NDLI: Design of Multiple PVAS on InfiniBand Cluster System Consisting of Many-core and Multi-core

Content Provider	ACM Digital Library
Author	Ishikawa, Yutaka Sato, Mikiko Shimada, Akio Hori, Atsushi Namiki, Mitaro Fukazawa, Go
Abstract	This paper proposes a novel parallel task model for an exascale heterogeneous computing environment consisting of multi-core and many-core CPUs. In the proposed environment, "Multiple Partitioned Virtual Address Space (Multiple PVAS)," all PVAS tasks on the hybrid system share the same virtual address space, so any PVAS task can access the data owned by the other PVAS tasks no matter on which CPU they are running. Multiple PVAS is implemented in the Linux Kernel on Xeon and Xeon Phi. The basic performance of the Multiple PVAS shows that it is effective for the communication between tasks on the hybrid system.
Starting Page	133
Ending Page	138
Page Count	6
File Format	PDF
ISBN	9781450328753
DOI	10.1145/2642769.2642795
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Many-core Memory management Mpi communication Xeon phi System software
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Design of Multiple PVAS on InfiniBand Cluster System Consisting of Many-core and Multi-core