This work presents a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center, that is faster tha...
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nic...
A critical aspect of global ebusiness information technology (IT) governance is ensuring that it is integrated and that it enables economic viability of a company. Poorly thought ...
We develop an efficient algorithm to track point features supported by image patches undergoing affine deformations and changes in illumination. The algorithm is based on a combin...
In this paper, we have developed an operational semantic framework for a non-trival subset of Verilog which features event–driven computation, shared variable concurrency. The b...
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...