Title :
SRAM methodology for yield and power efficiency: per-element selectable supplies and memory reconfiguration schemes
Author :
Kanj, Rouwaida ; Joshi, Rajiv V. ; Zhuo Li ; Kuang, Jente B. ; Hung Ngo ; Ying Zhou ; Weiping Shi ; Nassif, S.
Author_Institution :
IBM Austin Res. Labs., Austin, TX, USA
Abstract :
We present a novel power-aware yield enhancement design methodology and reconfiguration scheme for deep submicron SRAM designs. We show that with the continued trend of raising array supply to counter process variations, it is more effective to use a per-element selectable virtual power-supply scenario as opposed to single array supply with traditional redundancy schemes. The element can be a bank, a sub-array, or an independent row/column, and the element´s virtual supply value is determined based on fail bitmaps. The technique can also be used in conjunction with traditional redundancy schemes to further improve the efficiency. The supply and redundancy assignments can be obtained by relying on memory reconfiguration algorithms. For this, we propose a greedy yet accurate algorithm that runs in O(nlogn) as opposed to average case O(n2) traditional algorithms. The methodology leads to significant power savings ranging from 20% to 50% for 65 nm technology. We expect the savings to increase in future technologies as leakage powers dominate. To the best of our knowledge, this is the first time such a methodology is applied to SRAM designs.
Keywords :
SRAM chips; integrated circuit design; deep submicron SRAM design; memory reconfiguration scheme; per-element selectable virtual power-supply; power-aware yield enhancement design; Constraint optimization; Counting circuits; Design methodology; Fluctuations; Probability; Random access memory; Redundancy; Robustness; Semiconductor memory; Voltage; SRAM; cover algorithm; memory reconfiguration; power; redundancy; vritual supply; yield;
Conference_Titel :
Low Power Electronics and Design (ISLPED), 2008 ACM/IEEE International Symposium on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-8634-2
Electronic_ISBN :
978-1-60558-109-5
DOI :
10.1145/1393921.1393946