Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
For the next generation of multi-core processors, the onchip interconnection networks must be efficient to achieve high data throughput and performance. Moreover, these interconne...
Henrique C. Freitas, Philippe Olivier Alexandre Na...
Many parallel applications from scientific computing use MPI global communication operations to collect or distribute data. Since the execution times of these communication opera...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
As high performance clusters continue to grow in size, the mean time between failure shrinks. Thus, the issues of fault tolerance and reliability are becoming one of the challengi...