NDLI: Improved scheduler for multi-core many-core systems

Content Provider	Springer Nature Link
Author	Kumar, Neetesh Vidyarthi, Deo Prakash
Copyright Year	2014
Abstract	Over the years, presence of heterogeneous system has dominated the area of concurrent job execution. Heterogeneous system is the natural choice as it can be designed with the legacy system. Scheduling, on such systems, is an important activity as it affects the job execution characteristic. Heterogeneity introduces many challenges for the efficient job execution. Heterogeneity in core architecture introduces the possibility of heterogeneous memory architecture in many/multi core heterogeneous system. This makes it often impossible to determine for the same instruction if a high frequency core has low or high memory latency in comparison to the low frequency core and vice-versa. The work proposes an improved scheduler for such systems in which both core and memory are heterogeneous. It defines average effective time ( $$\hbox {AE}_\mathrm{t}$$ ) as the base parameter for this purpose. Priorities of each thread (workload) and the core are dynamically generated using $$\hbox {AE}_\mathrm{t}$$ for effective mapping. Experimental results, on the benchmark data, reveal that the proposed scheduler performs much better in terms of cores utilization, speedup and efficiency in comparison to other similar models.
Ending Page	1110
Page Count	24
Starting Page	1087
File Format	PDF
ISSN	0010485X
e-ISSN	14365057
Journal	Computing
Issue Number	11
Volume Number	96
Language	English
Publisher	Springer Vienna
Publisher Date	2014-08-03
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Speedup Memory latency Effective time Software Engineering Performance evaluation; queueing; scheduling Computer Application in Administrative Data Processing Computer Science Heterogeneous system Artificial Intelligence (incl. Robotics) Information Systems Applications (incl. Internet) Computer Communication Networks Thread
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computational Mathematics Numerical Analysis Computer Science Applications Software

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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

PASTA: a power-aware solution to scheduling of precedence-constrained tasks on heterogeneous computing resources

Energy-centric DVFS controlling method for multi-core platforms

Adaptive scheduling algorithm for media-optimized traffic management in software defined networks

ACS: an effective admission control scheme with deadlock resolutions for workflow scheduling in clouds

Introduction to the computing special issue: performance portability and tuning for multi-core and many-core computing systems

An effective fixed priority co-scheduling algorithm for periodic update and application transactions

Potential thread-level-parallelism exploration with superblock reordering

Integrated policy management framework for IaaS Cloud middleware

A QoS-aware broker for hybrid clouds

Improved scheduler for multi-core many-core systems

Similar Documents

PASTA: a power-aware solution to scheduling of precedence-constrained tasks on heterogeneous computing resources

Energy-centric DVFS controlling method for multi-core platforms

Adaptive scheduling algorithm for media-optimized traffic management in software defined networks

ACS: an effective admission control scheme with deadlock resolutions for workflow scheduling in clouds

Introduction to the computing special issue: performance portability and tuning for multi-core and many-core computing systems

An effective fixed priority co-scheduling algorithm for periodic update and application transactions

Potential thread-level-parallelism exploration with superblock reordering

Integrated policy management framework for IaaS Cloud middleware

A QoS-aware broker for hybrid clouds

Improved scheduler for multi-core many-core systems