Method And System For Self-Optimizing Path-Based Object Allocation Tracking

Patent №

US 10,691,575

Granted

2020-06-23

Filed 2018

Owner

DYNATRACE LLC

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16149649

A system and method for the efficient monitoring of memory allocations performed during the executing code is presented. The proposed approach analyzes the code to build a control flow graph that describes all possible execution sequences of the code. Individual execution paths are identified by an analysis of the control path and memory allocation counters representing the memory allocations of each execution path are placed in the code. The memory allocation counters provide next to data describing memory allocations also execution frequency data of execution paths. The execution frequency data is used to identify the path with the highest execution frequency. The position of the memory allocation counters is further adapted with the optimization goal that the path with the highest execution frequency triggers the least number of memory allocation counter increments.

AI hardwareG06F 11/3644G06F 9/5016G06F 11/3006G06F 11/3466G06F 11/3495G06F 11/3624G06F 11/3636G06F 2201/865+3 more

AI classification

AI hardware0.87
Knowledge representation0.10
Planning0.02
Natural language0.00
Machine learning0.00
Evolutionary computation0.00
Speech0.00
Vision0.00

Ownership

DYNATRACE LLC

assignment · 470380924

Assignors

LENGAUER, PHILIPP, FITZEK, STEFAN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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