Scientific visualization applications are very dataintensive, with high demands for I/O and data management. Developers of many visualization tools hesitate to use traditional DBM...
Xiaosong Ma, Marianne Winslett, John Norris, Xiang...
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...
We recently proposed a new approach to parallelization, by decomposing the time domain, instead of the conventional space domain. This improves latency tolerance, and we demonstrat...
Automatic parallelization of general-purpose programs is still not possible in general in the presence of irregular data structures and complex control-flows. One promising strate...
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...