Data speculative optimization refers to code transformations that allow load and store instructions to be moved across potentially dependent memory operations. Existing research w...
This paper presents a new operation chaining reconfigurable scheduling algorithm (CRS) based on list scheduling that maximizes instruction level parallelism available in distribut...
Ying Yi, Ioannis Nousias, Mark Milward, Sami Khawa...
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
In many of embedded systems, particularly for those with high data computations, the delay of memory access is one of the major bottlenecks in the system's performance. It ha...