کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4956742 | 1444590 | 2017 | 28 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Efficient dynamic priority based soft error mitigation techniques for configuration memory of FPGA hardware
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
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چکیده انگلیسی
Radiation-induced single bit upsets (SBUs) and multi-bit upsets (MBUs) are more prominent in Field Programmable Gate Arrays (FPGAs) due to the presence of a large number of latches in the configuration memory (CM) of FPGAs. At the same time, SBUs and MBUs in the CM can permanently or temporarily affect the hardware circuit implemented on FPGA. Hence, error mitigation and recovery techniques are necessary to protect the FPGA hardware from permanent faults arising due to such SBUs and MBUs. Different existing techniques used to mitigate the effect of soft errors in FPGA have high overhead and their implementations are also quite complex. In this paper, we have proposed efficient single bit as well as multi-bit error correcting methods to correct errors in the CM of FPGAs using simple parity equations and Erasure code. These codes are easy to implement, and the needed decoding circuits are also simple. Use of Dynamic Partial Reconfiguration (DPR) along with a simple hardware scheduling algorithm based download manager helps to perform the error correction in the CM without suspending the operations of the other hardware blocks. We propose a first of its kind methodology for novel transient fault correction using efficient error correcting codes with hardware scheduling for FPGAs. To validate the design we have tested the proposed methodology with Kintex FPGA. We have also measured different parameters like fault recovery time, power consumption, resource overhead and error correction efficiency to estimate the performance of our proposed methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microprocessors and Microsystems - Volume 51, June 2017, Pages 313-330
Journal: Microprocessors and Microsystems - Volume 51, June 2017, Pages 313-330
نویسندگان
Swagata Mandal, Rourab Paul, Suman Sau, Amlan Chakrabarti, Subhasis Chattopadhyay,