Dynamic cache contention detection in multi-threaded applications
Proceedings of the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
ChronOS Linux: a best-effort real-time multiprocessor Linux kernel
Proceedings of the 48th Design Automation Conference
Agent based load balancing scheme using affinity processor scheduling for multicore architectures
WSEAS Transactions on Computers
Virtualization challenges: a view from server consolidation perspective
VEE '12 Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution Environments
Memory-centric scheduling for multicore hard real-time systems
Real-Time Systems
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Multicore architectures, which have multiple processing units on a single chip, have been adopted by most chip manufacturers. Most such chips contain on-chip caches that are shared by some or all of the cores on the chip. Prior work has presented methods for improving the performance of such caches when scheduling soft real-time workloads. Given these methods, two additional research issues arise: (1) how to automatically profile the cache behavior of real-time tasks within the scheduler; and (2) how to implement scheduling methods efficiently, so that scheduling overheads do not offset any cache-related performance gains. This paper addresses these two issues in an implementation of a cache-aware soft real-time scheduler within Linux, and shows that the use of this scheduler can result in performance improvements that directly result from a decrease in shared cache miss rates.