Matches in SemOpenAlex for { <https://semopenalex.org/work/W2789849097> ?p ?o ?g. }
- W2789849097 endingPage "458" @default.
- W2789849097 startingPage "450" @default.
- W2789849097 abstract "In recent decades, the complexity of scientific and engineering problems has increased considerably. New applications and domains that use high performance computing systems have been introduced. These trends are projected to continue for the foreseen future (Reed and Dongarra, 2015) [1]. In many areas of engineering and science, High-Performance Computing (HPC) and Simulations have become determinants of industrial competitiveness and advanced research. In fact, advances in HPC architectures, storages, networking, and software capabilities are leading to a new era in HPC and simulations, along with new challenges both in computing and systems modeling (Geist and Lucas, 2009) [2]. These developments are especially critical considering that HPC systems continue to scale up in terms of nodes, cores, and accelerators, as well as software, infrastructure and tools, which in turn are expediting the move on the path toward Exascale (Reed and Dongarra, 2015; Geist and Lucas, 2009; Dongarra and Beckman, 2011; Dosanjh et al., 2014; Engelmann, 2014) [[1], [2], [3], [4], [5]]. Scalability and availability represent two of the main requirements that need to be considered before conceiving of these large-scale systems (ASCAC Subcommittee on Exascale Computing, 2010). The scalability feature allows the system to proportionately grow when service demand increases, whereas availability means the system continues to provide their services despite hardware and software failures (Theodoropoulos et al., 2014; Tang et al., 2014) [[7], [8]]. The goal in large-scale HPC is to accommodate both availability and scalability while staying under strict constraints on performance (e.g., processing time) and cost metrics (e.g., power consumption). This special issue is envisioned to provide examples of research work on topics related to recent advances in High Performance Computing and Simulations. It briefly addresses and explores challenges toward Exascale computing, current state-of-the-art in HPC and simulation, and the path forward in the domains of large-scale HPC systems." @default.
- W2789849097 created "2018-03-29" @default.
- W2789849097 creator A5022160194 @default.
- W2789849097 creator A5055899235 @default.
- W2789849097 creator A5056769696 @default.
- W2789849097 date "2018-05-01" @default.
- W2789849097 modified "2023-09-26" @default.
- W2789849097 title "On the road to exascale: Advances in High Performance Computing and Simulations—An overview and editorial" @default.
- W2789849097 cites W1485629949 @default.
- W2789849097 cites W1859126261 @default.
- W2789849097 cites W1992355839 @default.
- W2789849097 cites W1996439250 @default.
- W2789849097 cites W1997249820 @default.
- W2789849097 cites W1998062869 @default.
- W2789849097 cites W2037101212 @default.
- W2789849097 cites W2044570495 @default.
- W2789849097 cites W2050788236 @default.
- W2789849097 cites W2070289402 @default.
- W2789849097 cites W2088734805 @default.
- W2789849097 cites W2105524676 @default.
- W2789849097 cites W2131646073 @default.
- W2789849097 cites W2132729131 @default.
- W2789849097 cites W2133664509 @default.
- W2789849097 cites W2135296375 @default.
- W2789849097 cites W2157954477 @default.
- W2789849097 cites W2162462435 @default.
- W2789849097 cites W2286826637 @default.
- W2789849097 cites W2343394908 @default.
- W2789849097 cites W2372337397 @default.
- W2789849097 cites W2519948036 @default.
- W2789849097 cites W2522844027 @default.
- W2789849097 cites W2562684746 @default.
- W2789849097 cites W2564861836 @default.
- W2789849097 cites W2567180942 @default.
- W2789849097 cites W2570389246 @default.
- W2789849097 cites W2571167383 @default.
- W2789849097 cites W2576053062 @default.
- W2789849097 cites W2579512495 @default.
- W2789849097 cites W2587887956 @default.
- W2789849097 cites W2589027676 @default.
- W2789849097 cites W2589307556 @default.
- W2789849097 cites W2593760987 @default.
- W2789849097 cites W2594302776 @default.
- W2789849097 cites W2596291415 @default.
- W2789849097 cites W2596473334 @default.
- W2789849097 cites W2597212910 @default.
- W2789849097 cites W2609265534 @default.
- W2789849097 cites W2613097798 @default.
- W2789849097 cites W2754649164 @default.
- W2789849097 cites W4234487242 @default.
- W2789849097 cites W4361773680 @default.
- W2789849097 doi "https://doi.org/10.1016/j.future.2018.01.034" @default.
- W2789849097 hasPublicationYear "2018" @default.
- W2789849097 type Work @default.
- W2789849097 sameAs 2789849097 @default.
- W2789849097 citedByCount "17" @default.
- W2789849097 countsByYear W27898490972018 @default.
- W2789849097 countsByYear W27898490972019 @default.
- W2789849097 countsByYear W27898490972020 @default.
- W2789849097 countsByYear W27898490972021 @default.
- W2789849097 countsByYear W27898490972022 @default.
- W2789849097 countsByYear W27898490972023 @default.
- W2789849097 crossrefType "journal-article" @default.
- W2789849097 hasAuthorship W2789849097A5022160194 @default.
- W2789849097 hasAuthorship W2789849097A5055899235 @default.
- W2789849097 hasAuthorship W2789849097A5056769696 @default.
- W2789849097 hasConcept C111919701 @default.
- W2789849097 hasConcept C118524514 @default.
- W2789849097 hasConcept C120314980 @default.
- W2789849097 hasConcept C136264566 @default.
- W2789849097 hasConcept C162324750 @default.
- W2789849097 hasConcept C185410017 @default.
- W2789849097 hasConcept C2778837361 @default.
- W2789849097 hasConcept C2780378061 @default.
- W2789849097 hasConcept C41008148 @default.
- W2789849097 hasConcept C48044578 @default.
- W2789849097 hasConcept C83283714 @default.
- W2789849097 hasConceptScore W2789849097C111919701 @default.
- W2789849097 hasConceptScore W2789849097C118524514 @default.
- W2789849097 hasConceptScore W2789849097C120314980 @default.
- W2789849097 hasConceptScore W2789849097C136264566 @default.
- W2789849097 hasConceptScore W2789849097C162324750 @default.
- W2789849097 hasConceptScore W2789849097C185410017 @default.
- W2789849097 hasConceptScore W2789849097C2778837361 @default.
- W2789849097 hasConceptScore W2789849097C2780378061 @default.
- W2789849097 hasConceptScore W2789849097C41008148 @default.
- W2789849097 hasConceptScore W2789849097C48044578 @default.
- W2789849097 hasConceptScore W2789849097C83283714 @default.
- W2789849097 hasLocation W27898490971 @default.
- W2789849097 hasOpenAccess W2789849097 @default.
- W2789849097 hasPrimaryLocation W27898490971 @default.
- W2789849097 hasRelatedWork W2015136766 @default.
- W2789849097 hasRelatedWork W2072578778 @default.
- W2789849097 hasRelatedWork W2120995962 @default.
- W2789849097 hasRelatedWork W2546696010 @default.
- W2789849097 hasRelatedWork W2555888817 @default.
- W2789849097 hasRelatedWork W2590733122 @default.
- W2789849097 hasRelatedWork W2942359181 @default.