An analysis of algorithm-based fault tolerance techniques
Journal of Parallel and Distributed Computing
Real-Number Codes for Fault-Tolerant Matrix Operations on Processor Arrays
IEEE Transactions on Computers
Algorithmic fault tolerance using the Lanczos method
SIAM Journal on Matrix Analysis and Applications
Multiple Error Correction with Analog Codes
AAECC-6 Proceedings of the 6th International Conference, on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Efficient algorithms for burst error recovery using FFT and othertransform kernels
IEEE Transactions on Signal Processing
Coding approaches to fault tolerance in linear dynamic systems
IEEE Transactions on Information Theory
Optimal real number codes for fault tolerant matrix operations
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Constructing numerically stable real number codes using evolutionary computation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Algorithm-based recovery for iterative methods without checkpointing
Proceedings of the 20th international symposium on High performance distributed computing
Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming
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Error correction codes defined over real-number field have been studied and recognized as useful in many applications. However, most real-number codes in literature are quite suspect in their numerical stability. In this paper, we introduce a class of real-number codes based on random generator matrices over real-number fields. Codes over complex-number field are also discussed. Experiment results demonstrate our codes are numerically much more stable than existing codes in literature.