Communications of the ACM
Research Archive
The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
February 2011
From Communications of the ACM
Technical Perspective: Markov Meets Bayes
The history of probabilistic sequence models dates back to Markov at the turn of the last century. Though informed by decades of research, current practices are still something…
From Communications of the ACM
DRAM Errors in the Wild: A Large-Scale Field Study
While a large body of work exists on DRAM in lab conditions, little has been reported on real DRAM failures in large production clusters. In this paper, we analyze measurements of memory errors in a large fleet of commodity servers…
From Communications of the ACM
Technical Perspective: DRAM Errors in the Wild
In order to advance the field, knowledge of the types of memory errors at the system level, their frequencies, and conditions that exacerbate or are unrelated to higher error rates are of critical importance.
From Communications of the ACM
The Sequence Memoizer
The sequence memoizer is a new hierarchical Bayesian model for discrete sequence data that captures long range dependencies and power-law characteristics, while remaining computationally attractive.