Projected computational requirements for future space missions are outpacing technologies and trends in conventional embedded microprocessors. In order to meet the necessary levels...
Adam Jacobs, Grzegorz Cieslewski, Casey Reardon, A...
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
This paper presents the concepts of switching in the Time-Triggered Network-on-Chip (TTNoC), which is the communication subsystem of the Time-Triggered Systemon-Chip (TTSoC) archi...
This work shows a modular architecture based on FPGA's to solve the eigenvalue problem according to the Jacobi method. This method is able to solve the eigenvalues and eigenv...