SysMon: Monitoring Memory Behaviors via OS Approach

Xie, Mengyao; Liu, Lei; Yang, Haipeng; Wu, Chenggang; Geng, Hongna

doi:10.1007/978-3-319-67952-5_5

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…In BATS, we implement a module (enhanced from Memos [27] and SysMon [49]) to collect the access hotness of VMAs in kernel space. The two frameworks have been proved to be able to precisely collect the hotness of pages [27,49]. The module passes hotness data to BATS runtime system through "/proc" virtual file system in Linux operating system.…”

Section: Implementation Of Hotness Monitoringmentioning

confidence: 99%

Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory

Zhao

Chen

Qiu

et al. 2018

ACM Trans. Archit. Code Optim.

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Parallel computers now start to adopt Bandwidth-Asymmetric Memory architecture that consists of traditional DRAM memory and new High Bandwidth Memory (HBM) for high memory bandwidth. However, existing task schedulers suffer from low bandwidth usage and poor data locality problems in bandwidthasymmetric memory architectures. To solve the two problems, we propose a Bandwidth and Locality Aware Task-stealing (BATS) system, which consists of an HBM-aware data allocator, a bandwidth-aware traffic balancer, and a hierarchical task-stealing scheduler. Leveraging compile-time code transformation and run-time data distribution, the data allocator enables HBM usage automatically without user interference. According to data access hotness, the traffic balancer migrates data to balance memory traffic across memory nodes proportional to their bandwidth. The hierarchical scheduler improves data locality at runtime without a priori program knowledge. Experiments on an Intel Knights Landing server that adopts bandwidth-asymmetric memory show that BATS reduces the execution time of memory-bound programs up to 83.5% compared with traditional task-stealing schedulers.

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