Title
A Fast Online Task Placement Algorithm For Three-Dimensional Dynamic Partial Reconfigurable Devices
Abstract
Three-dimensional (3D) integration technology provides a great opportunity for reconfigurable devices to increase device performance. Nevertheless, there is no efficient data structure and task placement algorithm to manage 3D dynamic partial reconfigurable (DPR) resources in literature. Inefficient algorithms limit the performance of 3D DPR devices. This study addresses the issue of the 3D task placement problem via a novel data structure named Maximal Empty Cuboid (MEC) list, which is proposed to manage the unoccupied space on the 3D DPR device. No matter if a task is assigned or removed on the device, the MEC list is updated in real-time to record 3D unoccupied resources so that the online task placement can be executed in a shorter time. Experiments are carried out to evaluate the performance of the proposed task placement algorithm, and results demonstrate that the proposed algorithm can make a reduction of at least 39% in terms of the task rejection ratio verifying the algorithm's efficiency.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2975254
IEEE ACCESS
Keywords
DocType
Volume
Online task placement algorithm, three-dimensional, dynamic partial reconfigurable devices, maximal empty cuboid
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Tingyu Zhou101.01
Tieyuan Pan232.78
Michael Conrad Meyer301.01
Yiping Dong400.68
Takahiro Watanabe52915.61