Abstract. Although there are numerous publications on amygdala volumetry, so far there has not been many studies on modeling local amygdala surface shape variations in a rigorous f...
Moo K. Chung, Brendon M. Nacewicz, Shubing Wang, K...
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
This paper presents a new approach for the execution of coarse-grain (tiled) parallel SPMD code for applications derived from the explicit discretization of 2-dimensional PDE prob...
Georgios I. Goumas, Nikolaos Drosinos, Vasileios K...
This paper presents the design and the implementation of a compiler and runtime infrastructure for automatic program distribution. We are building a research infrastructure that e...
Roxana Diaconescu, Lei Wang, Zachary Mouri, Matt C...
Clustered machines partition hardware resources to circumvent the cycle time penalties incurred by large, monolithic structures. This partitioning introduces a long inter-cluster ...