The software engineering community has produced numerous tools, techniques, and methodologies for practitioners to analyze and optimize memory usage during software execution. However, little is known about the actual needs ...

Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...

This project shows a methodology for the optimization digital communication systems implemented on software radios SDR reducing the CPU and memory usage. The project was developed using the kit Zedboard which is based ...

Detecting and repairing memory issues is still a challenging task. One reason is that understanding a program's memory usage involves a diverse and related set of dynamic and static aspects. Over the years, multiple tools ...

Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...

Understanding and optimizing memory usage of software applications is a difficult task, usually involving the analysis of large amounts of memory-related complex data. Over the years, numerous software visualizations have ...

The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM algorithm, providing strong statistical evidence, based on descriptive and inferential statistics to bring confidence levels about ...