Titlebook: Euro-Par 2018: Parallel Processing Workshops; Euro-Par 2018 Intern Gabriele Mencagli,Dora B. Heras,Stephen L. Scott Conference proceedings

闡明

Getting Started with CAPI SNAP: Hardware Development for Software Engineerscts of the novel hardware development framework. This paper provides background and instructions for mastering the first steps of hardware development using the CAPI SNAP framework. The insights reported in this paper are based on the experiences of software engineering students with little to no prior knowledge about hardware development.

Pander

專橫

https://doi.org/10.1007/978-3-322-90038-8erance mechanisms of Flink during regular operation (when there are no failures) on a distributed system and the impact on performance when there are failures. We use the Intel HiBench for conducting the evaluation.

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Autonomic and Latency-Aware Degree of Parallelism Management in SPary of the application, in this work we propose an autonomic and adaptive strategy to choose the proper number of replicas in SPar to address latency constraints. We experimentally evaluated our implemented strategy and demonstrated its effectiveness on a real-world application, demonstrating that our

猛然一拉

A Multi-level Elasticity Framework for Distributed Data Stream Processingentralized managers oversee the overall application and infrastructure adaptation. We have integrated the proposed solution into Apache Storm, relying on a previous extension we developed, and conducted an experimental evaluation. It shows that, even with simple control policies, E2DF can improve re

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斜坡

A Methodology for Handling Data Movements by Anticipation: Position Papererences of both communication types are reduced by adding geometric constraints on the allocation of tasks into machines. The proposed constraints reduce implicitly the data movements by restricting the set of possible allocations for each task. This methodology has been proved to be efficient in a

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NUMAPROF, A NUMA Memory Profilerd interface, the tool also provides hints about unpinned memory accesses (unpinned thread or unpinned page) which can help the developer find portion of codes not safely handling the NUMA binding. The tool also provides dedicated metrics to track access to MCDRAM of the Intel Xeon Phi codenamed Knig

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https://doi.org/10.1007/978-3-662-26254-2y of the application, in this work we propose an autonomic and adaptive strategy to choose the proper number of replicas in SPar to address latency constraints. We experimentally evaluated our implemented strategy and demonstrated its effectiveness on a real-world application, demonstrating that our

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