We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
- This paper studies the routing problem for a new Field-Programmable Gate Array (FPGA) and Field-Programmable Interconnect Chip (FPIC) routing architecture which improves upon the...
— Y -interconnects for VLSI chips are based on the use of global and semi-global wiring in only 0◦ , 60◦ , and 120◦ . Though X-interconnects are fast replacing the traditio...
We propose practical iterated methods for layout density control for CMP uniformity, based on linear programming, Monte-Carlo and greedy algorithms. We experimentally study the tr...
Yu Chen, Andrew B. Kahng, Gabriel Robins, Alexande...