A new technical paper titled “Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference” was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J.
Abstract: The noisy shuffling channel models the conditions encountered in DNA storage systems, where transmitted data segments experience random permutation and substitution errors. Reliable ...
Abstract: This paper addresses the issue of double burst errors occurring in memories and presents the design of corresponding error correction codes (ECC). The ...
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