- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
An Effective Suspicious Timing-Error Prediction Circuit Insertion Algorithm Minimizing Area Overhead
-
- YOSHIDA Shinnosuke
- Dept. of Computer Science and Communications Engineering, Waseda University
-
- SHI Youhua
- Waseda Institute for Advanced Study, Waseda University
-
- YANAGISAWA Masao
- Dept. of Computer Science and Communications Engineering, Waseda University
-
- TOGAWA Nozomu
- Dept. of Computer Science and Communications Engineering, Waseda University
Description
As process technologies advance, timing-error correction techniques have become important as well. A suspicious timing-error prediction (STEP) technique has been proposed recently, which predicts timing errors by monitoring the middle points, or check points of several speed-paths in a circuit. However, if we insert STEP circuits (STEPCs) in the middle points of all the paths from primary inputs to primary outputs, we need many STEPCs and thus require too much area overhead. How to determine these check points is very important. In this paper, we propose an effective STEPC insertion algorithm minimizing area overhead. Our proposed algorithm moves the STEPC insertion positions to minimize inserted STEPC counts. We apply a max-flow and min-cut approach to determine the optimal positions of inserted STEPCs and reduce the required number of STEPCs to 1/10-1/80 and their area to 1/5-1/8 compared with a naive algorithm. Furthermore, our algorithm realizes 1.12X-1.5X overclocking compared with just inserting STEPCs into several speed-paths.
Journal
-
- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
-
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E98.A (7), 1406-1418, 2015
The Institute of Electronics, Information and Communication Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390282681287622528
-
- NII Article ID
- 130005085793
-
- ISSN
- 17451337
- 09168508
-
- Text Lang
- en
-
- Article Type
- journal article
-
- Data Source
-
- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
-
- Abstract License Flag
- Disallowed