Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Several features such as reconfiguration, voltage and frequency scaling, low-power operating states, duty-cycling, etc. are exploited for latency and energy efficient application ...
With the complexity of applications, researchers need more resources to resolve their computation. It is very important to provide the general interface to access the distributed r...
Volunteer-based grid computing resources are characteristically volatile and frequently become unavailable due to the autonomy that owners maintain over them. This resource volati...
Many System-on-a-Chip devices would benefit from the inclusion of reprogrammable logic on the silicon die, as it can add general computing ability, provide run-time reconfigurabil...