Electronic Resource
Predictive reliability and fault management in exascale systems: State of the art and perspectives
| العنوان: | Predictive reliability and fault management in exascale systems: State of the art and perspectives |
|---|---|
| المؤلفون: | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. VIRTUOS - Virtualisation and Operating Systems, Canal Corretger, Ramon, Hernández Luz, Carles, Tornero Gavilá, Rafael, Cilardo, Alessandro, Massari, Giuseppe, Reghenzani, Federico, Fornaciari, William, Zapater Sancho, Marina, Atienza, David, Oleksiak, Ariel, Wojciech Piatek, Poznan, Abella Ferrer, Jaume |
| بيانات النشر: | 2020-09 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Performance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, due to the exponential increase in the number of devices per chip, to higher system fault rates. Consequently, High-performance Computing (HPC) systems need to integrate prediction, detection, and recovery mechanisms to cope with faults efficiently. This article reviews fault detection, fault prediction, and recovery techniques in HPC systems, from electronics to system level. We analyze their strengths and limitations. Finally, we identify the promising paths to meet the reliability levels of Exascale systems. This work has received funding from the European Union’s Horizon 2020 (H2020) research and innovation program under the FET-HPC Grant Agreement No. 801137 (RECIPE). Jaume Abella was also partially supported by the Ministry of Economy and Competitiveness of Spain under Contract No. TIN2015-65316-P and under Ramon y Cajal Postdoctoral Fellowship No. RYC-2013-14717, as well as by the HiPEAC Network of Excellence. Ramon Canal is partially supported by the Generalitat de Catalunya under Contract No. 2017SGR0962. Peer Reviewed Postprint (author's final draft) |
| مصطلحات الفهرس: | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, High performance computing, Fault location (Engineering), Semiconductors, HPC, Supercomputing, Exascale, Reliability, Prediction, Survey, Faults, Failures, Superordinadors, Article |
| URL: | info:eu-repo/grantAgreement/EC/H2020/801137/EU/REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems/RECIPE info:eu-repo/grantAgreement/MINECO//RYC-2013-14717/ES/RYC-2013-14717 |
| الاتاحة: | Open access content. Open access content Open Access |
| ملاحظة: | application/pdf English |
| Other Numbers: | HGF oai:upcommons.upc.edu:2117/330352 Canal, R. [et al.]. Predictive reliability and fault management in exascale systems: State of the art and perspectives. "ACM computing surveys", Setembre 2020, vol. 53, núm. 5, p. 95:1-95:32. 0360-0300 10.1145/3403956 1224047827 |
| المصدر المساهم: | UNIV POLITECNICA DE CATALUNYA From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1224047827 |
| قاعدة البيانات: | OAIster |
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