Orca is a language for implementing parallel applications on loosely coupled distributed
systems. Unlike most languages for distributed programming, it allows processes on …

This book discusses a new model for implementing user applications on distributed systems.
The proposed model, called the shared data-object model, intends to ease distributed …

Until recently, at least one thing was clear about parallel programming: shared-memory
machines were programmed in a language based on shared variables and distributed …

Orca is a language for parallel programming on distributed systems. Communication in Orca
is based on shared data-objects, which is a form of distributed shared memory. The …

Extending a result of Vassilevich, we obtain the asymptotic expansion for the trace of a
spatially regularized heat operator L Θ (f) e− t Δ Θ⁠, where Δ Θ is a generalized Laplacian …

Surveys consistency criteria that have been proposed, and sometimes implemented, for
distributed shared objects and memories. Linearizability, sequential consistency, hybrid …

We present a simple model of shared data-objects, which extends the abstract data type
model to support distributed programming. Our model essentiall y provides shared address …

Two paradigms for distributed shared memory on loosely‐coupled computing systems are
compared: the shared data‐object model as used in Orca, a programming language …

Traditional resource management techniques that rely on simple heuristics often fail to
achieve predictable performance in contemporary complex systems that span physical …

Big Data promises new scientific discovery and economic value. Genetic algorithms (GAs)
have proven their flexibility in many application areas and substantial research effort has …