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Review the summary metrics for parts of your application executed on an accelerator.
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Review the actual performance of GPU kernels in your application against hardware-imposed performance ceilings using the
GPU Roofline chart.
For details about interpretation, see
Examine Bottlenecks on GPU Roofline Chart
.
See detailed description of GPU Roofline chart controls in
Pane: GPU Roofline Chart.
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Use the
GPU Details tab to view the detailed information about the execution of a selected kernel:
- View program metrics for a selected kernel in the
Summary pane.
- Identify the memory level your selected kernel is bounded by using the
Roofline Guidance pane.
- Explore the compute operations count and memory level utilization metrics in the
OP/S and Bandwidth pane. Use the drop-downs to view the operations count, memory traffic, and arithmetic intensity (AI) for floating-point and integer operations at different memory levels.
- View how the selected kernel impacts each memory level and explore the amount of data passed through each memory level using the
Memory Metrics pane.
- Explore the ratio of compute, memory and other instructions grouped by types in the
Instruction Mix pane.
- Get detailed overview of instruction types used during the execution of your application using the
Instruction Mix Details pane. Use the drop-downs to expand each instruction category and view the included instruction types and instruction count. For compute category,
Intel Advisor determines the data type. The dominating data type in th entire kernel is highlighted blue. Filter instructions by type and dominating data type using a filter button.
- View how th loops in a selected kernel utilize the execution unit (EU) in the
Performance Characteristics pane.
Switch between
GPU Source and
GPU Assembly tabs to:
Examine the source code and offload details for each source line. Select a loop in the
GPU table or a dot in the
GPU Roofline to focus on the corresponding parts of source and assembly code.
Review GPU assembly representation for a selected kernel. Select a code line to highlight the corresponding part in source code.
For details about interpreting
GPU Roofline Insights perspective results, see
Explore GPU Roofline Results
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Review performance metrics of your application performance on a GPU accelerator. For details about metrics, see
Accelerator Metrics
.
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