Self-adjusting computation provides an evaluation model where computations can respond automatically to modifications to their data by using a mechanism for propagating modifica...
Umut A. Acar, Guy E. Blelloch, Ruy Ley-Wild, Kanat...
The problem attacked in this paper is one of automatically mapping an application onto a Network-on-Chip (NoC) based chip multiprocessor (CMP) architecture in a locality-aware fas...
Guangyu Chen, Feihui Li, Seung Woo Son, Mahmut T. ...
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
The use of web applications has become increasingly popular in our routine activities, such as reading the news, paying bills, and shopping on-line. As the availability of these s...
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...