Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Main memory latencies have always been a concern for system performance. Given that reads are on the critical path for CPU progress, reads must be prioritized over writes. However...
Drawn from empirical studies on spatial cognition, this work explores ways of dynamically integrating others' perspectives and incorporating different views into a single int...
This paper describes the research of parametric and procedural modeling techniques associated with digital fabrication and form-finding within architectural design. The outcome of...