Exploració per tema "Computer crashes"

Ara es mostren els items 1-5 de 5

    • Characterizing performance and energy-efficiency of the RAMCloud storage system 

      Taleb, Yacine; Ibrahim, Shadi; Antoniu, Gabriel; Cortés, Toni (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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      Most large popular web applications, like Facebook and Twitter, have been relying on large amounts of in-memory storage to cache data and offer a low response time. As the main memory capacity of clusters and clouds ...

    • Designing and modelling selective replication for fault-tolerant HPC applications 

      Subasi, Omer; Yalcin, Gulay; Zyulkyarov, Ferad; Unsal, Osman Sabri; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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      Fail-stop errors and Silent Data Corruptions (SDCs) are the most common failure modes for High Performance Computing (HPC) applications. There are studies that address fail-stop errors and studies that address SDCs. However ...

    • Evaluating built-in ECC of FPGA on-chip memories for the mitigation of undervolting faults 

      Salami, Behzad; Unsal, Osman Sabri; Cristal Kestelman, Adrián (Institute of Electrical and Electronics Engineers (IEEE), 2019)
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      Voltage underscaling below the nominal level is an effective solution for improving energy efficiency in digital circuits, e.g., Field Programmable Gate Arrays (FPGAs). However, further undervolting below a safe voltage ...

    • Fuse: A technique to anticipate failures due to degradation in ALUs 

      Abella Ferrer, Jaume; Vera Rivera, Francisco Javier; Unsal, Osman Sabri; Ergin, Oguz; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2007)
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      This paper proposes the fuse, a technique to anticipate failures due to degradation in any ALU (arithmetic logic unit), and particularly in an adder. The fuse consists of a replica of the weakest transistor in the adder ...

    • Predicting software anomalies using machine learning techniques 

      Alonso López, Javier; Belanche Muñoz, Luis Antonio; Avresky, Dimiter (IEEE Computer Society Publications, 2011)
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      In this paper, we present a detailed evaluation of a set of well-known Machine Learning classifiers in front of dynamic and non-deterministic software anomalies. The system state prediction is based on monitoring system ...