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Design Space Exploration and Resource Management of Multi/Many-Core Systems
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The increasing demand of processing a higher number of applications and related data on computing platforms has resulted in reliance on multi-/many-core chips as they facilitate parallel processing. However, there is a desire for these platforms to be energy-efficient and reliable, and they need to perform secure computations for the interest of the whole community. This book provides perspectives on the aforementioned aspects from leading researchers in terms of state-of-the-art contributions and upcoming trends.
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Keywords
- 3D-stacked memories
- code annotation
- compiler optimizations
- composability
- concurrent workloads
- cyber security
- data centers
- design space exploration (DSE)
- directed acyclic task graphs
- Embedded computer systems
- embedded systems
- Energy consumption
- Energy Efficiency
- energy-efficient computing
- High performance computing
- Hybrid Application Mapping (HAM)
- Machine learning
- many-core
- many-core systems
- mixed-criticality
- multi-core systems
- multi-objective optimization
- multi/many-core platforms
- near-memory processing
- Network-on-Chip (NoC)
- NoC
- non-volatile memories
- OFDMA
- online heuristics
- peak-power management
- predictability
- Processing-in-Memory
- profit
- real-time guarantees
- reconfigurable
- reinforcement learning
- Reliability
- Resource allocation
- Resource Management
- RF
- Routing
- run-time management
- server consolidation
- simulator
- system trade-offs
- system-level design and design-space exploration
- Technology, engineering, agriculture
- Technology: general issues
Links
DOI: 10.3390/books978-3-0365-0877-1Editions