The central contribution of this work is SAMBA (S ingle A pplication, M ultiple Load Ba
lancing), a framework for the development of parallel SPMD (single program, multiple data) …

We present a global optimization strategy that incorporates predicted restraints in both a
local optimization context and as directives for global optimization approaches, to predict …

A mobile computing system consists of mobile and stationary nodes. Checkpointing in
mobile systems faces many new challenges, such as low wireless bandwidth, frequent …

Clusters of symmetric multiprocessors (SMPs) are popular platforms for parallel
programming since they provide large computational power for a reasonable price. For …

In this paper, we present a new, easy to implement algorithm for detecting the termination of
a parallel asynchronous computation on distributed-memory MIMD computers. We …

We describe a new load-balancing strategy, applied here to the protein structure prediction
problem, for improving the efficiency of the hierarchical approach when dealing with coarse …

We discuss the parallelization of our protein structure prediction algorithm on distributed-
memory computers. Because the computation can be represented as a search through a …

This work describes SAMBA, a framework for the development of parallel SPMD
applications with load balancing. SAMBA contains the structure common to different SPMD …

Task pools can be used to achieve the dynamic load balancing that is required for an
efficient parallel implementation of irregular applications. However, the performance strongly …

Programming models are useful programming tools because they allow the recognition of
patterns that are common to many applications and that are not committed to any particular …