- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Mobility Overlap-Removal-Based Leakage Power and Register-Aware Scheduling in High-Level Synthesis
-
- WANG Nan
- Waseda University
-
- CHEN Song
- University of Science and Technology of China
-
- ZHONG Wei
- Waseda University
-
- LIU Nan
- Waseda University
-
- YOSHIMURA Takeshi
- Waseda University
Search this article
Description
Scheduling is a key problem in high level synthesis, as the scheduling results affect most of the important design metrics. In this paper, we propose a novel scheduling method to simultaneously optimize the leakage power of functional units with dual-Vth techniques and the number of registers under given timing and resource constraints. The mobility overlaps between operations are removed to eliminate data dependencies, and a simulated-annealing-based method is introduced to explore the mobility overlap removal solution space. Given the overlap-free mobilities, the resource usage and register usage in each control step can be accurately estimated. Meanwhile, operations are scheduled so as to optimize the leakage power of functional units with minimal number of registers. Then, a set of operations is iteratively selected, reassigned as low-Vth, and rescheduled until the resource constraints are all satisfied. Experimental results show the efficiency of the proposed algorithm.
Journal
-
- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
-
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E97.A (8), 1709-1719, 2014
The Institute of Electronics, Information and Communication Engineers
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282681288926464
-
- NII Article ID
- 130004679254
-
- ISSN
- 17451337
- 09168508
-
- Text Lang
- en
-
- Article Type
- journal article
-
- Data Source
-
- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
-
- Abstract License Flag
- Disallowed