The low cost and wide availability of networks of workstations have made them an attractive solution for high performance computing. However, while a network of workstations may be...
Many irregular scientific computing problems can be modeled by directed acyclic task graphs (DAGs). In this paper, we present an efficient run-time system for executing general as...
High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specific...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
This paper presents a technique to map automatically a complete digital signal processing (DSP) application onto a parallel machine with distributed memory. Unlike other applicati...