Addressing shared resource contention in multicore processors via scheduling
By Sergey Zhuravlev, Sergey Blagodurov, Alexandra Fedorova. ASPLOS XV, 2010
656 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
View Paper: https://www.semanticscholar.org/paper/b24452a18a3e6bfa09a0f44236f80ca96d2f9843
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Timothy G. Rogers
- Tor M. Aamodt
- Mike O'Connor
- Jason Mars
- Aman Kansal
- Robert Hundt
- Kevin Skadron
- Mary Lou Soffa
In Hardware and Architecture
- Timothy G. Rogers
- Tor M. Aamodt
- Mike O'Connor
- Jason Mars
- Aman Kansal
- Robert Hundt
- Kevin Skadron
- Mary Lou Soffa
In Information Systems
- Mike O'Connor
- Aman Kansal
- Kevin Skadron
- Tor M. Aamodt
- Mary Lou Soffa
- Timothy G. Rogers
- Christos Kozyrakis
- Anton Beloglazov
Citations in the corpus
- Q-clouds: managing performance interference effects for QoS-aware clouds (2010, background): “To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior speci.c permission and/or a fee.”
- Cache-Conscious Wavefront Scheduling (2012, methodology): “Unlike scheduling approaches for managing contention implemented in the operating system [39], our technique exploits finegrained information available to the low-level hardware scheduler.”
- Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations (2011, background): “The most relevant re-lated work aims to classify applications based on how aggressive they are for the shared memory resources and identify co-locations to reduce contention based on the classifi-cation [3,16,17,21,23,24,37,39,41].”
- Who Limits the Resource Efficiency of My Datacenter: An Analysis of Alibaba Datacenter Traces (2019, background): “The more workloads we co-locate on the same hardware, the more likely each workload suffers performance interference from each other [3, 19, 31].”