Paper Info
Title
Stretch and compress based re-scheduling techniques for minimizing the execution times of DAGs on multi-core processors under energy constraints
Abstract
Given an initial schedule of a parallel program represented by a directed acyclic graph (DAG) and an energy constraint, the question arises how to effectively determine what nodes (tasks) can be penalized (slowed down) through the use of dynamic voltage scaling. The resulting re-schedule length with a strict energy budget should have a minimum amount of expansion compared to the original schedule achieved with full energy. We propose three static schemes that aim to achieve this goal. Each scheme encompasses submitting a schedule to either a conceptual “stretch” (starting tasks with a maximum voltage supplied to all cores followed by methodical voltage reductions) or “compress” (starting tasks with a minimum voltage supplied to all cores followed by methodical voltage boosts). The complexity arises due to the inter-dependence of tasks. We propose methods that efficiently make such findings by analyzing the DAG and determining the “impact factor” of a node in the graph for the purpose of guiding the schedule toward the desired goal. The comparison between the stretch-alone and compress-alone based algorithms leads to a third algorithm that employs schedule “compression,” but reschedules all cores following each successive voltage adjustment. Detailed simulation experiments demonstrate the effect of various task and processor parameters on the performance of the proposed algorithms.
Year
DOI
Venue
2010
10.1109/GREENCOMP.2010.5598274
Green Computing Conference
Keywords
Field
DocType
full energy,minimum voltage,execution time,dynamic voltage scaling,initial schedule,original schedule,maximum voltage,successive voltage adjustment,energy constraint,methodical voltage boost,multi-core processor,methodical voltage reduction,multi core,parallel programming,energy budget,multicore processors,coprocessors,parallel processing,directed acyclic graph,dag,energy,scheduling,simulation experiment,multi core processor,directed graphs
Dynamic voltage scaling,Scheduling (computing),Computer science,Parallel computing,Voltage,Directed graph,Directed acyclic graph,Coprocessor,Multi-core processor,Fold (higher-order function)
Conference
Citations 
PageRank 
References 
12
0.59
14
Authors
3
Name
Order
Citations
PageRank
David King1120.59
Ishfaq Ahmad22884192.17
Hafiz Fahad Sheikh3796.41