NDLI: Dynamic Scheduling of Irregular Stream Programs toward Many-Core Scalability

Content Provider	IEEE Xplore Digital Library
Author	Changwoo Min Young Ik Eom
Copyright Year	1990
Abstract	The stream programming model has received much interest because it naturally exposes task, data, and pipeline parallelism. However, most priorwork has focused on the static scheduling of regular stream programs. Therefore, irregular applications cannot be handled in static scheduling, and the load imbalance caused by static scheduling faces scalability limitations in many-core systems. In this paper, we introduce the DANBI programming model, which supports irregular stream programs, and propose dynamic scheduling techniques. Scheduling irregular stream programs is very challenging, and the load imbalance becomes a major hurdle to achieving scalability. Our dynamic load-balancing scheduler exploits producer-consumer relationships already expressed in the DANBI program to achieve scalability. Moreover, it effectively avoids the thundering-herd problem and dynamically adapts to load imbalance in a probabilistic manner. It surpasses prior static stream scheduling approaches which are vulnerable to load imbalance and also surpasses prior dynamic stream scheduling approaches which result in many restrictions on supported program types, on the scope of dynamic scheduling, and on data ordering preservation. Our experimental results on a 40-core server show that DANBI achieves an almost linear scalability and outperforms state-of-the-art parallel runtimes by up to 2.8 times.
Sponsorship	IEEE Computer Society
Starting Page	1594
Ending Page	1607
Page Count	14
File Size	1871168
File Format	PDF
ISSN	10459219
Volume Number	26
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Dynamic scheduling Scalability Runtime Programming Parallel processing Schedules irregular programs Stream programming software pipelining scheduling load balancing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computational Theory and Mathematics Hardware and Architecture

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

Runtime incremental parallel scheduling (RIPS) on distributed memory computers

On runtime parallel scheduling for processor load balancing

Software Pipelining for Stream Programs on Resource Constrained Multicore Architectures

Using processor affinity in loop scheduling on shared-memory multiprocessors

Trapezoid self-scheduling: a practical scheduling scheme for parallel compilers

Efficient parallel execution of irregular recursive programs

Parallelization of a dynamic unstructured algorithm using three leading programming paradigms

Distributed load balancing for parallel main memory hash join

Efficient local search far DAG scheduling

Dynamic Scheduling of Irregular Stream Programs toward Many-Core Scalability

Similar Documents

Runtime incremental parallel scheduling (RIPS) on distributed memory computers

On runtime parallel scheduling for processor load balancing

Software Pipelining for Stream Programs on Resource Constrained Multicore Architectures

Using processor affinity in loop scheduling on shared-memory multiprocessors

Trapezoid self-scheduling: a practical scheduling scheme for parallel compilers

Efficient parallel execution of irregular recursive programs

Parallelization of a dynamic unstructured algorithm using three leading programming paradigms

Distributed load balancing for parallel main memory hash join

Efficient local search far DAG scheduling

Dynamic Scheduling of Irregular Stream Programs toward Many-Core Scalability