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Cloud computing offers sufficient computing and storage resources that can be used to provide multimedia services. Migrating the existing multimedia service to cloud brings a new challenging issue, i.e., remote display of video contents. To reduce the bandwidth consumption especially for mobile users, it is desired to encode video before sending to client. Existing encoding methods have unique advantages...
Exascale computing systems are soon to emerge, which will pose great challenges on the huge gap between computing and I/O performance. Many large-scale scientific applications play an important role in our daily life. The huge amounts of data generated by such applications require highly parallel and efficient I/O management policies. In this paper, we adopt a mission-critical scientific application,...
Large scale scientific applications are often bottlenecked due to the writing of checkpoint-restart data. Much work has been focused on improving their write performance. With the mounting needs of scientific discovery from these datasets, it is also important to provide good read performance for many common access patterns, which requires effective data organization. To address this issue, we introduce...
Noncontiguous I/O access is one of the main access patterns in parallel and distributed applications. An I/O architecture EXIO enables Globus, a popular run-time environment for distributed computing, on RDMA networks such as InfiniBand. In this paper, we investigate the benefits of InfiniBand zero-copy RDMA to noncontiguous I/O on Globus. Our experimental results demonstrate that, by enabling zero-copy...
The Hyper-Threading Technology introduced by Intel makes one physical processor appear as two logical processors with duplicated architecture state and shared system resources. From microarchitecture perspective, instructions from both logical processes will execute simultaneously by competing shared resources. This paper proposes a novel Generalized Stochastic Petri Nets (GSPN) model for the Hyper-Threading...
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