English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Confronted with the challenge of high performance for applications and the restriction of hardware resources for field-programmable gate arrays (FPGAs), partial dynamic reconfiguration technology is anticipated to accelerate the reconfiguration process and alleviate the device shortage. In this paper, we propose an integrated optimization framework for task partitioning, scheduling, and floorplanning on partially dynamically reconfigurable FPGAs. The partition, schedule, and floorplan of the tasks are represented by the partitioned sequence triple (PST) (PS, QS, RS), where (PS, QS) is a hybrid nested sequence pair for representing the spatial and temporal partitions, as well as the floorplan, and RS is the partitioned dynamic configuration order of the tasks. The floorplanning and scheduling of task modules can be computed from the P-ST in O(n<sup>2</sup>) time. To integrate the exploration of the scheduling and floorplanning design space, we use a simulated annealing-based search engine and elaborate a perturbation method, where a randomly chosen task module is removed from the partition sequence triple and then reinserted into a proper position selected from all the O(n<sup>3</sup>) possible combinations of partition, schedule and floorplan. We also prove a sufficient and necessary condition for the feasibility of the partitioning of tasks and scheduling of task configurations, and derive conditions for the feasibility of the insertion points in a P-ST. The experimental results demonstrate the efficiency and effectiveness of the proposed framework.

Integrated Optimization of Partitioning, Scheduling, and Floorplanning for Partially Dynamically Reconfigurable Systems