
Memory Allocation Problems in Embedded Systems
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Content
- Intro
- Contents
- Title
- Copyright
- Introduction
- Chapter 1: Context
- 1.1. Embedded systems
- 1.2. Memory management for decreasing power consumption, performance and area in embedded systems
- 1.3. State of the art in optimization techniques for memory management and data assignment
- 1.4. Operations research and electronics
- Chapter 2: Unconstrained Memory Allocation Problem
- 2.1. Introduction
- 2.2. An ILP formulation for the unconstrained memory allocation problem
- 2.3. Memory allocation and the chromatic number
- 2.4. An illustrative example
- 2.5. Three new upper bounds on the chromatic number
- 2.6. Theoretical quality assessment of three upper bounds
- 2.7. Computational assessment of three upper bounds
- 2.8. Conclusion
- Chapter 3: Memory Allocation Problem With Constraint on the Number of Memory Banks
- 3.1. Introduction
- 3.2. An ILP formulation for the memory allocation problem with constraint on the number of memory banks
- 3.3. An illustrative example
- 3.4. Proposed metaheuristics
- 3.5. Computational results and discussion
- 3.6. Conclusion
- Chapter 4: General Memory Allocation Problem
- 4.1. Introduction
- 4.2. ILP formulation for the general memory allocation problem
- 4.3. An illustrative example
- 4.4. Proposed metaheuristics
- 4.5. Computational results and discussion
- 4.6. Statistical analysis
- 4.7. Conclusion
- Chapter 5: Dynamic Memory Allocation Problem
- 5.1. Introduction
- 5.2. ILP formulation for dynamic memory allocation problem
- 5.3. An illustrative example
- 5.4. Iterative metaheuristic approaches
- 5.5. Computational results and discussion
- 5.6. Statistical analysis
- 5.7. Conclusion
- Chapter 6: MemExplorer: Cases Studies
- 6.1. The design flow
- 6.2. Example of MemExplorer utilization
- Chapter 7: General Conclusions and Future Work
- 7.1. Summary of the memory allocation problem versions
- 7.2. Intensification and diversification
- 7.3. Conclusions
- 7.4. Future works
- Bibliography
- Index
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