tool used by developers writing code in Fortran, C, C++, Data Parallel C++ (DPC++), OpenMP, and Python. It will analyze your code written in these languages and help you figure out where you can optimize, and make your application run faster.
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It is a part of the Intel OneAPI Base Toolkit that we used in our course – GPU621.
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This tool will take your code and help with its performance, it does this through analyzing your code through following key points:
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• Vectorization and Code Insights
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• CPU/ Memory Roofline Insights and GPU Roofline Insights
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• Offload Modeling
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• GPU Roofline Insights
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• Threading
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Intel Advisor will not write your code, but it will help with optimization. It allows you to:
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• Model your application performance on an accelerator
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• Visualize performance bottlenecks on a CPU or GPU using a Roofline chart
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• Check vectorization efficiency
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• Prototype threading designs
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== Progress ==
 
== Progress ==

Revision as of 16:14, 8 December 2021

Intel Advisor

Group Members

Introduction to Intel Advisor

Intel advisor is a tool used by developers writing code in Fortran, C, C++, Data Parallel C++ (DPC++), OpenMP, and Python. It will analyze your code written in these languages and help you figure out where you can optimize, and make your application run faster.

It is a part of the Intel OneAPI Base Toolkit that we used in our course – GPU621.

This tool will take your code and help with its performance, it does this through analyzing your code through following key points: • Vectorization and Code Insights • CPU/ Memory Roofline Insights and GPU Roofline Insights • Offload Modeling • GPU Roofline Insights • Threading

Intel Advisor will not write your code, but it will help with optimization. It allows you to: • Model your application performance on an accelerator • Visualize performance bottlenecks on a CPU or GPU using a Roofline chart • Check vectorization efficiency • Prototype threading designs


Progress