Abstract
Efficient memory management in embedded systems is a critical concern due to the constrained nature of hardware resources and energy budgets. As embedded devices become more complex and ubiquitous, the need for optimized memory architectures and access mechanisms becomes imperative. This paper investigates VLSI (Very Large Scale Integration) design methodologies tailored to enhance memory efficiency in embedded platforms. We explore the use of hierarchical memory models, on-chip SRAM/DRAM optimizations, memory compression techniques, and dynamic memory allocation hardware. The integration of these components into energy-efficient VLSI designs enables faster access, reduced latency, and lower power consumption. By presenting architectural case studies and analyzing hardware-level simulations, this article contributes to advancing real-time memory solutions for modern embedded systems.
All articles published in the American Journal of Embedded Systems and VLSI Design (AJESVD) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows:
-
Sharing – copying and redistributing the material in any medium or format
-
Adaptation – remixing, transforming, and building upon the material for any purpose, even commercially
Under the following terms:
-
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner but not in any way that suggests the licensor endorses you or your use.
By submitting a manuscript to AJESVD, authors agree to make their work freely available under the terms of the CC BY 4.0 license and affirm that their submission is original and does not infringe on any third-party rights.