Skip to main content
USENIX
  • Conferences
  • Students
Sign in
  • Home
  • Attend
    • Registration Information
    • Registration Discounts
    • Venue, Hotel, and Travel
    • Students and Grants
    • Co-located Events
      • HotCloud '15
      • HotStorage '15
  • Program
    • At a Glance
    • Technical Sessions
  • Activities
    • Birds-of-a-Feather Sessions
    • Poster Session
  • Participate
    • Call for Papers
    • Call for Practitioner Talks
    • Instructions for Participants
  • Sponsorship
  • About
    • Conference Organizers
    • Questions
    • Services
    • Help Promote
    • Past Conferences
  • Home
  • Attend
  • Program
  • Activities
  • Participate
  • Sponsorship
  • About

sponsors

Gold Sponsor
Gold Sponsor
Gold Sponsor
Gold Sponsor
Silver Sponsor
Bronze Sponsor
Bronze Sponsor
Bronze Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Industry Partner
Industry Partner

help promote

USENIX ATC '15 button

Get more
Help Promote graphics!

connect with us


  •  Twitter
  •  Facebook
  •  LinkedIn
  •  Google+
  •  YouTube

twitter

Tweets by @usenix

usenix conference policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

You are here

Home » NightWatch: Integrating Lightweight and Transparent Cache Pollution Control into Dynamic Memory Allocation Systems
Tweet

connect with us

NightWatch: Integrating Lightweight and Transparent Cache Pollution Control into Dynamic Memory Allocation Systems

Authors: 

Rentong Guo, Xiaofei Liao, and Hai Jin, Huazhong University of Science and Technology; Jianhui Yue, Auburn University; Guang Tan, Chinese Academy of Sciences

Abstract: 

Cache pollution, by which weak-locality data unduly replaces strong-locality data, may notably degrade application performance in a shared-cache multicore machine. This paper presents NightWatch, a cache management subsystem that provides general, transparent and lowoverhead pollution control to applications. NightWatch is based on the observation that data within the same memory chunk or chunks within the same allocation context often share similar locality property. NightWatch embodies this observation by online monitoring current cache locality to predict future behavior and restricting potential cache polluters proactively. We have integrated NightWatch into two popular allocators, tcmalloc and ptmalloc2. Experiments with SPEC CPU2006 show that NightWatch improves application performance by up to 45% (18% on average), with an average monitoring overhead of 0.57% (up to 3.02%).

Rentong Guo, Huazhong University of Science and Technology

Xiaofei Liao, Huazhong University of Science and Technology

Hai Jin, Huazhong University of Science and Technology

Jianhui Yue, Auburn University

Guang Tan, Chinese Academy of Sciences

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {190536,
author = {Rentong Guo and Xiaofei Liao and Hai Jin and Jianhui Yue and Guang Tan},
title = {{NightWatch}: Integrating Lightweight and Transparent Cache Pollution Control into Dynamic Memory Allocation Systems},
booktitle = {2015 USENIX Annual Technical Conference (USENIX ATC 15)},
year = {2015},
isbn = {978-1-931971-225},
address = {Santa Clara, CA},
pages = {307--318},
url = {https://www.usenix.org/conference/atc15/technical-session/presentation/guo},
publisher = {USENIX Association},
month = jul,
}
Download
Guo PDF
View the slides

Presentation Video 

Presentation Audio

MP3 Download

Download Audio

  • Log in or    Register to post comments

Gold Sponsors

Silver Sponsors

Bronze Sponsors

Media Sponsors & Industry Partners

Open Access Publishing Partner

© USENIX

  • Privacy Policy
  • Contact Us