Prof. Daniel Hendler

Know all about my research

Recoverable and Detectable Fetch&Add

Liad Nahum, Hagit Attiya, Ohad Ben-Baruch, Danny Hendler

The emergence of systems with non-volatile main memory (NVRAM) increases the need for persistent concurrent objects. Of specific interest are recoverable implementations that, in addition to being robust to crash-failures, are also detectable. Detectability ensures that upon recovery, it is possible to infer whether the failed operation took effect or not and, in the former case, obtain its response. This work presents two recoverable detectable Fetch&Add (FAA) algorithms that are self-implementations, i.e, use only a fetch&add base object, in addition to read/write registers. The algorithms target two different models for recovery: the global-crash model and the individual-crash model. In both algorithms, operations are wait-free when there are no crashes, but the recovery code may block if there are repeated failures. We also prove that in the individual-crash model, there is no implementation of recoverable and detectable FAA using only read, write and fetch&add primitives in which all operations, including recovery, are lock-free.

Publication language English
Publication status Published - 01.02.2022
29

Keywords

Multi-core algorithms
Non-volatile memory
Persistent memory

ASJC Scopus subject areas

Software