Memory Access analysis type uses event-based sampling collection and is targeted for Intel® Core™ 2 processor family.
Memory Access analysis type collects events that enable you to distinguish memory access issues and their performance impact from accessing too many memory pages, having L1 data cache and L2 cache load driven misses. Precise memory events used in this analysis type help identify problems with data access pattern and with specific instructions.
To see the full list of events used for this analysis type:
Click the
![]()
New Analysis toolbar button.The Analysis Type window opens.
From the left pane, select Intel Core 2 Processor Analysis > Memory Access.
The Memory Access configuration pane opens on the right. The Details section provides a table with the processor events used for this analysis type.
New Analysis toolbar button.You can choose to view Memory Access analysis results in any of the following viewpoints:
Viewpoint | Description |
|---|---|
Hardware Event Counts | Displays the event count for all collected processor events. While the Hardware Event Sample Counts viewpoint provides the actual number of samples collected for an event, Hardware Event Count viewpoint estimates the number of times this event occurred during the collection. |
Hardware Event Sample Counts | Displays the sample count for all collected processor events. While the Hardware Event Counts viewpoint estimates the number of times an event occurred during the collection, the Hardware Event Sample Counts viewpoint provides the actual number of samples collected for this event. |
Hardware Issues | Helps identify where the application is not making the best use of available hardware resources. This viewpoint displays metrics derived from hardware performance counters. Hover over the highlighted metrics values in the grid to read why the extreme value might represent a performance problem. |
Hotspots | Helps identify hotspots - code regions in the application that consume a lot of CPU time. |
Task Time | Visualizes tasks, logical units of work on specific threads, based on ITT API annotations. Identify tasks with the highest execution time and analyze threads responsible for a particular task. |
These viewpoints may include the following windows:
Summary window displays statistics on the overall application execution.
Bottom-up pane displays performance data per metric (event ratio/event count/sample count) for each hotspot function.
Top-down Tree window displays hotspot functions in the call tree, performance metrics for a function only (Self value) and for a function and its children together (Total value).
PMU Events window displays count for PMU events selected for the analysis.
Uncore Events window displays count for uncore events selected for the analysis. If there are no uncore events, the upper pane of the window is empty.
Tasks, Tasks over Time, and Tasks by Threads windows provide details on tasks specified in your code with the Task API.
See Also
Supplemental documentation specific to a particular Intel Studio may be available at <install-dir>\<studio>\documentation\ .