Exploring Synchronous Page Fault Handling

Yin Chiuan Chen, Chun Feng Wu, Yuan Hao Chang*, Tei Wei Kuo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The advance of nonvolatile memory in storage technology has presented challenges in redefining the ways in handling the main memory and the storage. This work is motivated by the strong demands in effective handling of page faults over ultralow-latency storage devices. In particular, we propose synchronous and asynchronous prefetching strategies to satisfy process executions with different memory demands in supporting of synchronous page fault handling. An adaptive CPU scheduling strategy is also proposed to cope with the needs of processes in maintaining their working sets in the main memory. Six representative benchmarks and applications were evaluated. It was shown that our strategy can effectively save 12.33% of the total execution time and reduce 13.33% of page faults, compared to the conventional demand paging strategy with nearly no sacrificing of process fairness.

Original languageEnglish
Pages (from-to)3791-3802
Number of pages12
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume41
Issue number11
DOIs
StatePublished - 1 Nov 2022

Keywords

  • Context switch
  • data prefetching
  • killer microsecond
  • page faults
  • process scheduler
  • synchronous I/O completion designs
  • ultralow-latency (ULL) devices

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