Performance characterization of a Quad Pentium Pro SMP using OLTP workloads
Proceedings of the 25th annual international symposium on Computer architecture
An analysis of operating system behavior on a simultaneous multithreaded architecture
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Symbiotic jobscheduling with priorities for a simultaneous multithreading processor
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Fair Cache Sharing and Partitioning in a Chip Multiprocessor Architecture
Proceedings of the 13th International Conference on Parallel Architectures and Compilation Techniques
Predicting Inter-Thread Cache Contention on a Chip Multi-Processor Architecture
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
Optimizing Replication, Communication, and Capacity Allocation in CMPs
Proceedings of the 32nd annual international symposium on Computer Architecture
Performance of multithreaded chip multiprocessors and implications for operating system design
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Scheduling threads for constructive cache sharing on CMPs
Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures
Analysis and approximation of optimal co-scheduling on chip multiprocessors
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Exploiting unbalanced thread scheduling for energy and performance on a CMP of SMT processors
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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This paper proposes and evaluates APIs for Inter-Core Time Aggregation Scheduler (IAS). IAS is a kernel-level thread scheduler to enhance performance of multi-threaded programs on multi-core processors. IAS combines time-multiplexing and space-multiplexing scheduling to utilize caches existing per processing core and shared between processing cores. We present the effect of APIs in two aspects. Firstly, we show that we can effectively and easily set the aggregation strength in IAS based on the quantum time. Secondly, we show that we can gain the effect of space-multiplexing without setting processor affinity of each thread by grouping processing cores and running IAS per group. We implement IAS and its APIs by modifying a Linux kernel and present its effect on a commodity multi-core processor.