Safety of Deferred Update in Transactional Memory

Transactional memory allows the user to declare sequences of instructions as speculative \emph{transactions} that can either \emph{commit} or \emph{abort}. If a transaction commits, it appears to be executed sequentially, so that the committed transactions constitute a correct sequential execution. If a transaction aborts, none of its instructions can affect other transactions. The popular criterion of \emph{opacity} requires that the views of aborted transactions must also be consistent with the global sequential order constituted by committed ones. This is believed to be important, since inconsistencies observed by an aborted transaction may cause a fatal irrecoverable error or waste of the system in an infinite loop. Intuitively, an opaque implementation must ensure that no intermediate view a transaction obtains before it commits or aborts can be affected by a transaction that has not started committing yet, so called \emph{deferred-update} semantics. In this paper, we intend to grasp this intuition formally. We propose a variant of opacity that explicitly requires the sequential order to respect the deferred-update semantics. We show that our criterion is a safety property, i.e., it is prefix- and limit-closed. Unlike opacity, our property also ensures that a serialization of a history implies serializations of its prefixes. Finally, we show that our property is equivalent to opacity if we assume that no two transactions commit identical values on the same variable, and present a counter-example for scenarios when the "unique-write" assumption does not hold

A Cloud Powered Relaxed Heterogeneous Distributed Shared Memory System

Distributed systems allow the existence of impressive pieces of software, but usually impose strict restrictions on the implementation language and model. We propose a distribution system model that enables the incorporation of any hardware device connected to the internet as its nodes, and places no restriction on the execution engine, allowing the transparent incorporation of any existing codebase into a Distributed Shared Memory.XIX Workshop Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI