DocumentCode :
3261945
Title :
A novel fault tolerant cache to improve yield in nanometer technologies
Author :
Agarwal, Amit ; Paul, Bipul C. ; Roy, Kaushik
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
fYear :
2004
fDate :
12-14 July 2004
Firstpage :
149
Lastpage :
154
Abstract :
Process parameter variations are expected to be significantly high in the sub-50 nm technology regime, which can severely affect the yield. In this paper, we analyze SRAM cell failure under process variation and propose a new fault tolerant cache architecture suitable for high performance applications. The faulty cells are dynamically detected and replaced by adaptively resizing the cache. The granularity of our resizing technique is low, and hence, the technique can handle a large number of faults. This scheme is transparent to processor architecture and has negligible energy and area overhead. This scheme also does not affect the cache access time and has minimum effect on processor performance. Experimental results on a 64 K cache, implemented using BPTM (Berkeley predictive technology model) 45 nm technology, show that using our technique, the effective yield can be increased to 94% from its original 33%.
Keywords :
SRAM chips; cache storage; fault tolerance; integrated circuit yield; memory architecture; nanoelectronics; 45 nm; 64 K; BPTM; Berkeley predictive technology model; SRAM cell failure; cache access time; cache adaptive resizing; dynamically detected faulty cells; fault tolerant cache architecture; faulty cell replacement; process parameter variations; resizing technique granularity; yield improvement; CMOS technology; Circuit faults; Error correction codes; Failure analysis; Fault detection; Fault tolerance; Geometry; Random access memory; Redundancy; Threshold voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
On-Line Testing Symposium, 2004. IOLTS 2004. Proceedings. 10th IEEE International
Print_ISBN :
0-7695-2180-0
Type :
conf
DOI :
10.1109/OLT.2004.1319673
Filename :
1319673
Link To Document :
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