How to Efficiently Reconfigure Tunable Lookup Tables for Dynamic Circuit Specialization. (21st March 2016)
- Record Type:
- Journal Article
- Title:
- How to Efficiently Reconfigure Tunable Lookup Tables for Dynamic Circuit Specialization. (21st March 2016)
- Main Title:
- How to Efficiently Reconfigure Tunable Lookup Tables for Dynamic Circuit Specialization
- Authors:
- Kulkarni, Amit
Stroobandt, Dirk - Other Names:
- Pardo Fernando Academic Editor.
- Abstract:
- Abstract : Dynamic Circuit Specialization is used to optimize the implementation of a parameterized application on an FPGA. Instead of implementing the parameters as regular inputs, in the DCS approach these inputs are implemented as constants. When the parameter values change, the design is reoptimized for the new constant values by reconfiguring the FPGA. This allows faster and more resource-efficient implementation but investigations have shown that reconfiguration time is the major limitation for DCS implementation on Xilinx FPGAs. The limitation arises from the use of inefficient reconfiguration methods in conventional DCS implementation. To address this issue, we propose different approaches to reduce the reconfiguration time drastically and improve the reconfiguration speed. In this context, this paper presents the use of custom reconfiguration controllers and custom reconfiguration software drivers, along with placement constraints to shorten the reconfiguration time. Our results show an improvement in the reconfiguration speed by at least a factor 14 by using Xilinx reconfiguration controller along with placement constraints. However, the improvement can go up to a factor 40 with the combination of a custom reconfiguration controller, custom software drivers, and placement constraints. We also observe depreciation in the system's performance by at least 6% due to placement constraints.
- Is Part Of:
- International journal of reconfigurable computing. Volume 2016(2016)
- Journal:
- International journal of reconfigurable computing
- Issue:
- Volume 2016(2016)
- Issue Display:
- Volume 2016, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 2016
- Issue:
- 2016
- Issue Sort Value:
- 2016-2016-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-03-21
- Subjects:
- Adaptive computing systems -- Periodicals
Adaptive computing systems
Periodicals
004 - Journal URLs:
- https://www.hindawi.com/journals/ijrc/ ↗
http://bibpurl.oclc.org/web/52810 ↗ - DOI:
- 10.1155/2016/5340318 ↗
- Languages:
- English
- ISSNs:
- 1687-7195
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10491.xml