Memory Allocation Problems in Embedded Systems : Optimization Methods.
Title:
Memory Allocation Problems in Embedded Systems : Optimization Methods.
Author:
Soto, Maria.
ISBN:
9781118577660
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (125 pages)
Series:
Iste
Contents:
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.
Abstract:
Embedded systems are everywhere in contemporary life and are supposed to make our lives more comfortable. In industry, embedded systems are used to manage and control complex systems (e.g. nuclear power plants, telecommunications and flight control) and they are also taking an important place in our daily activities (e.g. smartphones, security alarms and traffic lights). In the design of embedded systems, memory allocation and data assignment are among the main challenges that electronic designers have to face. In fact, they impact heavily on the main cost metrics (power consumption, performance and area) in electronic devices. Thus designers of embedded systems have to pay careful attention in order to minimize memory requirements, thus improving memory throughput and limiting the power consumption by the system's memory. Electronic designers attempt to minimize memory requirements with the aim of lowering the overall system costs. A state of the art of optimization techniques for memory management and data assignment is presented in this book.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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