Difference between revisions of "DPS921/Intel Advisor"
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Every function, or loop, will have specific AI, when ran we can record its GFLOPs Because we know Its AI won't change and any optimization we do will only change the performance, this is useful when we want to measure the performance of a given change or optimization. | Every function, or loop, will have specific AI, when ran we can record its GFLOPs Because we know Its AI won't change and any optimization we do will only change the performance, this is useful when we want to measure the performance of a given change or optimization. | ||
| − | == Intel | + | == Intel Memory Access Pattern Analysis == |
| − | + | We can use the MAP analysis tool to check for various memory issues, such as non-contiguous memory accesses and unit strides. | |
== Intel Dependencies Analysis == | == Intel Dependencies Analysis == | ||
Revision as of 17:37, 30 November 2020
Contents
Intel Advisor
Intel Advisor is a set of tools used to measure the performance of an application.
Group Members
Intel Survey Analysis
A Survey analysis will create a Survey Report that outlines instances:
• Where vectorization or parallelization will be most effective
• Describe if vectorized loops are beneficial or not
• Un-vectorized loops and explain why they have been Un-vectorized
• Provide general performance issue
Intel Roof-line Analysis
The roofline tool creates a tool line model, to represent an application's performance in relation to hardware limitations, including memory bandwidth and computational peaks. To measure performance we use 2 axes with GFLOPs (Giga Flops/sec) on the y-axis, and AI(Arithmetic Intensity(FLOPs/Byte)) on the x-axis both in log scale, with this we can begin to build our roof-line. Now for any given machine, its CPU can only perform so many FLOPs so we can plot the CPU cap on our chart to represent this. Like the CPU a memory system can only supply so many gigabytes, we can represent this by a diagonal line(N GB/s * X FLOPs/Byte = Y GFLOPs/s). (pic) This chart represents the machine's hardware limitation, and it's best performance at a given AI
Every function, or loop, will have specific AI, when ran we can record its GFLOPs Because we know Its AI won't change and any optimization we do will only change the performance, this is useful when we want to measure the performance of a given change or optimization.
Intel Memory Access Pattern Analysis
We can use the MAP analysis tool to check for various memory issues, such as non-contiguous memory accesses and unit strides.
Intel Dependencies Analysis
The compiler will be unable to vectorize loops if there are potential data dependencies. The dependencies analysis will create a dependencies report that shows where possible data dependencies exist. The report will also have details about the type of dependency and how to solve the dependency.
Sources
https://www.youtube.com/watch?v=h2QEM1HpFgg - Roofline Analysis in Intel Advisor tutorial
https://software.intel.com/content/www/us/en/develop/articles/intel-advisor-roofline.html - Intel Advisor tutorial:roofline
