Year: 2017
Type: conference-paper
Abstract: The datacenter is becoming fully heterogeneous, integrating multiple OS-capable CPUs of different Instruction Set Architectures in separate machines. These machines present diverse performance and power consumption profiles and we show that significant potential benefits for both metrics can be expected, should these machines be able to cooperate in the processing of datacenter, multi-programmed workloads. We advocate that this cooperation should be enabled at the level of the OS, relieving the programmer from any effort related to the heterogeneity of the managed machines. We propose a distributed OS architecture running on a fully heterogeneous computer cluster, enabling this cooperation through three main components: the abstraction of the entire cluster in a single system image, a distributed shared memory system, and a heterogeneous scheduler.
Authors: Pierre Olivier, Sang-Hoon Kim, Binoy Ravindran
Institution: Virginia Tech
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2739407965