SWIFT: software implemented fault tolerance
By George A. Reis, Jonathan T.-Y. Chang, Neil Vachharajani, Ram Rangan, David I. August. International Symposium on Code Generation and Optimization, 2005
811 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/8b41ca5d078d47bef6415334e97d383fa907549a
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In Computer Networks and Communications
- Pradip Bose
- Subhasish G. Mitra
- Sven Leyffer
- Christian Engelmann
- Andrew A. Chien
- Scott A. Mahlke
- Franck Cappello
- Jon Stearley
In Electrical and Electronic Engineering
- Pradip Bose
- Subhasish G. Mitra
- Scott A. Mahlke
- Frank Piessens
- Pedro C. Diniz
- Daniel Gruss
- Shuguang Feng
- Shantanu Sen Gupta
In Hardware and Architecture
- Pradip Bose
- Subhasish G. Mitra
- Christian Engelmann
- Scott A. Mahlke
- Franck Cappello
- Frank Piessens
- Daniel Gruss
- Shuguang Feng
Citations in the corpus
- Shoestring: probabilistic soft error reliability on the cheap (2010, methodology): “5 The overheads we cite from SWIFT [25] are conservative considering they targeted a wide VLIW machine and would incur substantially more overhead given a less overprovisioned processor.”
- Addressing failures in exascale computing (2014, background): “” Critical computations can be executed twice (and the redundancy can be introduced automatically by a compiler [133, 163]); more reliable memory may be used for more sensitive data; and so forth.”
- Plundervolt: Software-based Fault Injection Attacks against Intel SGX (2020, background): “For instance, Oh et al. [52] and later Reis et al. [56] proposed duplicating the instruction stream to produce software that is tolerant against hardware-induced faults.”