Low Complexity Concurrent Error Detection for Complex Multiplication

Pontarelli, Salvatore; Reviriego, Pedro; Bleakley, Chris J.; Maestro, Juan Antonio

doi:10.1109/tc.2012.246

Cited by 11 publications

(1 citation statement)

References 17 publications

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“…Roll-forward methods ensure result recovery from the functioning processor cores without recomputation when fail-stop failures or SDCs are detected in the system. Examples include: forward error recovery (FER) methods that recover the lost data from pre-established (and stored) input data checksum relationships without repeating computations [20]- [23], algorithm based fault tolerance [24] [25] and dual modular redundancy (DMR) [14], [26] or similar techniques [27] [28] [29]. Computations examined in such proposals include matrix products [20], matrix factorization [30], digital filters [25] and iterative solvers [31].…”

Section: A Summary Of Prior Workmentioning

confidence: 99%

Generalized Numerical Entanglement for Reliable Linear, Sesquilinear and Bijective Operations on Integer Data Streams

Anam

Anarado

Andreopoulos

2018

IEEE Trans. Emerg. Topics Comput.

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We propose a new technique for the mitigation of fail-stop failures and/or silent data corruptions (SDCs) within linear, sesquilinear or bijective (LSB) operations on M integer data streams (M C 3). In the proposed approach, the M input streams are linearly superimposed to form M numerically entangled integer data streams that are stored in-place of the original inputs, i.e., no additional (aka. "checksum") streams are used. An arbitrary number of LSB operations can then be performed in M processing cores using these entangled data streams. The output results can be extracted The authors are with the Electronic and Electrical Engineer

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