Submissions are welcomed on high–performance parallel and distributed computing topics<br>including but not limited to: clouds, clusters, grids, Big Data, massively multicore,<br>and global–scale computing systems. New scholarly research showing empirical and<br>reproducible results in architectures, systems, and networks is strongly encouraged,<br>as are experience reports of operational deployments that can provide insights for<br>future research on HPDC applications and systems. All papers will be evaluated for<br>their originality, technical depth and correctness, potential impact, relevance to the<br>conference, and quality of presentation. Research papers must clearly demonstrate<br>research contributions and novelty, while experience reports must clearly describe<br>lessons learned and demonstrate impact.<br>In the context of high–performance parallel and distributed computing, the topics of<br>interest include, but are not limited to:<br>o Systems, networks, and architectures for high–end computing<br>o Massively multicore systems<br>o Resource virtualization<br>o Programming languages and environments<br>o I/O, storage systems, and data management<br>o Resource management and scheduling, including energy–aware techniques<br>o Performance modeling and analysis<br>o Fault tolerance, reliability, and availability<br>o Data–intensive computing<br>o Applications of parallel and distributed computing<br>
Abbrevation
HPDC
City
VancouverB.C.
Country
Canada
Deadline Paper
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Abstract