DAPPER: a database-inspired approach to persistent memory
Marcelo Silva Cintra, Andreas Chatzistergiou, Arpit Joshi, Vijayanand Nagarajan, Stratis D. Viglas · Edinburgh Research Explorer (University of Edinburgh) · 2015
Persistent memory collapses the boundaries between the in memory and secondary storage representations of data structures,and enables the programmer to process data directly from an imperative run time. We present the early results of the DAPPER project, which takes a database-inspired approach to persistent memory. It supports recoverable data structures in persistent memory at the imperative language level, algorithms optimized for the performance characteristics of the new medium and a run time to support them, and workload-driven adaptive data placement.