학술논문

Memory allocation for low-power real-time embedded microcontroller: a case study
Document Type
Conference
Source
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2022 IEEE 27th International Conference on. :1-4 Sep, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Microcontrollers
Integer linear programming
Benchmark testing
Real-time systems
Resource management
Manufacturing automation
Cortex-M
core-coupled memory
real-time
Language
Abstract
Memory allocation of instructions and data can affect the program execution speed. This paper tests various memory-intensive benchmarks under different memory allocations on a Cortex-M4-based microcontroller and solves the allocation problem using integer linear programming.