Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...
Manos Papagelis, Ioannis Rousidis, Dimitris Plexou...
The probability that a failure will occur before the end of the computation increases as the number of processors used in a high performance computing application increases. For l...
Today’s scalable high-performance applications heavily depend on the bandwidth characteristics of their communication patterns. Contemporary multi-stage interconnection networks...
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 several ideas pertaining to desirable properties associated with protocols for moving large amounts of data over a grid of high performance computers. The pro...
Robert D. McLeod, Sajid Hussain, Sheng Huang, Mare...