The Three-Dimensional Bin Packing Problem
Operations Research
Multiprocessor EDF and Deadline Monotonic Schedulability Analysis
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
An Exact Approach to the Strip-Packing Problem
INFORMS Journal on Computing
An EDF schedulability test for periodic tasks on reconfigurable hardware devices
Proceedings of the 2006 ACM SIGPLAN/SIGBED conference on Language, compilers, and tool support for embedded systems
An efficient algorithm for free resources management on the FPGA
Proceedings of the conference on Design, automation and test in Europe
Design and Architectural Exploration of Expression-Grained Reconfigurable Arrays
SASP '08 Proceedings of the 2008 Symposium on Application Specific Processors
Combining multicore and reconfigurable instruction set extensions
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
ReMAP: A Reconfigurable Heterogeneous Multicore Architecture
MICRO '43 Proceedings of the 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture
Shared reconfigurable fabric for multi-core customization
Proceedings of the 48th Design Automation Conference
Integrated Temporal Planning, Module Selection and Placement of Tasks for Dynamic Networks-on-Chip
IPDPSW '11 Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum
Mapping on multi/many-core systems: survey of current and emerging trends
Proceedings of the 50th Annual Design Automation Conference
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Processor customization in the form of application-specific instructions has become a popular choice to meet the increasing performance demands of embedded applications under short time-to-market constraints. Implementing the custom instructions in reconfigurable logic provides greater flexibility. Recently, a number of architectures have been proposed where multiple cores on chip share a single reconfigurable fabric that implements the custom instructions. Effective exploitation of this reconfigurable fabric requires runtime scheduling of the tasks on the cores and allocation of reconfigurable logic for custom instructions. In this paper, we propose an efficient online scheduling algorithm for multi-core shared reconfigurable fabric and show its effectiveness through experimental evaluation.