A Framework to Evaluate the Trade-Off among AVF, Performance and Area of Soft Error Tolerant Microprocessors

Author(s):  
Rui Gong ◽  
Kui Dai ◽  
Zhiying Wang
Keyword(s):  
Author(s):  
Yue Ma ◽  
Junlong Zhou ◽  
Thidapat Chantem ◽  
Robert P. Dick ◽  
X. Sharon Hu

AbstractMulti-processor systems on a chip (MPSoCs) are widely deployed in real-time embedded systems. In such systems, soft-error reliability (caused by transient faults) and lifetime reliability (caused by permanent faults) are both imperative design concerns. Most existing work considers only one of the two classes of faults. Unfortunately, techniques that increase one may adversely impact the other. Achieving high overall reliability requires a trade-off of soft-error reliability and lifetime reliability. In this chapter, we first introduce concepts and models associated with the two reliability metrics, then present two techniques that optimize them separately. Finally, we show how to make appropriate trade-offs using two case studies involving “big–little” type MPSoCs and CPU–GPU integrated MPSoCs.


1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.


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