Current multi-/many-core systems spend large amounts of time and power transmitting data
across on-chip interconnects. This problem is aggravated when data-intensive applications …

Current multi/many-core systems spend large amounts of time and power transmitting data
across on-chip interconnects. This problem is aggravated when data-intensive applications …

Approximate communication is being seriously considered as an effective technique for
reducing power consumption and improving the communication efficiency of network-on …

Approximate computing constitutes a paradigm in which accuracy is exchanged for
enhanced energy efficiency when contrasted with conventional computing methodologies …

The on-chip network, commonly known as network-on-chip (NoC) on a die as an alternate
prevalent interconnection infrastructure, has been continuously occupying the space of …

In this paper, we propose a runtime configurable approximate computing (RCAC) system for
simulated annealing (SA) algorithm. The RCAC system integrates a configurable …

The energy consumption limits the application performance in a wide range of scenarios,
ranging from embedded to High-Performance Computing. To improve computation …

Neural networks are increasingly used in recognition, mining and autonomous driving.
However, for safety-critical applications, such as autonomous driving, the reliability of NN is …