Software persistent memory Conference

Guerra, J, Mármol, L, Campello, D et al. (2019). Software persistent memory . 319-331.

cited authors

  • Guerra, J; Mármol, L; Campello, D; Crespo, C; Rangaswami, R; Wei, J

abstract

  • Persistence of in-memory data is necessary for many classes of application and systems software. We propose Software Persistent Memory (SoftPM), a new memory abstraction which allows malloc style allocations to be selectively made persistent with relative ease. Particularly, SoftPM's persistent containers implement automatic, orthogonal persistence for all in-memory data reachable from a developer-defined root structure. Writing new applications or adapting existing applications to use SoftPM only requires identifying such root structures within the code. We evaluated the correctness, ease of use, and performance of SoftPM using a suite of microbenchmarks and real world applications including a distributed MPI application, SQLite (an in-memory database), and memcachedb (a distributed memory cache). In all cases, SoftPM was incorporated with minimal developer effort, was able to store and recover data successfully, and provide significant performance speedup (e.g., up to 10X for memcachedb and 83% for SQLite).

publication date

  • January 1, 2019

International Standard Book Number (ISBN) 13

start page

  • 319

end page

  • 331