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Exascale performance will be delivered by systems composed of millions of interconnected computing cores. The way these computing elements are connected with each other (network topology) has a strong impact on many performance characteristics. In this work we propose a multi-objective optimization-based framework to explore possible network topologies to be implemented in the EU-funded ExaNeSt project...
We propose a remapping algorithm to tolerate the failures of Processing Elements (PEs) on Multiprocessor System-on-Chip. A new graph modeling is proposed to precisely define the increase of communication cost among PEs after remapping. Our method can be used not only to repair faults but also to improve the communication cost of given initial mapping results. Experimental results show that under multiple...
Server-centric data center networks enable several important features of modern data center applications, such as cloud storage and big data processing. However, network failures are ubiquitous and significantly affect network performance, such as routing correctness and network bandwidth. Existing server-centric data centers do not provide specific fault-tolerance mechanisms to recover the network...
Data center networks (DCNs) are inherently failure-prone owing to the existence of many links, switches and servers. Many times the failures of the components may be correlated resulting a set of connected components failing together. This correlated failure behaviour could be captured through the use of fault regions [1]. This paper explores the effect of such failures in DCNs, using four topologies,...
As the number of processors embedded in high performance computing platforms becomes higher and higher, it is vital to force the developers to enhance the scalability of their codes in order to exploit all the resources of the platforms. This often requires new algorithms, techniques and methods for code development that add to the application code new properties: the presence of faults is no more...
Recently, Wireless Sensor and Actor Networks have been receiving a growing attention from the research community because of their suitability for critical applications. Maintaining inter-actor connectivity becomes extremely crucial in such situations where actors have to quickly plan optimal coordinated response to detected events. Failure of critical actor partitions the inter-actor network into...
One of the most challenging problems in P2P computing is the difficulty of locating content in an efficient and scalable way. The structured P2P overlay is unsuitable for dynamic environments because users come from non-cooperating organizations with highly dynamic joining and leaving. Unstructured systems are designed more specifically for the heterogeneous Internet environment, where the nodespsila...
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