Although microarrays are already having a tremendous impact on biomedical science, they still present great computational challenges. We examine a particular problem involving the...
Tom Van Court, Martin C. Herbordt, Richard J. Bart...
As reconfigurable computing hardware and in particular FPGA-based systems-on-chip comprise an increasing number of processor and accelerator cores, supporting sharing and synchroni...
Martin Labrecque, Mark Jeffrey, J. Gregory Steffan
—Partial Reconfiguration (PR) of FPGAs presents many opportunities for application design flexibility, enabling tasks to dynamically swap in and out of the FPGA without entire sy...
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
Pipelining of data path structures increases the throughput rate at the expense of enlarged resource usage and latency unless architectures optimized towards specific applications...