We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
This work deals with the design of analog circuits for Artificial Neural Networks (ANNs) controllers using an Evolvable Hardware (EHW) platform. ANNs are massively parallel system...
In this paper, fundamental conditions which bound the network processing unit (NPU) worst-case performance are established. In particular, these conditions formalize and integrate...
Modern network processors support high levels of parallelism in packet processing by supporting multiple threads that execute on a micro-engine. Threads switch context upon encoun...
R. Collins, Fernando Alegre, Xiaotong Zhuang, Sant...
As semiconductor feature sizes decrease, interconnect delay is becoming a dominant component of processor cycle times. This creates a critical need to shift microarchitectural des...