- This paper describes a new architectural paradigm for fully connected, single-hop system level interconnection networks. The architecture is scalable enough to meet the needs of ...
Kelli Ireland, Donald M. Chiarulli, Steven P. Levi...
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
Region-based compilation repartitions a program into more desirable compilation units for optimization and scheduling, particularly beneficial for ILP architectures. With region-...
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
Recent I/O technologies such as PCI-Express and 10Gb Ethernet enable unprecedented levels of I/O bandwidths in mainstream platforms. However, in traditional architectures, memory ...