Review Note
Last Update: 10/13/2023 03:21 PM
Current Deck: multicoren
Published
Fields:
Front
Elaborate on the concept of 'Load-balancing' in multicore systems, focusing on static and dynamic strategies, and the implications for performance and resource utilization.
Back
Load-balancing is the process of distributing work across multiple cores to maximize throughput and minimize latency. In multicore systems, static load-balancing allocates tasks at compile-time or startup, while dynamic load-balancing adjusts during runtime. Static methods are generally faster but can be inefficient if workloads are not uniform. Dynamic methods adapt well to varying workloads but introduce overhead.
Extra
Advanced dynamic load-balancing techniques, like work-stealing and work-sharing, can further optimize resource utilization but require careful tuning and may have non-trivial implementation complexity.
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