The Merrimac supercomputer uses stream processors and a highradix network to achieve high performance at low cost and low power. The stream architecture matches the capabilities o...
Mattan Erez, Jung Ho Ahn, Ankit Garg, William J. D...
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We ...
Abstract— We analyze the performance of likelihoodbased approaches used to reconstruct phylogenetic trees. Unlike other techniques such as Neighbor-Joining (NJ) and Maximum Parsi...