Dynamic optimization has the potential to adapt the program’s behavior at run-time to deliver performance improvements over static optimization. Dynamic optimization systems usu...
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
To meet the demand for more powerful high-performance shared-memory servers, multiprocessor systems must incorporate efficient and scalable cache coherence protocols, such as thos...