UNLABELLED READSCAN is a highly scalable parallel program to identify non-host sequences (of potential pathogen origin) and estimate their genome relative abundance in high-throughput sequence datasets. READSCAN accurately classified human and viral sequences on a 20.1 million reads simulated dataset in <27 min using a small Beowulf compute cluster with 16 nodes (Supplementary Material). AVAI...

HeteroSort load balances and sorts within static or dynamic networks using a conceptual torus mesh. We ported HeteroSort to a 16-node Beowulf cluster with a central switch architecture. By capturing global system knowledge in overlapping microregions of nodes, HeteroSort is useful in data dependent applications such as data information fusion on distributed processors.

The computational solution of large-scale linear systems of equations necessitates the use of fast algorithms but is also greatly enhanced by employing parallelization techniques. The objective of this work is to demonstrate the speedup achieved by the MPI (Message Passing Interface) parallel implementation of the Steepest Descent Fast Multipole Method (SDFMM). Although this algorithm has alrea...

Adaptive Resonance theory was introduced by Grossberg to address the stability versus plasticity dilemma. That is, how can one design a learning system that is plastic enough to learn new information, and at the same time stable enough not to forget old, important information that it has already learned. In the past two decades a number of ART neural network architectures were introduced in the...