Shoestring: probabilistic soft error reliability on the cheap

By Shuguang Feng, Shantanu Sen Gupta, Amin Ansari, Scott A. Mahlke. ASPLOS XV, 2010

298 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Software

View Paper: https://www.semanticscholar.org/paper/51327c46f6db01ab9bde8aad63ac7d5ba2b94066

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Pradip Bose
2. Subhasish G. Mitra
3. Sven Leyffer
4. Christian Engelmann
5. Andrew A. Chien
6. S. Keckler
7. Franck Cappello
8. Jon Stearley

In Electrical and Electronic Engineering

1. S. Keckler
2. Pradip Bose
3. Subhasish G. Mitra
4. Pedro C. Diniz
5. Joel S. Emer
6. Sarita V. Adve
7. Tushar Krishna
8. Vivienne Sze

Citations in the corpus

• Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications (2017, methodology): “This is in line with the definition used in other work [20, 26, 36, 59].”
• Addressing failures in exascale computing (2014, background): “The Shoestring project (Feng et al., 2010) has developed a pure static analysis that identifies instructions where faults are likely to be detected quickly enough (e.”