Publication | Closed Access
Off-chip memory bandwidth minimization through cache partitioning for multi-core platforms
36
Citations
17
References
2010
Year
Unknown Venue
Cluster ComputingEngineeringComputer ArchitectureMulti-channel Memory ArchitectureHardware SecurityHigh-performance ArchitectureCache PartitioningParallel ComputingManycore ProcessorProcessor CoresApplication-driven L2 CacheComputer EngineeringComputer ScienceMemory ArchitectureEdge ComputingCloud ComputingMany-core ArchitectureParallel ProgrammingMemory Demand
We present a methodology for off-chip memory bandwidth minimization through application-driven L2 cache partitioning in multi-core systems. A major challenge with multi-core system design is the widening gap between the memory demand generated by the processor cores and the limited off-chip memory bandwidth and memory service speed. This severely restricts the number of cores that can be integrated into a multi-core system and the parallelism that can be actually achieved and efficiently exploited for not only memory demanding applications, but also for workloads consisting of many tasks utilizing a large number of cores and thus exceeding the available off-chip bandwidth.
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