DocumentCode
704249
Title
A Container-Based Approach to OS Specialization for Exascale Computing
Author
Zounmevo, Judicael A. ; Perarnau, Swann ; Iskra, Kamil ; Yoshii, Kazutomo ; Gioiosa, Roberto ; Van Essen, Brian C. ; Gokhale, Maya B. ; Leon, Edgar A.
fYear
2015
fDate
9-13 March 2015
Firstpage
359
Lastpage
364
Abstract
Future exascale systems will impose several conflicting challenges on the operating system (OS) running on the compute nodes of such machines. On the one hand, the targeted extreme scale requires the kind of high resource usage efficiency that is best provided by lightweight OSes. At the same time, substantial changes in hardware are expected for exascale systems. Compute nodes are expected to host a mix of general-purpose and special-purpose processors or accelerators tailored for serial, parallel, compute-intensive, or I/O-intensive workloads. Similarly, the deeper and more complex memory hierarchy will expose multiple coherence domains and NUMA nodes in addition to incorporating nonvolatile RAM. That expected workload and hardware heterogeneity and complexity is not compatible with the simplicity that characterizes high performance lightweight kernels. In this work, we describe the Argo Exascale node OS, which is our approach to providing in a single kernel the required OS environments for the two aforementioned conflicting goals. We resort to multiple OS specializations on top of a single Linux kernel coupled with multiple containers.
Keywords
microprocessor chips; operating systems (computers); Linux kernel; NUMA nodes; OS specialization; complex memory hierarchy; compute nodes; container based approach; exascale computing; exascale systems; general purpose processors; operating system; special purpose processors; Containers; Hardware; Instruction sets; Interference; Kernel; Linux; Runtime; OS Specialization; Lean; Container; Cgroups;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Engineering (IC2E), 2015 IEEE International Conference on
Conference_Location
Tempe, AZ
Type
conf
DOI
10.1109/IC2E.2015.78
Filename
7092944
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