The Partitioned Global Address Space (PGAS) model is a parallel programming model that
aims to improve programmer productivity while at the same time aiming for high …

Memory-intensive applications suffer large performance loss when their working sets do not
fully fit in memory. Yet, they cannot leverage otherwise unused remote memory when paging …

Scalable computing will, over the next few years, become the normal form of computing. In
this paper we present a unified framework, based on the BSP model, which aims to serve as …

Cyber-Physical Systems (CPS) are integrations of computation and physical processes.
Embedded computers and networks monitor and control the physical processes, usually …

It is now well established that the device scaling predicted by Moore's Law is no longer a
viable option for increasing the clock frequency of future uniprocessor systems at the rate …

The most exciting development in parallel computer architecture is the convergence of
traditionally disparate approaches on a common machine structure. This book explains the …

Innovations in hardware architecture, like hyper-threading or multicore processors, make
parallel computing resources available for inexpensive desktop computers. However, the …

For concurrent programming to become mainstream, we must discard threads as a
programming model. Nondeterminism should be judiciously and carefully introduced where …

We present a new model of parallel computation—the LogGP model—and use it to analyze
a number of algorithms, most notably, the single node scatter (one-to-all personalized …

We present Grappa, a modern take on software distributed shared memory (DSM) for in-
memory data-intensive applications. Grappa enables users to program a cluster as if it were …