Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
As the scale and complexity of VLSI circuits increase, Electronic Design Automation (EDA) tools become much more sophisticated and are held to increasing standards of quality. New...
As computational clusters increase in size, their mean-time-to-failure reduces. Typically checkpointing is used to minimize the loss of computation. Most checkpointing techniques, ...
We present the design of a distributed store that offers various levels of security guarantees while tolerating a limited number of nodes that are compromised by an adversary. The...
Subramanian Lakshmanan, Mustaque Ahamad, H. Venkat...