Cloud computing has emerged as a promising environment capable of providing flexibility, scalability, elasticity, failover mechanisms, high availability, and other important feat...
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Abstract—Capacity scaling laws offer fundamental understanding on the trend of user throughput behavior when the network size increases. Since the seminal work of Gupta and Kumar...
Canming Jiang, Yi Shi, Y. Thomas Hou, Wenjing Lou,...
Loop pipelining is a critical transformation in behavioral synthesis. It is crucial to producing hardware designs with acceptable latency and throughput. However, it is a complex ...
Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To under...
Alex L. B. Leach, James P. J. Chong, Kelly R. Rede...