NDLI: COMIC++: A software SVM system for heterogeneous multicore accelerator clusters

Content Provider	IEEE Xplore Digital Library
Author	Jaejin Lee Jun Lee Sangmin Seo Jungwon Kim Seungkyun Kim Sura, Z.
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Engineering, Seoul National University, Seoul, Korea (Jaejin Lee; Jun Lee; Sangmin Seo; Jungwon Kim; Seungkyun Kim) \|\| IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA (Sura, Z.)
Abstract	In this paper, we propose a software shared virtual memory (SVM) system for heterogeneous multicore accelerator clusters with explicitly managed memory hierarchies. The target cluster consists of a single manager node and many compute nodes. The manager node contains a generalpurpose processor and larger main memory, and each compute node contains a heterogeneous multicore processor and smaller main memory. These nodes are connected with an interconnection network, such as Gigabit Ethernet. The heterogeneous multicore processor in each compute node consists of a general-purpose processor element (GPE) and multiple accelerator processor elements (APEs). The GPE runs an OS and the multiple APEs are dedicated to compute-intensive workloads. The GPE is typically backed by a deep on-chip cache hierarchy and hardware cache coherence. On the other hand, the APEs have small explicitly-addressed local memory instead of caches. This APE local memory is not coherent with the main memory. Different main and local memory units in the accelerator cluster can be viewed as an explicitly managed memory hierarchy: global memory, node local memory, and APE local memory. Since coherence protocols of previous software SVM proposals cannot effectively handle such a memory hierarchy, we propose a new coherence and consistency protocol, called hierarchical centralized release consistency (HCRC). Our software SVM system is built on top of HCRC and software-managed caches. We evaluate the effectiveness and analyze the performance of our software SVM system on a 32-node heterogeneous multicore cluster (a total of 192 APEs).
Starting Page	1
Ending Page	12
File Size	531473
Page Count	12
File Format	PDF
ISBN	9781424456581
ISSN	15300897
e-ISBN	9781424456598
DOI	10.1109/HPCA.2010.5416633
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software systems Support vector machines Multicore processing Memory management Protocols Multiprocessor interconnection networks Ethernet networks Hardware Proposals Performance analysis
Content Type	Text
Resource Type	Article

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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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