A modified approach to data cache management
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Reducing cache misses using hardware and software page placement
ICS '99 Proceedings of the 13th international conference on Supercomputing
Using the Compiler to Improve Cache Replacement Decisions
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Adaptive insertion policies for high performance caching
Proceedings of the 34th annual international symposium on Computer architecture
Adaptive insertion policies for managing shared caches
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
PIPP: promotion/insertion pseudo-partitioning of multi-core shared caches
Proceedings of the 36th annual international symposium on Computer architecture
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Instruction-based reuse-distance prediction for effective cache management
SAMOS'09 Proceedings of the 9th international conference on Systems, architectures, modeling and simulation
High performance cache replacement using re-reference interval prediction (RRIP)
Proceedings of the 37th annual international symposium on Computer architecture
Memory system performance in a NUMA multicore multiprocessor
Proceedings of the 4th Annual International Conference on Systems and Storage
Proceedings of the international symposium on Memory management
Reducing last level cache pollution through OS-level software-controlled region-based partitioning
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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Efficient techniques for predicting cache sharing and throughput
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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Contention for shared cache resources has been recognized as a major bottleneck for multicores--especially for mixed workloads of independent applications. While most modern processors implement instructions to manage caches, these instructions are largely unused due to a lack of understanding of how to best leverage them. This paper introduces a classification of applications into four cache usage categories. We discuss how applications from different categories affect each other's performance indirectly through cache sharing and devise a scheme to optimize such sharing. We also propose a low-overhead method to automatically find the best per-instruction cache management policy. We demonstrate how the indirect cache-sharing effects of mixed workloads can be tamed by automatically altering some instructions to better manage cache resources. Practical experiments demonstrate that our software-only method can improve application performance up to 35% on x86 multicore hardware.