Knowledge processing is very demanding on computer architectures. Knowledge processing generates subcomputation paths at an exponential rate. It is memory intensive and has high c...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
We developed a multithreaded parallel implementation of a sequence alignment algorithm that is able to align whole genomes with reliable output and reasonable cost. This paper pres...
Juan del Cuvillo, Xinmin Tian, Guang R. Gao, Milin...
Dataflow synchronous languages have attracted considerable interest in domains such as real-time control and hardware design. The potential benefits are promising: Discrete-time...
Apply is a Domain-Specific Language for image processing and low-level computer vision. Apply allows programmers to write kernel operations that focus on the computation for a sin...