As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Boolean logic minimization is traditionally used in logic synthesis tools running on powerful desktop computers. However, logic minimization has recently been proposed for dynamic...
MorphoSys is a reconfigurable SIMD architecture. In this paper, a BSP-based ray tracing is gracefully mapped onto MorphoSys. The mapping highly exploits ray-tracing parallelism. A...
Haitao Du, Marcos Sanchez-Elez, Nozar Tabrizi, Nad...
Given the growth in application-specific processors, there is a strong need for a retargetable modeling framework that is capable of accurately capturing complex processor behavi...