Interference-Aware Program Scheduling for Multicore Processors

Wang, Lin; Wang, Rui; Fu, Cuijiao; Luan, Zhongzhi; Qian, Depei

doi:10.1007/978-3-319-03859-9_38

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…In order to avoid the serious performance interference, programs should be scheduled reasonably to different socket to improve the program's performance and system's utilization [5]. How to schedule the programs is the problem should be deeply explored.…”

Section: Introductionmentioning

confidence: 99%

Improving co-running program’s performance on CMP

Tian

Li²,

Niu³

et al. 2017

MATEC Web Conf.

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Abstract. Chip multi-processor (CMP) has become the most common processor in the current cluster and desktop computer, and it is also the current development direction. On CMP, programs usually co-running with each other. However, programs commonly interfere with each other. Some time the interference takes big effect, which cause serious drop down of performance. In order to avoid the serious performance interference, programs should be scheduled reasonably to different socket to improve the program's performance and system's utilization. In this paper we propose a new scheduling method to realize a more reasonable scheduling. We do not only consider the LLC miss rate, but also consider the LLC reference of the programs. By the information of LLC reference and LLC miss rate, we schedule programs to different sockets, which realize a reasonable scheduling. The experiment result show that making use of the scheduling method proposed by our paper, program's performance can improve 4%, because the performance improve is realized by on-chip resource, which is a big contribution.

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Section: Introductionmentioning

confidence: 99%

Improving co-running program’s performance on CMP

Tian

Li²,

Niu³

et al. 2017

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…Some times the effect of interference is little, which do little effect to program's performance. Some time the interference takes big effect, which cause serious drop down of performance [4,5]. Further more, for programs co-running on CMP, serious performance dropdown is not expected.…”

Section: Introductionmentioning

confidence: 99%

Ensuring the Fairness of program’s performance on CMP

Wang¹,

Gao²,

Hou³

et al. 2017

MATEC Web Conf.

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Abstract. On CMP, programs commonly interference with each other. But for programs co-running on CMP, serious performance dropdown is not expected. With the growth of the program's size, program's contention for limited shared resources in the system will become increasingly intense, and the resulting impact on system performance will be even more pronounced. How to allocate and share limited shared resources among programs is a very important problem. In this paper we propose a new method to ensure the fairness of program's performance on CMP. The share resource CPU and memory are included in our study. Meanwhile, the Linux resource management tool Cgroups is used to realize our idea. By the resource we profiled and the tool support, we realize a reasonable resource dividing method to ensure the fairness of program's performance. The reasonable resource dividing method include three Engine. The experiment result show that making use of the fairness resource dividing method proposed by our paper, compared with operating system scheduling, program's performance difference can be largely reduced.

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DBFS: Dual Best-First Search Mapping Algorithm for Shared-Cache Multicore Processors

Leppänen

2015

Algorithms and Architectures for Parallel Processing

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Interference-Aware Program Scheduling for Multicore Processors

Cited by 4 publications

References 16 publications

Improving co-running program’s performance on CMP

Improving co-running program’s performance on CMP

Ensuring the Fairness of program’s performance on CMP

DBFS: Dual Best-First Search Mapping Algorithm for Shared-Cache Multicore Processors

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