The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...
The widening gap between processor and memory speeds renders data locality optimization a very important issue in data-intensive embedded applications. Throughout the years hardwa...
Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhar...
We present Repo-3D, a general-purpose, object-oriented library for developing distributed, interactive 3D graphics applications across a range of heterogeneous workstations. Repo-...
The elevation function on a smoothly embedded 2-manifold in R3 reflects the multiscale topography of cavities and protrusions as local maxima. The function has been useful in iden...